Prosecution Insights
Last updated: April 19, 2026
Application No. 18/848,575

GHOST MODE GLASSES FOR USE IN SERVICING MEDICAL DEVICES AND SERVICING WORKFLOWS USING SAME

Non-Final OA §102§103
Filed
Sep 19, 2024
Examiner
WENDMAGEGN, GIRUMSEW
Art Unit
2484
Tech Center
2400 — Computer Networks
Assignee
Koninklijke Philips N V
OA Round
1 (Non-Final)
77%
Grant Probability
Favorable
1-2
OA Rounds
2y 11m
To Grant
98%
With Interview

Examiner Intelligence

Grants 77% — above average
77%
Career Allow Rate
742 granted / 968 resolved
+18.7% vs TC avg
Strong +21% interview lift
Without
With
+21.4%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
16 currently pending
Career history
984
Total Applications
across all art units

Statute-Specific Performance

§101
7.3%
-32.7% vs TC avg
§103
42.4%
+2.4% vs TC avg
§102
35.1%
-4.9% vs TC avg
§112
3.3%
-36.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 968 resolved cases

Office Action

§102 §103
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 . Claim Rejections - 35 USC § 102 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 1-6, 8, 10, 12-15,17, 20 are rejected under 35 U.S.C. 102(A)(1) as being disclosed by Jaggers et al US 2021/0398054(hereinafter Jaggers). Regarding claim1, Jaggers discloses a non-transitory computer readable medium storing: data including recorded historical service call videos for one or more medical imaging devices([0214], fig. 7), the videos being annotated with information about the service calls([0131], library of machine learning information can be developed and enhanced as historical data is collected as each of baseline machine, device, or system information and information, where the collection is generated from a plurality of service or repair events for a specific machine, device, or system or a collection of machines, devices, or systems. The service or repair event information incorporated in the historical information can provide actual usage data for a specific machine, device, or system or a collection of machines, devices, or systems, where such actual usage data can be leveraged to provide useful insights, [0119-0120], [0211]); select one of the historical service call videos based on the acquired video ([0196], the training materials can be viewable by the technician on a display device. In addition, the training materials can be provided in a variety of formats. For example, the training materials can be provided as one or more of a recorded video, a virtual reality environment, a game, a person, a virtual assistant, or through other appropriate media formats); and provide, on a display device, the selected historical service call video ([0196], the training materials can be viewable by the technician on a display device. In addition, the training materials can be provided in a variety of formats. For example, the training materials can be provided as one or more of a recorded video, a virtual reality environment, a game, a person, a virtual assistant, or through other appropriate media formats). Regarding claim2, Jaggers discloses the non-transitory computer readable medium of claim 1, wherein the information about the service calls comprises at least one of: a visual marker or reference point indicative of a component of the medical imaging device represented in the video, a description of one or more servicing actions being executed on the medical imaging device represented in the video, a make and/or model of the imaging device whose servicing is recorded, a date of recording, a landmark on the medical imaging device represented in the video, and/or one or more segment points segmenting the video into chapters([0042], [0200], The obtained information can be transcribed 315 to collect and document, e.g., the make, model and serial number of the machine, device, or system). Regarding claim3, Jaggers discloses the non-transitory computer readable medium of claim 1 wherein the display device comprises an augmented-reality heads-up display (AR-HUD) device and the selected historical service call video is provided on the display device of the AR-HUD device as AR content ([0038], training materials can be augmented reality(A/R) material). Regarding claim4, Jaggers discloses the non-transitory computer readable medium of claim1, wherein the recorded historical service call videos include metadata related to a type of medical device and a type of service performed, and select one or more of the historical service call videos based on the acquired video includes: analyzing the metadata of the recorded historical service call videos; and selecting one or more recorded historical service call videos having metadata most similar to metadata of the acquired video([0139], A technician, an owner, etc. can obtain an image of the information plate or label and the acquired image can be processed via optical character recognition (“OCR”) to extract relevant information about a machine, device, or system, such as manufacturer name, serial number, manufacture date, etc. In implementations, information extracted from the images via OCR can be incorporated in a searchable database to provide information relevant to a service or repair event for the machine, device, or system. For example, information derived from the images via OCR can be compared to information in one or more searchable databases to provide specific information about the specific machine, device, or system, a collection of similar machine, device, or systems, prior repairs events, recalls, etc). Regarding claim5, Jaggers discloses the non-transitory computer readable medium of claim 1, wherein select one or more of the historical service call videos based on the acquired video includes: receiving, from a remote service engineer (RSE), an input comprising a selection of one or more of the historical service call videos ([0016], [0067], [0107], [0159], remote assistance). Regarding claim6, Jaggers discloses the non-transitory computer readable medium of claim 1, wherein select one or more of the historical service call videos based on the acquired video includes: selecting a plurality of historical service call videos([0088], technician can manually selected training material from a library of materials); providing, on the display device , a user interface (UI) (28) showing the selected historical service call videos, and receiving an input indicative of a selection of one of the historical service call videos shown on the UI([0088], technician can manually selected training material from a library of materials). Regarding claim8, Jaggers discloses the non-transitory computer readable medium of claim1, wherein the recorded historical service call videos includes recorded videos of historical service calls which are simulated service calls depicting an ideal service call([0130- 0131], library of machine learning information can be developed