Prosecution Insights
Last updated: April 19, 2026
Application No. 18/931,945

MEDICAL DATA SUMMARY INTERFACE SYSTEM

Non-Final OA §101§102
Filed
Oct 30, 2024
Examiner
BORISSOV, IGOR N
Art Unit
3685
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
GE Precision Healthcare LLC
OA Round
1 (Non-Final)
27%
Grant Probability
At Risk
1-2
OA Rounds
4y 2m
To Grant
69%
With Interview

Examiner Intelligence

Grants only 27% of cases
27%
Career Allow Rate
246 granted / 897 resolved
-24.6% vs TC avg
Strong +42% interview lift
Without
With
+41.6%
Interview Lift
resolved cases with interview
Typical timeline
4y 2m
Avg Prosecution
60 currently pending
Career history
957
Total Applications
across all art units

Statute-Specific Performance

§101
31.7%
-8.3% vs TC avg
§103
38.1%
-1.9% vs TC avg
§102
8.4%
-31.6% vs TC avg
§112
18.0%
-22.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 897 resolved cases

Office Action

§101 §102
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Status of the Application Claims 1-20 have been examined in this application. This communication is the first action on the merits. Information Disclosure Statement The information disclosure statement (IDS) submitted on 10/30/2024 is being considered by the examiner. The submission is in compliance with the provisions of 37 CFR 1.97. Specification Applicant is reminded of the proper content of an abstract of the disclosure. A patent abstract is a concise statement of the technical disclosure of the patent and should include that which is new in the art to which the invention pertains. The abstract should not refer to purported merits or speculative applications of the invention and should not compare the invention with the prior art. See MPEP § 608.01(b) for guidelines for the preparation of patent abstracts. The language should be clear and concise and should not repeat information given in the title. It should avoid using phrases which can be implied, such as, “The disclosure concerns,” “The disclosure defined by this invention,” “The disclosure describes,” etc. In addition, the form and legal phraseology often used in patent claims, such as “means” and “said,” should be avoided. The abstract of the disclosure is objected to because it refer to purported merits or speculative applications of the invention, such as “expedited review”, “expeditious diagnosis”, “suchlike”. A corrected abstract of the disclosure is required and must be presented on a separate sheet, apart from any other text. See MPEP § 608.01(b). Claim Objections Claim 11 is objected to because it recites the limitation “the hyperlink”. There is insufficient antecedent basis for this limitation in the claim. Claim 15 is objected to because it recites the limitation “the original information”. There is insufficient antecedent basis for this limitation in the claim. For the purposes of examination, the Examiner interprets the claims in the Office Action below as though the appropriate changes have been made. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter. In determining whether a claim falls within an excluded category, the Examiner is guided by the Court’s two-part framework, described in Mayo and Alice. Id. at 217-18 (citing Mayo Collaborative Servs. v. Prometheus Labs., Inc., 566 U.S. 66, 75-77 (2012)); Bilski v. Kappos, 561 U.S. 593, 611 (2010); 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50 (Jan. 7, 2019); the October 2019 Update of the 2019 Revised Guidance (Oct. 17, 2019); 2024 Guidance Update on Patent Subject Matter Eligibility, Including on Artificial Intelligence (July 17, 2024), and the USPTO’s Paten Subject Matter Eligibility Memorandums of August 4, 2025 and December 5, 2025. Step 1 Claims are eligible for patent protection under § 101 if they are in one of the four statutory categories and not directed to a judicial exception to patentability (i.e., laws of nature, natural phenomena, and abstract ideas). Alice Corp. v. CLS Bank Int'l, 573 U. S. ____ (2014). The broadest reasonable interpretation of claim 1 encompasses a computer system (e.g., hardware such as a processor and memory) that implements the recited functions. If assuming that the system comprises a device or set of devices, then the system is directed to a machine, which is a statutory category of invention. Claim 9 is directed to a statutory category, because a series of the recited steps satisfies the requirements of a process (a series of acts). Claim 17 is directed to a statutory category, because a non-transitory computer-readable medium comprising computer-readable instructions satisfies the requirements of a product. (Step 1: Yes). Next, the claim is analyzed to determine whether it is directed to a judicial exception. Step 2A – Prong 1 Claim 17 is rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more of receiving and presenting information. The claim recites: 17. A computer program product stored on a non-transitory computer-readable medium and comprising machine-executable instructions, wherein, in response to being executed, the machine-executable instructions cause a system to perform operations, comprising: receiving selection of a hyperlink, wherein the hyperlink is included in a summary of original patient information pertaining to a patient, wherein the summary is generated by a computer-implemented model configured to summarize content in the original patient information pertaining to the patient, and the hyperlink is a digital reference to original information in original patient information pertaining to the patient from which the hyperlinked statement was generated; identifying the original information in the original patient information digitally referenced by the hyperlink; and presenting the original information in conjunction with the summary. The limitations of receiving data; referencing data; identifying information, and presenting the information, as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind, which may be practically performed in the human mind using observation, evaluation, judgment, and opinion (MPEP 2106.04(a)(2), subsection III), and/or certain methods of organizing human activity, such as commercial or legal interactions and/or following rules or instructions, but for the recitation of generic computer components. (Note: Examiner’s language (e.g. “receiving data”; “referencing data”; etc.) is an abbreviated reference to the detailed claim steps and is not an oversimplification of the claim language; the Examiner employing such