Technology area: Medical Devices & Mechanical Engineering
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Deep Breathe Inc. is navigating 2 pending office actions in the Medical Devices & Mechanical Engineering technology area. These actions are distributed between 2 distinct examiners but are both located within 1 distinct art unit. This indicates a concentrated technical focus despite the involvement of multiple examiners, as all current matters are being processed by the same administrative division. The presence of 2 pending office actions suggests a targeted approach to securing intellectual property in the medical device sector.
The busiest examiner, SALEH, ZAID MUHAMMAD, is responsible for 1 busiest examiner pending action. With a total of 2 pending office actions, the workload is split between SALEH, ZAID MUHAMMAD and the other distinct examiner. Each examiner is managing 1 action within the 1 distinct art unit. For practitioners, this distribution means that while the technical guidelines of the art unit remain constant, the prosecution must be tailored to the individual tendencies of 2 distinct examiners. This structure provides a small degree of examiner diversity while maintaining a unified technical context for the company's 2 pending office actions.
Based on the USPTO statutory response window for each pending office action. 1 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 (33%) |
| §101 + other | 1 (33%) |
| Multi-statute (no §101) | 1 (33%) |
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 |
|---|---|---|---|
| MATTSON, SEAN D | 1 | 67.2% | +42.2% |
| SALEH, ZAID MUHAMMAD | 1 | 65.0% | +46.7% |
| BYKHOVSKI, ALEXEI | 1 | 77.2% | +25.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18099206 | LUNG ULTRASOUND PROCESSING SYSTEMS AND METHODS | BYKHOVSKI, ALEXEI | 79d overdue |
| 19457885 | COMPUTING SYSTEMS AND METHODS FOR AUTOMATICALLY PROCESSING TORSO ULTRASOUND | MATTSON, SEAN D | — |
| 18898219 | SYSTEMS AND METHODS FOR DETECTING LUNG POINT | SALEH, ZAID MUHAMMAD | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18099206 | LUNG ULTRASOUND PROCESSING SYSTEMS AND METHODS | BYKHOVSKI, ALEXEI | 79d overdue |
| 19457885 | COMPUTING SYSTEMS AND METHODS FOR AUTOMATICALLY PROCESSING TORSO ULTRASOUND | MATTSON, SEAN D | — |
| 18898219 | SYSTEMS AND METHODS FOR DETECTING LUNG POINT | SALEH, ZAID MUHAMMAD | — |
| Art Unit | Apps |
|---|---|
| 3798 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19457885 | COMPUTING SYSTEMS AND METHODS FOR AUTOMATICALLY PROCESSING TORSO ULTRASOUND | MATTSON, SEAN D | 3798 | §101§103 | Final Rejection | — | Pending | Jan 23, 2026 |
| 18898219 | SYSTEMS AND METHODS FOR DETECTING LUNG POINT | SALEH, ZAID MUHAMMAD | — | §102§103 | Non-Final OA | — | Pending | Sep 26, 2024 |
| 18099206 | LUNG ULTRASOUND PROCESSING SYSTEMS AND METHODS | BYKHOVSKI, ALEXEI | 3798 | §101 | Non-Final OA | 79d overdue | Pending | Jan 19, 2023 |
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