Prosecution Insights
Prosecution Insights
6 pending office actions • 3 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 13 patents granted in the last 365 days
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 | 1 (17%) |
| §103 only | 2 (33%) |
| §102 only | 1 (17%) |
| Double-patenting + other | 1 (17%) |
| Multi-statute (no §101) | 1 (17%) |
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 |
|---|---|---|---|
| TOMASZEWSKI, MICHAEL | 1 | 48.1% | +22.5% |
| LUONG, PETER | 1 | 69.0% | +27.0% |
| ALDARRAJI, ZAINAB MOHAMMED | 1 | 66.7% | +18.7% |
| ASGHAR, AMINAH | 1 | 61.9% | +45.8% |
| KOZIOL, STEPHEN R | 1 | 77.5% | +25.3% |
| COCHRAN, BRIANNA RENAE | 1 | 50.0% | +57.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18717154 | DETERMINING PHYSICALLY CORRECT DIGITALLY RECONSTRUCTED RADIOGRAPHS | ALDARRAJI, ZAINAB MOHAMMED | — |
| 18527723 | Tracking a Part of a Surface of a Patient's Body Using Thermographic Images | ASGHAR, AMINAH | — |
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 |
|---|---|---|---|
| 19050592 | METHOD FOR REGISTERING A VIRTUAL REPRESENTATION OF A PATIENT ANATOMY WITH A COORDINATE SYSTEM OF A PHYSICAL PATIENT ANATOMY | TOMASZEWSKI, MICHAEL | — |
| 18903165 | DETERMINING A CONSENSUS PLANE FOR IMAGING A MEDICAL DEVICE | LUONG, PETER | — |
| 18717154 | DETERMINING PHYSICALLY CORRECT DIGITALLY RECONSTRUCTED RADIOGRAPHS | ALDARRAJI, ZAINAB MOHAMMED | — |
| 18527723 | Tracking a Part of a Surface of a Patient's Body Using Thermographic Images | ASGHAR, AMINAH | — |
| 18566265 | METHOD FOR TRAINING AND USING A DEEP LEARNING ALGORITHM TO COMPARE MEDICAL IMAGES BASED ON DIMENSIONALITY-REDUCED REPRESENTATIONS | KOZIOL, STEPHEN R | — |
| 18559744 | ANALYSIS AND AUGMENTATION OF DISPLAY DATA | COCHRAN, BRIANNA RENAE | — |
| Art Unit | Apps |
|---|---|
| 3797 | 2 |
| 2665 | 1 |
| 2615 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19050592 | METHOD FOR REGISTERING A VIRTUAL REPRESENTATION OF A PATIENT ANATOMY WITH A COORDINATE SYSTEM OF A PHYSICAL PATIENT ANATOMY | TOMASZEWSKI, MICHAEL | — | §103DP | Non-Final OA | — | Pending | Feb 11, 2025 |
| 18903165 | DETERMINING A CONSENSUS PLANE FOR IMAGING A MEDICAL DEVICE | LUONG, PETER | 3797 | §102 | Non-Final OA | — | Pending | Oct 01, 2024 |
| 18717154 | DETERMINING PHYSICALLY CORRECT DIGITALLY RECONSTRUCTED RADIOGRAPHS | ALDARRAJI, ZAINAB MOHAMMED | — | §101§102§103§112 | Non-Final OA | — | Pending | Jun 06, 2024 |
| 18527723 | Tracking a Part of a Surface of a Patient's Body Using Thermographic Images | ASGHAR, AMINAH | 3797 | §103§112 | Final Rejection | — | Pending | Dec 04, 2023 |
| 18566265 | METHOD FOR TRAINING AND USING A DEEP LEARNING ALGORITHM TO COMPARE MEDICAL IMAGES BASED ON DIMENSIONALITY-REDUCED REPRESENTATIONS | KOZIOL, STEPHEN R | 2665 | §103 | Non-Final OA | — | Pending | Dec 01, 2023 |
| 18559744 | ANALYSIS AND AUGMENTATION OF DISPLAY DATA | COCHRAN, BRIANNA RENAE | 2615 | §103 | Non-Final OA | — | Pending | Nov 08, 2023 |
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