Prosecution Insights
Prosecution Insights
6 pending office actions • 4 art units • 5 examiners • 0 of 6 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 |
|---|---|
| §103 only | 6 (100%) |
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 |
|---|---|---|---|
| ALFONSO, DENISE G | 2 | 73.4% | +16.8% |
| LY, TOMMY TAI | 1 | 80.3% | +22.9% |
| FUJITA, KATRINA R | 1 | 70.2% | +24.0% |
| YENTRAPATI, AVINASH | 1 | 74.7% | -4.8% |
| SARKAR, SHIVANGI | 1 | — | — |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18636423 | SYSTEMS AND METHODS FOR MULTI-CONTRAST MULTI-SCALE VISION TRANSFORMERS | LY, TOMMY TAI | 43d overdue |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18636423 | SYSTEMS AND METHODS FOR MULTI-CONTRAST MULTI-SCALE VISION TRANSFORMERS | LY, TOMMY TAI | 43d overdue |
| 18607814 | SYSTEMS AND METHODS FOR CONTRAST DOSE REDUCTION | ALFONSO, DENISE G | 26d overdue |
| 18607804 | ULTRA-HIGH RESOLUTION CT RECONSTRUCTION USING GRADIENT GUIDANCE | ALFONSO, DENISE G | 26d overdue |
| 18602468 | SYSTEMS AND METHODS FOR NOISE-AWARE SELF-SUPERVISED ENHANCEMENT OF IMAGES USING DEEP LEARNING | FUJITA, KATRINA R | 3d overdue |
| Art Unit | Apps |
|---|---|
| 2662 | 2 |
| 2672 | 2 |
| 3797 | 1 |
| 2666 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18636423 | SYSTEMS AND METHODS FOR MULTI-CONTRAST MULTI-SCALE VISION TRANSFORMERS | LY, TOMMY TAI | 3797 | §103 | Non-Final OA | 43d overdue | Pending | Apr 16, 2024 |
| 18607814 | SYSTEMS AND METHODS FOR CONTRAST DOSE REDUCTION | ALFONSO, DENISE G | 2662 | §103 | Non-Final OA | 26d overdue | Pending | Mar 18, 2024 |
| 18607804 | ULTRA-HIGH RESOLUTION CT RECONSTRUCTION USING GRADIENT GUIDANCE | ALFONSO, DENISE G | 2662 | §103 | Non-Final OA | 26d overdue | Pending | Mar 18, 2024 |
| 18602468 | SYSTEMS AND METHODS FOR NOISE-AWARE SELF-SUPERVISED ENHANCEMENT OF IMAGES USING DEEP LEARNING | FUJITA, KATRINA R | 2672 | §103 | Non-Final OA | 3d overdue | Pending | Mar 12, 2024 |
| 18602373 | SYSTEMS AND METHODS FOR AUTOMATED SPINE SEGMENTATION AND ASSESSMENT OF DEGENERATION USING DEEP LEARNING | YENTRAPATI, AVINASH | 2672 | §103 | Non-Final OA | 32d overdue | Pending | Mar 12, 2024 |
| 18508403 | SYSTEMS AND METHODS FOR ARBITRARY LEVEL CONTRAST DOSE SIMULATION IN MRI | SARKAR, SHIVANGI | 2666 | §103 | Non-Final OA | 49d overdue | Pending | Nov 14, 2023 |
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