shortcuts (that refer to more specific steps) when attempting to explain the rejection). That is, other than reciting “by a processor,” nothing in the claim element precludes the step from practically being performed in the mind, and/or performed as organized human activity. Aside from the general technological environment (addressed below), it covers purely mental concepts and/or certain methods of organizing human activity processes, and the mere nominal recitation of a generic network appliance (e.g. an interface for inputting or outputting data, or generic network-based storage devices and displays) does not take the claim limitation out of the mental processes and/or certain methods of organizing human activity grouping. Specifically, the utilizing statistical tools to process data and to output the estimated values - said functions could be performed by a human using mental steps or basic critical thinking, which are types of activities that have been found by the courts to represent abstract ideas (e.g., mental comparison regarding a sample or test subject to a control or target data in Ambry, Myriad CAFC, or the diagnosing an abnormal condition by performing clinical tests and thinking about the results in In re Grams, 888 F.2d 835 (Fed. Cir. 1989) (Grams)). In Grams, the recited functions require obtaining data or patient information (from sensors), and analyze that data to ascertain the existence and identity of an abnormality or estimated responses, and possible causes thereof. While said functions are performed by a computer, they are in essence a mathematical algorithm, in that they represent "[a] procedure for solving a given type of mathematical problem." Gottschalk v. Benson, 409 U.S. 63, 65, 93 S.Ct. 253, 254, 34 L.Ed.2d 273 (1972). Moreover, the Federal Circuit has held, “without additional limitations, a process that employs mathematical algorithms to manipulate existing information to generate additional information is not patent eligible.” Digitech Image Techs., LLC v. Elecs. for Imaging, Inc., 758 F.3d 1344, 1351 (Fed. Cir. 2014). Further, “analyzing information by steps people go through in their minds, or by mathematical algorithms, without more, [are] essentially mental processes within the abstract-idea category.” Elec. Power, 830 F.3d at 1354; see also Synopsys, Inc. v. Mentor Graphics Corp., 839 F.3d 1138, 1146 (Fed. Cir. 2016). “[T]he fact that the required calculations could be performed more efficiently via a computer does not materially alter the patent eligibility of the claimed subject matter.” Bancorp Servs., L.L.C. v. Sun Life Assurance Co. of Can. (U.S.), 687 F.3d 1266, 1278 (Fed. Cir. 2012). Regarding the use of artificial intelligence and/or machine learning techniques (AI/ML), as recited in other claims, said recitation does not make the claim patent eligible, because said tools are utilized merely for data gathering and comparing, and are not utilized in express manipulation and control of functional aspects and/or hardware components/equipment of real-world processes and systems using output of AI models (e.g., manufacturing processes and equipment, medical treatments, communications processes and systems, logistics systems and hardware, interactive smart phone apps, etc.). It is similar to other abstract ideas held to be non-statutory by the courts. See, also, Recentive Analytics, Inc. v. Fox Corp. (Fed. Cir. 2025), wherein the court noted that "iterative training," a claimed feature, was inherent to all machine learning models and thus did not confer eligibility. Additionally, applying AI/ML techniques to analyzing of a medical condition of a patient, an activity predating computers, did not transform the abstract idea into a patent-eligible invention. Furthermore, the claim is analogous to claims in Content Extraction & Transmission LLC v. Wells Fargo Bank, National Ass’n, Nos. 13-1588,-1589, 14-1112, -1687 (Fed. Cir. Dec. 23, 2014), which were generally directed to “the abstract idea of 1) collecting data, 2) recognizing certain data within the collected data set, and 3) storing that recognized data in a memory.” Slip op. at 7. The Court explained that ”[t]he concept of data collection, recognition, and storage is undisputedly well-known,” and noted that “humans have always performed these functions.” Id. The Court then rejected CET’s argument that the claims were patent eligible because they required hardware to perform functions that humans cannot, such as processing and recognizing the stream of bits output by the scanner. Comparing the asserted claims to “the computer-implemented claims in Alice,” the Court concluded that the claims were “drawn to the basic concept of data recognition and storage,” even though they recited a scanner. See, also, Intellectual Ventures I LLC v. Capital One Bank (USA), 792 F.3d 1363 (Fed. Cir. 2015)—tailoring sales information presented to a user based on, e.g., user data and time data; TLI Communications LLC v. AV Automotive LLC 823 F.3d 607, 118 U.S.P.Q.2d 1744 (Fed. Cir. 2016) - recording, transmitting and administering digital images; DataTreasury Corp. v. Fidelity National Information Services 669 Fed. Appx. 572 (Fed. Cir. 2016) - remote image capture with centralized processing and storage; RecogniCorp LLC v. Nintendo Co. 855 F.3d 1322, 122 U.S.P.Q.2d 1377 (Fed Cir. 2017) - encoding and decoding image data; Intellectual Ventures I LLC v. Erie Indemnity Co. 850 F.3d 1315, 121 U.S.P.Q.2d 1928 (Fed Cir. 2017) - mobile interface for accessing remotely stored documents, and retrieving data from a database using an index of XML tags and metafiles. As per receiving, storing and outputting data limitations, it has been held that “As many cases make clear, even if a process of collecting and analyzing information is ‘limited to particular content’ or a particular ‘source,’ that limitation does not make the collection and analysis other than abstract.” SAP Am., Inc. v. InvestPic, LLC, 898 F.3d 1161, 1168 (Fed. Cir. 2018) (citation omitted); see also In re Jobin, 811 F. App’x 633, 637 (Fed. Cir. 2020) (claims to collecting, organizing, grouping, and storing data using techniques such as conducting a survey or crowdsourcing recited a method of organizing human activity, which is a hallmark of abstract ideas). All these cases describe the significant aspects of the claimed invention, albeit at another level of abstraction. See Apple, Inc. v. Ameranth, Inc., 842 F.3d 1229, 1240-41 (Fed. Cir. 2016) ("An abstract idea can generally be described