講演情報
[ESY3-1]AI Surgical Navigation and Research Infrastructur
Tomonori Akagi, Masafumi Inomata (Department of Gastroenterological and Pediatric Surgery, Oita University Faculty of Medicine)
The Department of Gastroenterological and Pediatric Surgery at Oita University School of Medicine is actively promoting the use of AI to support minimally invasive surgery and develop next-generation medical professionals. Through industry-academia collaboration with the Fukuoka Institute of Technology and a private company, we jointly developed an AI navigation system that applies deep learning to laparoscopic surgery footage to automatically identify and display important anatomical landmarks. Clinical validation was successfully completed in 2018. With support from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), we also built a database integrating surgical footage and clinical data. We provide a comprehensive research and education system that combines AI and data science, and have published a variety of research results, including automatic detection of bleeding sites and recognition of inflammation sites in cholecystitis. We are also expanding this system to gastric and colorectal cancer surgery. The department actively encourages young physicians to present and publish their research, with the hope of applying their findings to practical applications. This initiative is positioned as a model case for improving surgical safety and promoting digital transformation (DX) in medicine. At this cession, I will report on the department's AI-related efforts.