Koichi Tomita

The University of Texas MD Anderson Cancer Center

Papers

Total Citations

H-Index

About

Dr. Koichi Tomita is a pioneering surgeon-scientist at the forefront of artificial intelligence in robotic hepatopancreatobiliary surgery. His research focuses on integrating machine learning with minimally invasive surgical techniques to enhance precision and safety in complex pancreatic procedures. Dr. Tomita’s most impactful contribution is the development of a novel AI model capable of real-time recognition of vascular anatomy during robotic pancreatoduodenectomy—a breakthrough that promises to reduce intraoperative complications and improve patient outcomes. This work, along with his detailed analysis of patient selection and surgical approach for robotic central pancreatectomy, has garnered early but significant attention (3 and 2 citations, respectively), reflecting its immediate relevance to the surgical community. His achievements represent a critical step toward autonomous surgical assistance, positioning him as a leader in the emerging field of AI-guided robotic surgery. Dr. Tomita’s research not only advances technical capabilities but also establishes a framework for safer, more reproducible complex pancreatic resections.