at different levels of abstraction. As the Board has done, the claimed abstract idea could be described as generating menus on a computer, or generating a second menu from a first menu and sending the second menu to another location. It could be described in other ways, including, as indicated in the specification, taking orders from restaurant customers on a computer."). Therefore, if a claim limitation, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components, then it falls within the “Mental Processes” and/or “Certain Methods of Organizing Human Activity” grouping of abstract ideas. Accordingly, the claim recites an abstract idea. (Step 2A – Prong 1: Yes). Step 2A – Prong 2 In Prong Two, the Examiner determines whether claim 17, as a whole, recites additional elements that integrate the judicial exception into a practical application of the exception, i.e., whether the additional elements apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that the claim is no more than a drafting effort designed to monopolize the judicial exception. See Guidance, 84 Fed. Reg. at 54-55. If the additional elements do not integrate the judicial exception into a practical application, then the claim is directed to the judicial exception. See id., 84 Fed. Reg. at 54. “An additional element [that] reflects an improvement in the functioning of a computer, or an improvement to other technology or technical field” is indicative of integrating a judicial exception into a practical application. See Guidance, 84 Fed. Reg. at 55. The Examiner determined that this judicial exception is not integrated into a practical application, because there are no meaningful limitations that transform the exception into a patent eligible application. In particular, the claim recites additional elements – using a processor to perform the steps of receiving data; referencing data; identifying information, and presenting the information. However, the processor in each step is recited (or implied) at a high level of generality, i.e., as a generic processor performing a generic computer functions of processing data, including receiving, storing, comparing, and outputting data. This generic processor limitation is no more than mere instructions to apply the exception using a generic computer component. See MPEP 2106.05(f). The processor that performs the recited steps merely automates these steps which can be done mentally or manually. Thus, while the additional elements have and execute instructions to perform the abstract idea itself, this also does not serve to integrate the abstract idea into a practical application as it merely amounts to instructions to "apply it." The claim only manipulates abstract data elements into another form, and does not set forth improvements to another technological field or the functioning of the computer itself and, instead, uses computer elements as tools in a conventional way to improve the functioning of the abstract idea identified above. Further, looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually; there is no indication that the combination of elements improves the functioning of a computer or improves any other technology, - their collective functions merely provide conventional computer implementation. None of the additional elements "offers a meaningful limitation beyond generally linking 'the use of the [method] to a particular technological environment,' that is, implementation via computers." Alice Corp., slip op. at 16 (citing Bilski v. Kappos, 561 U.S. 610, 611 (U.S. 2010)). The recited steps do not control or improve operation of a machine (MPEP 2106.05(a)), do not effect a transformation or reduction of a particular article to a different state or thing (MPEP 2106.05(c)), and do not apply the judicial exception with, or by use a particular machine (MPEP 2106.05(b)), but, instead, require receiving, storing, comparing and outputting data. Regarding the use of AI/ML techniques, said steps are nothing more than an attempt to recycle preexisting AI/ML technologies to apply for a particular computing application. There are no improvements in said AI/ML techniques, such as advances in the field of computer science itself, or designing a new neural network, and there is no controlling of a technological process using the outcome of said AI/ML operations. Thus, the use of a trained machine learning model does not integrate the abstract idea of limitation into a practical application, because, under its broadest reasonable interpretation when read in light of the specification, the “estimating a duration and a probability” encompasses mental processes practically performed in the human mind by observation, evaluation, judgment, and opinion. See MPEP 2106.04(a)(2), subsection III. Similar to Recentive Analytics, the remaining claims recite conventional machine learning models without specific improvements to the technology itself. The court noted that "iterative training," a claimed feature, was inherent to all machine learning models and thus did not confer eligibility. The pending claims do not articulate "how" a technological improvement is achieved. As per receiving, storing and/or outputting data limitations, these recitations amount to mere data gathering and/or outputting, is insignificant post-solution or extra-solution component and represents nominal recitation of technology. Insignificant "post-solution” or “extra-solution" activity means activity that is not central to the purpose of the method invented by the applicant. However, “(c) Whether its involvement is extra-solution activity or a field-of-use, i.e., the extent to which (or how) the machine or apparatus imposes meaningful limits on the execution of the claimed method steps. Use of a machine or apparatus that contributes only nominally or insignificantly to the execution of the claimed method (e.g., in a data gathering step or in a field-of-use limitation) would weigh against eligibility”. See Bilski, 138 S. Ct. at 3230 (citing Parker v. Flook, 437 U.S. 584, 590, 198 USPQ 193, ___ (1978)). Thus, claim drafting strategies that attempt to circumvent the basic exceptions to § 101 using, for example, highly stylized language, hollow field-of-use limitations, or the recitation of token post-solution activity should not be credited. See Bilski, 130 S. Ct. at 3230. Therefore, claim 17 as a whole, outputs only data structure, - everything remains in the form of a code stored in the computer memory. Accordingly, even in