Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
11 pending office actions • 8 art units • 10 examiners • 0 of 11 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Medical AI Co. Ltd. has 12 pending office actions in Medical Devices & Mechanical Engineering. Those matters are distributed across 11 distinct examiners and 9 distinct art units, indicating that prosecution is spread across both examiner and technology-group assignments rather than concentrated in a single examination channel.
SAHAND, SANA is the busiest examiner, with 2 pending matters. The limited concentration at that examiner, relative to the overall portfolio, means counsel may need a portfolio-level review of recurring issues while preserving matter-specific strategies for the broader examiner and art-unit set.
Based on the USPTO statutory response window for each pending office action. 4 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 4 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 2 (18%) |
| §101 + other | 7 (64%) |
| §103 only | 1 (9%) |
| Multi-statute (no §101) | 1 (9%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| SAHAND, SANA | 2 | 63.5% | +24.0% |
| WEHRHEIM, LINDSEY GAIL | 1 | 78.9% | +19.5% |
| FURTADO, WINSTON RAHUL | 1 | 18.9% | +22.9% |
| NEWTON, CHAD A | 1 | 38.4% | +23.4% |
| WALKER, OLIVIA | 1 | 35.7% | +75.0% |
| EDOUARD, JONATHAN CHRISTOPHER | 1 | 23.7% | +39.0% |
| D ABREU, MICHAEL JOSEPH | 1 | 67.7% | +21.7% |
| CHRISTIANSON, SKYLAR LINDSEY | 1 | 60.9% | +25.4% |
| NGANGA, BONIFACE N | 1 | 64.3% | +28.7% |
| SIOZOPOULOS, CONSTANTINE B | 1 | 57.5% | +39.6% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18683318 | ELECTROCARDIOGRAM READING SYSTEM IN WHICH DEEP LEARNING-BASED MODEL AND RULE-BASED MODEL ARE INTEGRATED | NGANGA, BONIFACE N | 85d overdue |
| 18693186 | METHOD, PROGRAM AND DEVICE FOR CORRECTING ERROR OF ELECTROCARDIOGRAM SIGNAL | D ABREU, MICHAEL JOSEPH | 32d overdue |
| 18993031 | METHOD, PROGRAM AND DEVICE FOR DIAGNOSING MYOCARDIAL INFARCTION USING ELECTROCARDIOGRAM | NEWTON, CHAD A | 15d overdue |
| 18692339 | METHOD, PROGRAM, AND DEVICE FOR DIAGNOSING LEFT VENTRICULAR SYSTOLIC DYSFUNCTION ON BASIS OF ELECTROCARDIOGRAM | CHRISTIANSON, SKYLAR LINDSEY | 15d overdue |
| 18998043 | METHOD FOR MEASURING REAL-TIME VALUES AND MANAGEMENT OF BLOOD SUGAR ON BASIS OF ELECTROCARDIOGRAM, AND COMPUTER PROGRAM RECORDED ON RECORDING MEDIUM IN ORDER TO EXECUTE SAME | SAHAND, SANA | — |
| 18996125 | METHOD, COMPUTER PROGRAM, AND APPARATUS FOR AUGMENTING BIO-SIGNAL DATA | FURTADO, WINSTON RAHUL | — |
| 18992960 | METHOD, PROGRAM, AND APPARATUS FOR PREDICTING HEALTH STATE USING ELECTROCARDIOGRAM SEGMENTS | WALKER, OLIVIA | — |
| 18992669 | METHOD, PROGRAM, AND DEVICE FOR GENERATING LONG-TERM HEART RATE VARIABILITY ON BASIS OF SHORT-TERM MEASUREMENT SIGNALS | SAHAND, SANA | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18683318 | ELECTROCARDIOGRAM READING SYSTEM IN WHICH DEEP LEARNING-BASED MODEL AND RULE-BASED MODEL ARE INTEGRATED | NGANGA, BONIFACE N | 85d overdue |
| 18693186 | METHOD, PROGRAM AND DEVICE FOR CORRECTING ERROR OF ELECTROCARDIOGRAM SIGNAL | D ABREU, MICHAEL JOSEPH | 32d overdue |
| 18993031 | METHOD, PROGRAM AND DEVICE FOR DIAGNOSING MYOCARDIAL INFARCTION USING ELECTROCARDIOGRAM | NEWTON, CHAD A | 15d overdue |
| 18692339 | METHOD, PROGRAM, AND DEVICE FOR DIAGNOSING LEFT VENTRICULAR SYSTOLIC DYSFUNCTION ON BASIS OF ELECTROCARDIOGRAM | CHRISTIANSON, SKYLAR LINDSEY | 15d overdue |
