Papers
2
Total Citations
10
H-Index
2
About
Prabin Thapa is a pioneering researcher at the intersection of artificial intelligence and surgical oncology, with a primary focus on leveraging machine learning to improve preoperative risk assessment and intraoperative safety. His most impactful work applies a validated AI algorithm to automatically extract body composition metrics—specifically muscle and adipose tissue areas—from routine preoperative CT scans. In a landmark 2024 study, Thapa demonstrated that these AI-derived measures are significantly associated with 90-day complications following radical cystectomy, offering a novel, data-driven tool for patient counseling and surgical planning. This work, already garnering 8 citations, positions him at the forefront of personalized, AI-enhanced surgical care. Beyond oncology, Thapa has explored the feasibility of telementoring as an intraoperative “time-out” tool during laparoscopic cholecystectomy, aiming to prevent devastating biliovascular injuries by enabling real-time remote expert consultation. His research bridges the gap between cutting-edge computational methods and tangible improvements in surgical outcomes, establishing him as a key voice in the future of technology-driven surgery.
Research Focus
Key Achievements
Top Papers
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