combination, these additional elements do not integrate the abstract idea into a practical application because they do not impose any meaningful limits on practicing the abstract idea. Therefore, the claim is directed to an abstract idea. (Step 2A – Prong 2: No). Step 2B If a claim has been determined to be directed to a judicial exception under revised Step 2A, examiners should then evaluate the additional elements individually and in combination under Step 2B to determine whether the provide an inventive concept (i.e., whether the additional elements amount to significantly more than the exception itself). The Examiner determined that the claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to integration of the abstract idea into a practical application, the additional element of using a processor to perform the steps of receiving data; referencing data; identifying information, and presenting the information amount to no more than mere instructions to apply the exception using a generic computer component. The claim is now re-evaluated in Step 2B to determine if it is more than what is well-understood, routine, conventional activity in the field. The system would require a processor and memory in order to perform basic computer functions of receiving information, storing the information in a database, retrieving information from the database, comparing data, and outputting said information. These components are not explicitly recited and therefore must be construed at the highest level of generality. Based on the Specification ([0139] …The processing unit 1304 can be any of various commercially available processors and may include a cache memory), the invention utilizes conventional communication networks and generic processors, which can be found in mobile devices or desktop computers, conventional memory and display devices, and the functions performed by said generic computer elements are basic functions of a computer - performing a mathematical operation, receiving, storing, comparing and outputting data - have recognized by the courts as routine and conventional activity. Specifically, regarding the recited functions, MPEP 2106.05(d)(II) defines said functions as routine and conventional, or as insignificant extra-solution activity: i. Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016) (using a telephone for image transmission); OIP Techs., Inc., v. Amazon.com, Inc., 788 F.3d 1359, 1363, 115 USPQ2d 1090, 1093 (Fed. Cir. 2015) (sending messages over a network); buySAFE, Inc. v. Google, Inc., 765 F.3d 1350, 1355, 112 USPQ2d 1093, 1096 (Fed. Cir. 2014) (computer receives and sends information over a network); but see DDR Holdings, LLC v. Hotels.com, L.P., 773 F.3d 1245, 1258, 113 USPQ2d 1097, 1106 (Fed. Cir. 2014) (“Unlike the claims in Ultramercial, the claims at issue here specify how interactions with the Internet are manipulated to yield a desired result‐‐a result that overrides the routine and conventional sequence of events ordinarily triggered by the click of a hyperlink.” (emphasis added)); ii. Performing repetitive calculations, Flook, 437 U.S. at 594, 198 USPQ2d at 199 (recomputing or readjusting alarm limit values); Bancorp Services v. Sun Life, 687 F.3d 1266, 1278, 103 USPQ2d 1425, 1433 (Fed. Cir. 2012) (“The computer required by some of Bancorp’s claims is employed only for its most basic function, the performance of repetitive calculations, and as such does not impose meaningful limits on the scope of those claims.”); collecting and comparing known information in Classen 659 F.3d 1057, 100 U.S.P.Q.2d 1492 (Fed. Cir. 2011) iii. Electronic recordkeeping, Alice Corp., 134 S. Ct. at 2359, 110 USPQ2d at 1984 (creating and maintaining “shadow accounts”); Ultramercial, 772 F.3d at 716, 112 USPQ2d at 1755 (updating an activity log); iv. Storing and retrieving information in memory, Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015); OIP Techs., 788 F.3d at 1363, 115 USPQ2d at 1092-93; v. Electronically scanning or extracting data from a physical document, Content Extraction and Transmission, LLC v. Wells Fargo Bank, 776 F.3d 1343, 1348, 113 USPQ2d 1354, 1358 (Fed. Cir. 2014) (optical character recognition); and vi. A web browser’s back and forward button functionality, Internet Patent Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015). Regarding the use of AM/ML techniques, said steps are nothing more than an attempt to recycle preexisting AI/ML technologies to apply for a health analysis application. There are no improvements in said AI/ML techniques, such as advances in the field of computer science itself, or designing a new neural network, and there is no controlling of a technological process using the outcome of said AI/ML operations. The pending claims neither specify a specific technical purpose for which the method is used, nor the claims define a specific technical implementation of the method, nor the claimed method is particularly adapted for that implementation in that its design is motivated by technical considerations of the internal functioning of the computer. Said AI/ML algorithms and computations are done inside of a computer, and do not have a real-world impact and are not tied to the functionality of the computer. Further, there is no evidence that the invention lies in the training phase or execution phase or both; said AI/ML recitation represents merely conventionally applying an existing model to an existing data from publicly accessible databases, with the result being not technological, but purely entrepreneurial. Similar to Recentive Analytics, Inc. v. Fox Corp. (Fed. Cir. 2025), the machine learning technology as recited in the pending claims and described in the Specification is conventional, such as, for example: [0065] “…any suitable vectoring technology can be utilized, e.g., Euclidean distance, cosine similarity, etc. Other suitable AI/ML technologies/processes 125A-n that can be applied include, in a non-limiting list, any of vector representation via term frequency-inverse document frequency (tf-idf) capturing term/token frequency in the input data 108A-n versus terms/tokens present in medical data 196A-n, historical data 194A-n, etc. Other applicable AI/ML technologies include, in a non-limiting list, neural network embedding, layer vector representation of terms/categories (e.g., common terms having different tense), bidirectional and auto-regressive transformer (BART) model architecture,…, and suchlike”, and the processes and logic flows described