and enhanced as historical data is collected as each of baseline machine, device, or system information and information, where the collection is generated from a plurality of service or repair events for a specific machine, device, or system or a collection of machines, devices, or systems. The service or repair event information incorporated in the historical information can provide actual usage data for a specific machine, device, or system or a collection of machines, devices, or systems, where such actual usage data can be leveraged to provide useful insights, [0119-0120], [0211]). Regarding claim10, Jaggers discloses an augmented-reality heads-up display (AR-HUD) device comprising: a camera ([0038],[0112], fig. 7 user device includes image capturing device) ; the display device([0196], training material can be viewable by the technician on a display device, [0208], fig. 7); and the non-transitory computer readable medium of claim 1; wherein the selected historical service call video is provided on the display device of the AR-HUD device as augmented reality content comprising a transparent or semi-transparent overlay ([0038], training materials can be augmented reality(A/R) material). Regarding claim12, Jaggers discloses a system for providing maintenance videos for one or more medical devices(fig. 7), the system comprising: an augmented-reality heads-up display (AR-HUD) device including a camera and at least one display device ([0167], [0196], training material can be viewable by the technician on a display device, [0208], fig. 7); and a server computer configured to: control the camera to acquire video of a current medical device being serviced in a current service call(); select one or more historical service call videos based on the acquired video, the historical service call videos comprising pre-recorded historical service call videos for one or more medical imaging devices, the videos being annotated with information about the service calls(); and provide, on the display device, the one or more selected historical service call video as a transparent or semi-transparent overlay ([0038], training materials can be augmented reality(A/R) material). Claim13 is rejected for similar reason as discussed in claim4 above. Regarding claim14, Jaggers discloses the system of claim 12, wherein the server computer is configured to: receive, from a remote service engineer (RSE), an input comprising a selection of one or more of the historical service call videos ([0016], [0067], [0107], [0159], remote assistance). Claim15 is rejected for similar reason as discussed in claim6 above. Regarding claim17, Jaggers discloses the system claim 12, wherein the recorded historical service call videos includes recorded videos of historical service calls which are simulated service calls depicting an ideal service call([0130- 0131], library of machine learning information can be developed and enhanced as historical data is collected as each of baseline machine, device, or system information and information, where the collection is generated from a plurality of service or repair events for a specific machine, device, or system or a collection of machines, devices, or systems. The service or repair event information incorporated in the historical information can provide actual usage data for a specific machine, device, or system or a collection of machines, devices, or systems, where such actual usage data can be leveraged to provide useful insights, [0119-0120], [0211]). Claim20 is rejected for similar reason as discussed in claim12 above. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 7, 16 are rejected under 35 U.S.C. 103 as being unpatentable over Jaggers as applied to claims 1-6, 8, 10, 12-15,17, 20 above, and further in view of Barral et al US 2020/0302600(hereinafter Barral). Regarding claim7, Jaggers teaches all the limitations of claim1 above but does not teach and Barral teaches the instructions further include: segmenting the selected historical service call video into one or more subsections ([[0052], dividing video into segments); and receiving an input indicative of fast-forwarding or rewinding to a different subsection of the selected historical service call video([0022], [0057],fast-forwarding the segment while watching it). It would have been obvious to a person having ordinary skill in the art before the effective filing date of the claimed invention to divide video in to segment as in Barral such that the viewer be able to fast-forward or skip portion of the video efficiently. Claim16 is rejected for similar reason as discussed in claim7 above. Claims 9, 18 are rejected under 35 U.S.C. 103 as being unpatentable over Jaggers as applied to claims 1-6, 8, 10, 12-15,17, 20 above, and further in view of Thorley et al US 2019/0272362(hereinafter Thorley). Regarding claim9, Jaggers teaches all the limitations of claim1 above but does not teach and Thorley teaches the instructions further include: providing, on the display device, a summary of the current service call ([0017], the glasses 110 can act as a display of information to the technician or as an input device. The information displayed can include the check list of a multi-point inspection, repair procedures, instructions, component diagrams, manuals, warranty information, multimedia (e.g. video), augmenting items and the like, [0033], the service ecosystem provide updates (summary of current) in real time in the event that the service is behind or even ahead of schedule). It would have been obvious to a person having ordinary skill in the art before the effective filing date of the claimed invention to provide an update of service is performed in real time as in Thorley in order to help the technician/service provider keep track of his/her progress effectively. Claim18 is rejected for similar reason as discussed in claim9 above. Allowable Subject Matter Claims11, 19 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Any inquiry concerning this communication or earlier communications from the examiner should be directed to GIRUMSEW WENDMAGEGN whose telephone number is (571)270-1118. The examiner can normally be reached 9:00-7:00 PM. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Thai Tran can be reached at (571) 272-7382. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. GIRUMSEW WENDMAGEGN Primary Examiner Art Unit 2484 /GIRUMSEW WENDMAGEGN/ Primary Examiner, Art Unit 2484
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Prosecution Timeline

Sep 19, 2024
Application Filed
Feb 21, 2026
Non-Final Rejection — §102, §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
77%
Grant Probability
98%
With Interview (+21.4%)
2y 11m
Median Time to Grant
Low
PTA Risk
Based on 968 resolved cases by this examiner. Grant probability derived from career allow rate.

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