This quality improvement study evaluates the use of a video-based artificial intelligence framework that uses multi-instrument tracking and clinically informed spatiotemporal kinematic features to provide objective, granular assessment of laparoscopic cholecystectomy skill.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Robotic vs Laparoscopic Approach for Complex Elective Cholecystectomy | 0 | 5.8 | 01-09-2026 |
| 2 | Indocyanine Green Fluorescent Cholangiography and Bile Duct Injury | 0 | 7.16 | 01-09-2026 |
| 3 | Laparoscopic Deskilling | 0 | 8.16 | 01-09-2026 |
| 4 | Enhanced Visualization and Laparoscopic Cholecystectomy | 0 | 8.85 | 01-09-2026 |
| 5 | Value of Robotic Platforms for Cholecystectomy | 0 | 7.47 | 01-09-2026 |
| 6 | Operative Complexity and Surgical Episode Payments Among Private Payers | 0 | 6.63 | 01-09-2026 |
| 7 | Patient-specific AI technique could make minimally invasive surgeries safer and more precise | 0 | 9.67 | 16-09-2026 |
| 8 | Augmented Reality Thoracic Surgery and the Patient Experience | 0 | 9.4 | 01-09-2026 |
| 9 | Smartphone-Based Evaluation of Blepharoptosis | 0 | 15.31 | 24-09-2026 |
| 10 | Pediatric Opioid Prescribing at Discharge by Surgical Subspecialty | 0 | 7.2 | 01-09-2026 |