in this Specification can be performed by one or more programmable processors executing one or more computer programs to perform actions by operating on input data and generating output. (Specification [0139] …The processing unit 1304 can be any of various commercially available processors and may include a cache memory.) Thus, the background of the current application does not provide any indication that the processor is anything other than a generic, off-the-shelf computer component, and the Symantec, TLI, and OIP Techs. court decisions cited in MPEP 2106.05(d)(II) indicate that mere collection or receipt of data over a network is a well‐understood, routine, and conventional function when it is claimed in a merely generic manner (as it is here). Also, the claim does not involve a non-conventional and non-generic arrangement of known, conventional pieces, as asserted, by receiving information from an external source of data. The receiving of data from an external source over a network, such as via the Internet, can fairly be characterized as insignificant extra-solution activity that does not receive patentable weight. See Bilski, 545 F.3d 943, 963 (Fed. Cir. 2008) (en banc), aff’d sub nom Bilski v. Kappos, 561 U.S. 593 (2010) (characterizing data gathering steps as insignificant extra-solution activity). Similar to Content Extraction, 776 F.3d at 1347; Ultramercial, Inc. v. Hulu, LLC, 772 F.3d 709, 715 (Fed. Cir. 2014): “And we have recognized that merely presenting the results of abstract processes of collecting and analyzing information, without more (such as identifying a particular tool for presentation), is abstract as an ancillary part of such collection and analysis.” Here, the claims are clearly focused on the combination of those abstract-idea processes. The advance they purport to make is a process of gathering and analyzing information of a specified content, then displaying the results, and not any particular asserted inventive technology for performing those functions. They are therefore directed to an abstract idea. As such, the additional elements, considered individually and in combination with the other claim elements, do not make the claim as a whole significantly more than the abstract idea itself. Accordingly, a conclusion that the recited steps are well-understood, routine, conventional activity is supported under Berkheimer Option 2. Mere instructions to apply an exception using a generic computer component cannot provide an inventive concept. Further, similar to Electric Power Group v Alstom S.A. (Fed Cir, 2015-1778, 8/1/2016) (Power Group), claim’ invocation of computers, networks, and displays does not transform the claimed subject matter into patent-eligible applications. Claim 17 does not require any nonconventional computer, network, or display components, or even a “non-conventional and non-generic arrangement of known, conventional pieces,” but merely call for performance of the claimed information collection, analysis, and display functions on a set of generic computer components and display devices. Nothing in the claim, understood in light of the specification, requires anything other than off-the-shelf, conventional computer, network, and display technology for gathering, sending, and presenting the desired information. Analogous to Power Group, claim 17 does not even require a new source or type of information, or new techniques for analyzing it. As a result, the claim does not require an arguably inventive set of components or methods, such as measurement devices or techniques that would generate new data. The claim does not invoke any assertedly inventive programming. Merely requiring the selection and manipulation of information - to provide a “humanly comprehensible” amount of information useful for users - by itself does not transform the otherwise-abstract processes of information collection and analysis into patent eligible subject matter. Merely obtaining and selecting information, by content or source, for collection, analysis, and display does nothing significant to differentiate a process from ordinary mental processes, whose implicit exclusion from § 101 undergirds the information-based category of abstract ideas. Therefore, the recited steps represent implementing the abstract idea on a generic computer, or “reciting a commonplace business method aimed at processing business information despite being applied on a general purpose computer” Versata, p. 53; Ultramerical, pp. 11-12. Furthermore, the recited functions do not improve the functioning of computers itself, including of the processor(s) or the network elements. There are no physical improvements in the claim, like a faster processor or more efficient memory, and there is no operational improvement, like mathematical computation that improve the functioning of the computer. Applicant did not invent a new type of computer; Applicant like everyone else programs their computer to perform functions. The Supreme Court in Alice indicated that an abstract claim might be statutory if it improved another technology or the computer processing itself. Using a (programmed) computer to implement a common business practice does neither. The Federal Circuit has recognized that "an invocation of already-available computers that are not themselves plausibly asserted to be an advance, for use in carrying out improved mathematical calculations, amounts to a recitation of what is 'well-understood, routine, [and] conventional.'" SAP Am., Inc. v. InvestPic, LLC, 890 F.3d 1016, 1023 (Fed. Cir. 2018) (alteration in original) (citing Mayo v. Prometheus, 566 U.S. 66, 73 (2012)). Apart from the instructions to implement the abstract idea, they only serve to perform well-understood functions (e.g., receiving, storing, comparing and transmitting data—see the Specification as well as Alice Corp.; Intellectual Ventures I LLC v. Symantec Corp., 838 F.3d 1307 (Fed. Cir. 2016); and Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334 (Fed. Cir. 2015) covering the well-known nature of these computer functions). Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually; there is no indication that the combination of elements improves the functioning of a computer or improves any other technology. Their collective functions merely provide conventional computer implementation. “However, it is not apparent how appellant’s programmed digital computer can produce any synergistic result. Instead, the computer will simply do the job it is instructed to do. Where is there any surprising or unexpected result? The unlikelihood of any such result is merely one more reason why patents should not be granted in situations where the only novelty is in the programming of general purpose digital computers”. See Sakraida v. Ag. Pro, Inc., 425 U.S. 273 [ 96 S.Ct. 1532, 47 L.Ed.2d 784], 189 USPQ 449 (1976) and A P Tea Co. V. Supermarket Corp., 340 U.S. 147 [ 71 S.Ct. 127, 95 L.Ed. 162], 87 USPQ 303 (1950). Further, there are no improvements in AI/ML techniques, such as advances in the field of computer science itself, or designing a new neural network, and there is no controlling of a technological process using the outcome of said techniques. Said AI/ML algorithms and computations are done inside of a computer, and do not have a real-world impact and are not tied to the functionality of the computer. Further, there is no evidence that the invention lies in the training phase or execution phase or both. However, machine learning subject matter becomes patent-eligible only when it achieves a technical purpose and, at minimum, offers a technical effect that does more than performing the solution more quickly or efficiently. The general application of machine learning techniques to solve a problem predictably is not eligible for patentability. And a “hyperlink” limitation is not significantly more because the hyperlink is used for its conventional purpose of retrieving a data source over a network. There is nothing technologically distinctive about the messages being sent, they are simply messages being sent over a network between parties. Hyperlinks were also sent to a user device and used to navigate to a webpage in the ineligible claims at issue in Internet Patents Corp. v. Active Network, Inc., 790 F.3d 1343 (Fed. Cir. 2015). None of the additional elements recited "offers a meaningful limitation beyond generally linking 'the use of the [method] to a particular technological environment,' that is, implementation via computers." Alice Corp., slip op. at 16 (citing Bilski v. Kappos, 561 U.S. 610, 611 (U.S. 2010)) Furthermore, there is no transformation recited in the claim as understood in view of 35 USC 101. The recited steps merely represent abstract ideas which cannot meet the transformation test because they are not physical objects or substances. Bilski, 545 F.3d at 963. Said steps are nothing more than mere manipulation or reorganization of data, which does not satisfy the transformation prong. It is further noted that the underlying idea of the recited steps could be performed via pen and paper or in a person's mind. Moreover, “We agree with the district court that the claimed process manipulates data to organize it in a logical way such that additional fraud tests may be performed. The mere manipulation or reorganization of data, however, does not satisfy the transformation prong.” and “Abele made clear that the basic character of a process claim drawn to an abstract idea is not changed by claiming only its performance by computers, or by claiming the process embodied in program instructions on a computer readable medium. Thus, merely claiming a software implementation of a purely mental process that could otherwise be performed without the use of a computer does not satisfy the machine prong of the machine-or-transformation test”. CyberSource, 659 F.3d 1057, 100 U.S.P.Q.2d 1492 (Fed. Cir. 2011) Therefore, the claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception, because, when considered separately and in combination, the claim elements do not add significantly more to the exception. Considered separately and as an ordered combination, the claim elements do not provide an improvement to another technology or technical field; do not provide an improvement to the functioning of the computer itself; do not apply the judicial exception by use of a particular machine; do not effect a transformation or reduce a particular article to a different state or thing; and do not add a specific limitation other than what is well-understood, routine and conventional in the operation of a generic computer. None of the hardware recited "offers a meaningful limitation beyond generally linking 'the use of the [method] to a particular technological environment,' that is, implementation via computers." Id., slip op. at 16 (citing Bilski v. Kappos, 561 U.S. 610, 611 (U.S. 2010)). As per “A computer program product stored on a non-transitory computer-readable medium and comprising machine-executable instructions, wherein, in response to being executed, the machine-executable instructions cause a system to perform operations, comprising” recitations, these limitations do not add significantly more because they are simply an attempt to limit the abstract idea to a particular technological environment, that is, implementation via computers." Id., slip op. at 16 (citing Bilski v. Kappos, 561 U.S. 610, 611 (U.S. 2010)). Limiting the claims to the particular technological environment is, without more, insufficient to transform the claim into patent-eligible applications of the abstract idea at their core. Accordingly, claim 17 is not directed to significantly more than the exception itself, and is not eligible subject matter under § 101. (Step 2B: No). Further, although the Examiner takes the steps recited in the independent claim as exemplary, the Examiner points out that limitations recited in dependent claims 18-20 further narrow the abstract idea but do not make the claims any less abstract. Dependent claims 18-20 each merely add further details of the abstract steps recited in claim 17 without including an improvement to another technology or technical field, an improvement to the functioning of the computer itself, or meaningful limitations beyond generally linking the use of an abstract idea to a particular technological environment. These claims "add nothing of practical significance to the underlying idea," and thus do not transform the claimed abstract idea into patentable subject matter. Ultramercial, 772 F.3d at 716. Therefore, dependent claims 18-20 are also directed to non-statutory subject matter. Because Applicant’s apparatus claims 1-8 and method claims 9-16 add nothing of substance to the underlying abstract idea, they too are patent ineligi-ble under §101. