Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 3 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Digital Diagnostics Inc. has 6 pending office actions within the Communications technology area. These actions are handled by 6 distinct examiners and 2 distinct art units. The busiest examiner is CHAN, CAROL WANG, who has 1 pending office action. With 6 distinct examiners for 6 actions, the portfolio is widely distributed, ensuring that each application is reviewed by a different official.
The 2 distinct art units indicate that while the examiners are different, they are concentrated within a limited number of technical divisions. This balance between 6 distinct examiners and 2 distinct art units suggests that the company's communications technology filings fall into two primary specialized categories. Managing 6 pending office actions in this manner requires consistent messaging across the 2 distinct art units involved to ensure a cohesive prosecution strategy.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 + other | 3 (43%) |
| §103 only | 1 (14%) |
| §112 only | 1 (14%) |
| Double-patenting only | 1 (14%) |
| Multi-statute (no §101) | 1 (14%) |
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 |
|---|---|---|---|
| CHAN, CAROL WANG | 1 | 84.0% | +34.6% |
| KY, KEVIN | 1 | 77.4% | +25.2% |
| KOLOSOWSKI-GAGER, KATHERINE | 1 | 26.6% | +31.1% |
| ISLAM, PROMOTTO TAJRIAN | 1 | 77.4% | +13.8% |
| PINKNEY, DAWAYNE | 1 | 80.7% | +17.9% |
| MAHROUKA, WASSIM | 1 | 86.1% | +7.9% |
| THIRUGNANAM, GANDHI | 1 | 73.4% | +13.3% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19040642 | System and Methods for Qualifying Medical Images | CHAN, CAROL WANG | — |
| 18948328 | USING INFRARED TO DETECT PROPER EYE ALIGNMENT BEFORE CAPTURING RETINAL IMAGES | PINKNEY, DAWAYNE | — |
| 18936893 | Monitoring Surface Cleaning of Medical Surfaces Using Video Streaming | MAHROUKA, WASSIM | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18976114 | Systems for Detecting and Identifying Coincident Conditions | KOLOSOWSKI-GAGER, KATHERINE | 71d overdue |
| 18367384 | AUTONOMOUS DIAGNOSIS OF A DISORDER IN A PATIENT FROM IMAGE ANALYSIS | THIRUGNANAM, GANDHI | 9d |
| 19033378 | ARTIFICIAL INTELLIGENCE ENABLED SUB-CLASSIFICATIONS OF DISEASE STATES | KY, KEVIN | — |
| 18955627 | EXPLAINABILITY HEAT MAP FOR AUTONOMOUS DIAGNOSTICS BASED ON HIGH RESOLUTION MEDICAL IMAGE PROCESSING USING VISION TRANSFORMER | ISLAM, PROMOTTO TAJRIAN | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18976114 | Systems for Detecting and Identifying Coincident Conditions | KOLOSOWSKI-GAGER, KATHERINE | 71d overdue |
| 18367384 | AUTONOMOUS DIAGNOSIS OF A DISORDER IN A PATIENT FROM IMAGE ANALYSIS | THIRUGNANAM, GANDHI | 9d |
| 19040642 | System and Methods for Qualifying Medical Images | CHAN, CAROL WANG | — |
| 19033378 | ARTIFICIAL INTELLIGENCE ENABLED SUB-CLASSIFICATIONS OF DISEASE STATES | KY, KEVIN | — |
| 18955627 | EXPLAINABILITY HEAT MAP FOR AUTONOMOUS DIAGNOSTICS BASED ON HIGH RESOLUTION MEDICAL IMAGE PROCESSING USING VISION TRANSFORMER | ISLAM, PROMOTTO TAJRIAN | — |
| 18948328 | USING INFRARED TO DETECT PROPER EYE ALIGNMENT BEFORE CAPTURING RETINAL IMAGES | PINKNEY, DAWAYNE | — |
| Art Unit | Apps |
|---|---|
| 3687 | 1 |
| 2669 | 1 |
| 2672 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19040642 | System and Methods for Qualifying Medical Images | CHAN, CAROL WANG | — | §112Other | Non-Final OA | — | Pending | Jan 29, 2025 |
| 19033378 | ARTIFICIAL INTELLIGENCE ENABLED SUB-CLASSIFICATIONS OF DISEASE STATES | KY, KEVIN | — | §101§103 | Non-Final OA | — | Pending | Jan 21, 2025 |
| 18976114 | Systems for Detecting and Identifying Coincident Conditions | KOLOSOWSKI-GAGER, KATHERINE | 3687 | §101§102Other | Final Rejection | 71d overdue | Pending | Dec 10, 2024 |
| 18955627 | EXPLAINABILITY HEAT MAP FOR AUTONOMOUS DIAGNOSTICS BASED ON HIGH RESOLUTION MEDICAL IMAGE PROCESSING USING VISION TRANSFORMER | ISLAM, PROMOTTO TAJRIAN | 2669 | §101§102 | Non-Final OA | — | Pending | Nov 21, 2024 |
| 18948328 | USING INFRARED TO DETECT PROPER EYE ALIGNMENT BEFORE CAPTURING RETINAL IMAGES | PINKNEY, DAWAYNE | — | §103Other | Non-Final OA | — | Pending | Nov 14, 2024 |
| 18936893 | Monitoring Surface Cleaning of Medical Surfaces Using Video Streaming | MAHROUKA, WASSIM | — | DP | Non-Final OA | — | Pending | Nov 04, 2024 |
| 18367384 | AUTONOMOUS DIAGNOSIS OF A DISORDER IN A PATIENT FROM IMAGE ANALYSIS | THIRUGNANAM, GANDHI | 2672 | §103§112 | Final Rejection | 9d | Pending | Sep 12, 2023 |
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