A5103215081- Surgical Simulation and Training
- Hepatocellular Carcinoma Treatment and Prognosis
- Gallbladder and Bile Duct Disorders
- Diversity and Career in Medicine
- Radiomics and Machine Learning in Medical Imaging
- Anatomy and Medical Technology
- Cardiac, Anesthesia and Surgical Outcomes
- Gastric Cancer Management and Outcomes
- Innovations in Medical Education
- Soft Robotics and Applications
- Appendicitis Diagnosis and Management
- Health and Medical Research Impacts
- Congenital Anomalies and Fetal Surgery
- Oral and Maxillofacial Pathology
- Head and Neck Surgical Oncology
- Kidney Stones and Urolithiasis Treatments
- Pediatric Hepatobiliary Diseases and Treatments
- Renal and Vascular Pathologies
- Intestinal Malrotation and Obstruction Disorders
- MRI in cancer diagnosis
- Pneumothorax, Barotrauma, Emphysema
- Ear and Head Tumors
- Delphi Technique in Research
- Abdominal Trauma and Injuries
- Colorectal Cancer Screening and Detection
University of California, San Francisco
2021-2025
Johnson & Johnson (United States)
2024
Memorial Sloan Kettering Cancer Center
2018
The study aim was to develop and validate models predict clinically significant posthepatectomy liver failure (PHLF) serious complications [a Comprehensive Complication Index (CCI)>40] using preoperative intraoperative variables.
Abstract There are numerous barriers in robotic surgical training, including reliance on observational learning, low-quality feedback, and inconsistent assessment. Artificial intelligence (AI) offers potential solutions to these central problems education may allow for more efficient efficacious training. Three key areas which AI has particular relevance video labeling, Video labeling refers the automated designation of prespecified categories operative videos. Numerous prior studies have...
Objective: This study aimed to (1) develop a machine learning (ML) model that predicts the textbook outcome in liver surgery (TOLS) using preoperative variables and (2) validate TOLS criteria by determining whether is associated with long-term survival after hepatectomy. Background: Textbook composite measure combines several favorable outcomes into single metric represents optimal postoperative course. Recently, an expert panel of surgeons proposed Delphi consensus-based definition TOLS....
Abstract Background Many surgeons use online videos to learn. However, these vary in content, quality, and educational value. In the setting of recent work questioning safety robotic-assisted cholecystectomies, we aimed (1) identify highly watched (2) determine whether demonstrate suboptimal techniques, (3) compare based on platform. Methods Two authors searched YouTube a members-only Facebook group cholecystectomies. Three members Society American Gastrointestinal Endoscopic Surgeons Safe...
This study aims to appraise recommendations from an expert panel of surgical educators on optimizing education and training in the setting contemporary challenges.
Abstract Purpose Although EPA assessment tools generally allow for narrative feedback, limited data exist defining characteristics and predictors of such feedback. We explored feedback their associations with entrustment, case-specific variables, faculty/trainee characteristics. Methods Our general surgery residency piloted an intraoperative Entrustable Professional Activities (EPA) tool in 2022. The included entrustment score, four sub-scores, Given strong intercorrelations ( r = 0.45–0.69)...
Spontaneous pneumoperitoneum in a patient with tracheostomy tube following cardiopulmonary resuscitation is exceedingly rare, little experimental nor observational data to guide evidence-based management. We present the case of 75-year-old woman who developed CPR. The experienced pulseless electrical activity arrest requiring nine rounds chest compressions return spontaneous circulation. Computerized tomography demonstrated pneumothoraces, subcutaneous emphysema and extensive...