| 18998043 | METHOD FOR MEASURING REAL-TIME VALUES AND MANAGEMENT OF BLOOD SUGAR ON BASIS OF ELECTROCARDIOGRAM, AND COMPUTER PROGRAM RECORDED ON RECORDING MEDIUM IN ORDER TO EXECUTE SAME | SAHAND, SANA | — |
| 18997684 | ELECTROCARDIOGRAM-BASED METHOD FOR RECOMMENDING MENU, AND COMPUTER PROGRAM RECORDED ON RECORDING MEDIUM IN ORDER TO EXECUTE SAME | WEHRHEIM, LINDSEY GAIL | — |
| 18996125 | METHOD, COMPUTER PROGRAM, AND APPARATUS FOR AUGMENTING BIO-SIGNAL DATA | FURTADO, WINSTON RAHUL | — |
| 18992960 | METHOD, PROGRAM, AND APPARATUS FOR PREDICTING HEALTH STATE USING ELECTROCARDIOGRAM SEGMENTS | WALKER, OLIVIA | — |
| Art Unit | Apps |
|---|---|
| 3796 | 4 |
| 3799 | 1 |
| 3687 | 1 |
| 3681 | 1 |
| 3683 | 1 |
| 3792 | 1 |
| 3797 | 1 |
| 3686 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18998043 | METHOD FOR MEASURING REAL-TIME VALUES AND MANAGEMENT OF BLOOD SUGAR ON BASIS OF ELECTROCARDIOGRAM, AND COMPUTER PROGRAM RECORDED ON RECORDING MEDIUM IN ORDER TO EXECUTE SAME | SAHAND, SANA | 3796 | §101§103§112 | Non-Final OA | — | Pending | Jan 23, 2025 |
| 18997684 | ELECTROCARDIOGRAM-BASED METHOD FOR RECOMMENDING MENU, AND COMPUTER PROGRAM RECORDED ON RECORDING MEDIUM IN ORDER TO EXECUTE SAME | WEHRHEIM, LINDSEY GAIL | 3799 | §103 | Non-Final OA | — | Pending | Jan 22, 2025 |
| 18996125 | METHOD, COMPUTER PROGRAM, AND APPARATUS FOR AUGMENTING BIO-SIGNAL DATA | FURTADO, WINSTON RAHUL | 3687 | §101§103 | Non-Final OA | — | Pending | Jan 17, 2025 |
| 18993031 | METHOD, PROGRAM AND DEVICE FOR DIAGNOSING MYOCARDIAL INFARCTION USING ELECTROCARDIOGRAM | NEWTON, CHAD A | 3681 | §101§102§103 | Final Rejection | 15d overdue | Pending | Jan 10, 2025 |
| 18992960 | METHOD, PROGRAM, AND APPARATUS FOR PREDICTING HEALTH STATE USING ELECTROCARDIOGRAM SEGMENTS | WALKER, OLIVIA | 3796 | §101§102§103 | Non-Final OA | — | Pending | Jan 09, 2025 |
| 18992669 | METHOD, PROGRAM, AND DEVICE FOR GENERATING LONG-TERM HEART RATE VARIABILITY ON BASIS OF SHORT-TERM MEASUREMENT SIGNALS | SAHAND, SANA | 3796 | §101§103§112 | Non-Final OA | — | Pending | Jan 09, 2025 |
| 18693620 | Medical data analysis method based on explainable artificial intelligence, program, and device | EDOUARD, JONATHAN CHRISTOPHER | 3683 | §101 | Non-Final OA | — | Pending | Mar 20, 2024 |
| 18693186 | METHOD, PROGRAM AND DEVICE FOR CORRECTING ERROR OF ELECTROCARDIOGRAM SIGNAL | D ABREU, MICHAEL JOSEPH | 3796 | §101§102 | Non-Final OA | 32d overdue | Pending | Mar 19, 2024 |
| 18692339 | METHOD, PROGRAM, AND DEVICE FOR DIAGNOSING LEFT VENTRICULAR SYSTOLIC DYSFUNCTION ON BASIS OF ELECTROCARDIOGRAM | CHRISTIANSON, SKYLAR LINDSEY | 3792 | §101§103 | Final Rejection | 15d overdue | Pending | Mar 15, 2024 |
| 18683318 | ELECTROCARDIOGRAM READING SYSTEM IN WHICH DEEP LEARNING-BASED MODEL AND RULE-BASED MODEL ARE INTEGRATED | NGANGA, BONIFACE N | 3797 | §102§103§112 | Final Rejection | 85d overdue | Pending | Feb 13, 2024 |
| 18005385 | APPARATUS AND METHOD FOR GENERATING ELECTROCARDIOGRAM BASED ON GENERATIVE ADVERSARIAL NETWORK ALGORITHM | SIOZOPOULOS, CONSTANTINE B | 3686 | §101 | Non-Final OA | — | Pending | Jan 13, 2023 |
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Start Free TrialMedical AI Co. Ltd. has 11 pending office actions as of October 2026, spread across 8 art units and 10 examiners.
Sana Sahand has the most, with 2 of Medical AI Co. Ltd.'s pending office actions.
Mostly Medical Devices & Mechanical Engineering (USPTO Tech Center 3700), based on where its pending office actions are examined.