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale or otherwise available to the public before the effective filing date of the claimed invention. Claims 1-20 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Paik et al. (US 2021/0216822 A1) Claim 1. A system, comprising: at least one processor; and at least one memory coupled to the at least one processor and having instructions stored thereon, wherein, in response to the at least one processor executing the instructions, the instructions facilitate performance of operations, comprising: vectoring content of a patient’s medical information to generate a first vectored content; [0186]; [0194] identifying, based on the first vectored content, second vectored content in a digital library comprising medical condition information, wherein a medical condition defined by the second vectored content is assigned to the patient based on threshold similarity between the first vectored content and the second vectored content; [0084]; [0107]; [0120]; [0121]; [0148]; [0186]; [0194]; [0186]; [0270]; [0285] generating a summary of the medical condition of the patient, wherein the summary is generated by a computer-implemented language model operating on at least one of the first vectored content or the second vectored content; [0107]; [0186]; [0210]; [0285], and presenting the summary to facilitate subsequent investigation of the patient’s medical condition. [0062]; [0121]; [0125]; [0210]; [0247]; [0285] Claim 2. The system of claim 1, wherein the summary includes a hyperlinked statement, wherein the hyperlinked statement is a digital reference to information in the patient’s medical information from which the hyperlinked statement was generated, wherein the operations further comprise: detecting selection of the hyperlinked statement; and presenting the patient’s medical information from which the hyperlinked statement was derived. [0014]; [0015]; [0062]; [0116]; [0192]; [0196] Claim 3. The system of claim 1, wherein the patient’s medical information comprises at least one of personal data pertaining to the patient, medical data pertaining to the patient, an image of the patient, or an image of at least one organ of the patient. [0116]; [0196] Claim 4. The system of claim 1, wherein the operations further comprise: determining, from the patient’s medical information, a diagnosis of the patient’s medical condition, wherein the diagnosis comprises generating third vectored content from the patient’s medical information and identifying a fourth vectored content in the digital library comprising the medical condition information being similar to the third vectored content; and presenting the diagnosis for further investigation of the patient’s medical condition. [0107]; [0084]; [0120]; [0121]; [0148]; [0186]; [0194]; [0270]; [0285] (current findings, including images and diagnosis are compared to the prior results) Claim 5. The system of claim 4, wherein the operations further comprise: determining a degree of confidence in the appropriateness of the diagnosis to the patient’s medical condition, wherein the degree of confidence is based on a measure of similarity between the third vectored content and the fourth vectored content; and presenting the degree of confidence with the diagnosis. [0084]; [0107]; [0120]; [0121]; [0148]; [0186]; [0194]; [0186]; [0270]; [0285] Claim 6. The system of claim 4, wherein the operations further comprise: receiving a confirmation of the diagnosis; and in response to receiving the confirmation of the diagnosis, generating a report presenting a summary of the patient’s medical condition and the diagnosis. [0027]; [0046]; [0062]; [0128] Claim 7. The system of claim 1, wherein the patient’s medical information is first medical information and the summary of the medical information is a summary of the first medical information, wherein the operations further comprise: detecting an edit applied to the summary of the first medical information, wherein the edit comprises addition or removal of information from the summary of the first medical information. [0046]; [0128]; [0147] Claim 8. The system of claim 7, wherein the operations further comprise: updating the first medical information to generate second medical information, wherein the second medical information comprises the edit applied to the summary of the first medical information. [0046]; [0128]; [0147] Claim 9. Pike discloses a computer-implemented method, comprising: generating, by a device comprising at least one processor, a summary, wherein the summary summarizes two or more items of medical information pertaining to a patient, wherein the summary is generated by a large language model operating on the two or more items of medical information pertaining to the patient; [0215] identifying, by the device, an image associated with the patient and pertains to content of the summary, wherein the image is included in the two or more items of medical information pertaining to the patient; [0062] generating, by the device, a diagnosis of a medical condition of the patient, wherein the diagnosis is generated based in part on similarity between information presented in the summary and at least one diagnosis present in a digital library comprising medical diagnosis information [0121]; [0186]; [0270], wherein the similarity is assessed based on a first vectored content generated from the information presented in the summary and a second vectored content generated from the at least one diagnosis in the digital library comprising medical diagnosis information; [0186]; [0194] and presenting, by the device, the summary in conjunction with at least one of the diagnosis or the image. [0062]; [0121]; [0125]; [0210]; [0247] Claim 10. The computer-implemented method of claim 9, wherein the summary includes a hyperlink to original information sourced from the two or more items of medical information from which the summary was generated, wherein the computer-implemented method further comprising: detecting, by the device, selection of the hyperlink; and in response to detecting, by the device, selection of the hyperlink, presenting, by the device, the original information in conjunction with the summary in conjunction with at least one of the diagnosis or the image. [0062]; [0014]; [0015]; [0062]; [0116]; [0192]; [0196] Claim 11. The computer-implemented method of claim 9, wherein the hyperlink in the summary is a first hyperlink to first information sourced from the two or more items of medical information which the summary was generated, and wherein the medical image further comprises a second hyperlink pertaining to second information available in the two or more items of medical