Jonathan A. Tangsrivimol

Papers

Total Citations

H-Index

About

Dr. Jonathan A. Tangsrivimol is a pioneering researcher at the intersection of artificial intelligence and surgical practice, with a primary focus on AI-driven surgical analytics and human-machine interaction in the operating room. His most impactful contribution to date is the highly-cited systematic literature review, "Artificial intelligence integration in surgery through hand and instrument tracking" (2025, 23 citations), which provides a comprehensive analysis of how AI algorithms are revolutionizing surgical workflows through precise hand and instrument tracking. This seminal work has become a foundational reference for researchers exploring the integration of computer vision and machine learning in surgical settings. Dr. Tangsrivimol's research addresses critical challenges in modern surgery, including improving surgical precision, reducing human error, and enabling real-time feedback systems. His work has significant implications for the development of autonomous surgical systems and augmented reality-assisted procedures. By systematically categorizing and evaluating various AI approaches for surgical tracking, he has established a crucial framework that guides both current implementations and future innovations in this rapidly evolving field.