Technology areas: Communications • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Quantum Surgical operates in the Medical Devices & Mechanical Engineering technology area with 1 pending office action. This matter is handled by AKAR, SERKAN, who serves as the busiest examiner for the portfolio. Prosecution is localized within 1 distinct art unit and involves 1 distinct examiner.
This concentrated activity suggests a specific technical focus for the current pending matter. Practitioners should focus their strategy on the requirements of this individual examiner and the specific practices of the assigned art unit. The presence of only a single examiner and art unit indicates that the company's current prosecution efforts are highly targeted within the medical devices sector.
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 only | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| AKAR, SERKAN | 1 | 66.0% | +33.7% |
| KY, KEVIN | 1 | 77.4% | +25.2% |
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 |
|---|---|---|---|
| 17925755 | METHOD FOR DETERMINING AN ABLATION REGION BASED ON DEEP LEARNING | KY, KEVIN | 29d |
| 18880208 | MONITORING DEVICE FOR NAVIGATION-GUIDED MEDICAL INTERVENTIONS | AKAR, SERKAN | 34d |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17925755 | METHOD FOR DETERMINING AN ABLATION REGION BASED ON DEEP LEARNING | KY, KEVIN | 29d |
| 18880208 | MONITORING DEVICE FOR NAVIGATION-GUIDED MEDICAL INTERVENTIONS | AKAR, SERKAN | 34d |
| Art Unit | Apps |
|---|---|
| 3797 | 1 |
| 2671 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18880208 | MONITORING DEVICE FOR NAVIGATION-GUIDED MEDICAL INTERVENTIONS | AKAR, SERKAN | 3797 | §103§112 | Final Rejection | 34d | Pending | Dec 30, 2024 |
| 17925755 | METHOD FOR DETERMINING AN ABLATION REGION BASED ON DEEP LEARNING | KY, KEVIN | 2671 | §101 | Non-Final OA | 29d | Pending | Nov 16, 2022 |
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