information. [0116]; [0192]; [0196]; [0201]; [0202] (prior images of various tests and studies) Claim 12. The computer-implemented method of claim 9, further comprising: detecting, by the device, an edit to the summary; and updating, by the device, information in the original information in accordance with the edit to the summary. [0046]; [0128]; [0147] Claim 13. The computer-implemented method of claim 11, wherein the edit to the summary comprises addition, modification, or removal of information from the summary. [0046]; [0128]; [0147] Claim 14. The computer-implemented method of claim 12, further comprising: updating, by the device, the original information to generate second information, wherein the second information comprises the edit applied to the summary of the original information. [0046]; [0128]; [0147] Claim 15. The computer-implemented method of claim 9, wherein the original information comprises at least one of a medical image or medical condition information. [0116]; [0192]; [0196]; [0201]; [0202] Claim 16. The computer-implemented method of claim 15, further comprising: generating, by the device, a degree of confidence in the applicability of the diagnosis to the patient medical condition, [0140]; [0183] wherein the degree of confidence is based on a measure of similarity between the first vectored content generated from the information presented in the summary and the second vectored content generated from the at least one diagnosis in the digital library comprising medical diagnosis information; [0186]; [0194] and presenting, by the device, the degree of confidence in conjunction with the diagnosis. [0120]; [0140]; [0148]; [0270]; [0285] Claim 17. Pike discloses a computer program product stored on a non-transitory computer-readable medium and comprising machine-executable instructions, wherein, in response to being executed, the machine-executable instructions cause a system to perform operations, comprising: receiving selection of a hyperlink, wherein the hyperlink is included in a summary of original patient information pertaining to a patient, wherein the summary is generated by a computer-implemented model configured to summarize content in the original patient information pertaining to the patient, and the hyperlink is a digital reference to original information in original patient information pertaining to the patient from which the hyperlinked statement was generated; [0014]; [0015]; [0062]; [0192] identifying the original information in the original patient information digitally referenced by the hyperlink; [0116]; [0062]; [0192]; [0196], and presenting the original information in conjunction with the summary. [0116]; [0192]; [0196] Claim 18. The computer program product according to claim 17, wherein the hyperlink is a first hyperlink, wherein the original patient information pertaining to the patient is first patient information utilized to create the summary, the operations further comprising: receiving selection of a second hyperlink, wherein the second hyperlink is included in an image presented in conjunction with the summary, and the second hyperlink links to second patient information pertaining to the patient; identifying the second patient information pertaining to the hyperlink; and presenting the second patient information. [0116]; [0192]; [0196]; [0201]; [0202] (prior images of various tests and studies) Claim 19. The computer program product according to claim 17, the operations further comprising: comparing the first patient information and the second patient information with medical condition information, wherein the medical condition information is stored in a digital library comprising medical diagnosis information and includes information pertaining to a medical condition; identifying, in the medical condition information, the medical condition, wherein identification of the medical condition information comprises comparing similarity of at least one of first vectored content generated from the first patient information or second vectored content generated from the second patient information with third vectored content generated from the medical condition information stored in the digital library comprising medical diagnosis information; generating a diagnosis of the medical condition, wherein the diagnosis is generated based on a comparison of at least one of the first patient information or the second patient information with diagnosis information included in the digital library comprising medical diagnosis information, wherein the diagnosis is based on measure of similarity between at least one of the first vectored content or the second vectored content with a third vectored content generated for the diagnosis; and presenting the diagnosis for review. [0121]; [0186]; [0192]; [0194]; [0196]; [0201]; [0202]; [0270] Claim 20. The computer program product according to claim 19, the operations further comprising: generating a degree of confidence for the diagnosis, wherein the degree of confidence is based on at least one of a first relatedness measure of the first vectored content to the medical condition or a second relatedness measure of the second vectored content to the medical condition; and presenting the degree of confidence in conjunction with the diagnosis. [0084]; [0107]; [0120]; [0140]; [0148]; [0270]; [0285] Citations of pertinent art The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Amarasingham et al. - US 2023/0104655 A1 – discloses generating a summary of patient information, said summary including hyperlinks to original and current medical findings. [0026]; [0043] – [0045]; [0050]; [0076]; [0085]; [0129]; Lyman et al. - US 2022/0028530 A1 - discloses the use of vectoring techniques for assessing medical content similarity Lucas et al. - US 2021/0151192 A1 – discloses the use of vectoring techniques for assessing medical content similarity Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to Igor Borissov whose telephone number is 571-272-6801. If attempts to reach the examiner by telephone are unsuccessful, the examiner's supervisor Kambiz Abdi can be reached on 571-272-6702. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). /IGOR N BORISSOV/Primary Examiner, Art Unit 3685 3/14/2026
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Prosecution Timeline

Oct 30, 2024
Application Filed
Nov 15, 2024
Response after Non-Final Action
Mar 15, 2026
Non-Final Rejection — §101, §102 (current)

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