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About

Dr. Yudai Hojo is a pioneering surgeon-researcher at the intersection of artificial intelligence and minimally invasive gastric surgery. His primary research areas include AI-driven surgical visualization, robotic gastrectomy techniques, and surgical anatomy education. Dr. Hojo’s most influential contribution is the development of a deep-learning model for automated segmentation of loose connective tissue fibers (LCTFs) during robot-assisted gastrectomy, a breakthrough that helps define safe dissection planes and support surgeons’ cognitive skills during complex procedures. This landmark 2021 paper has garnered 78 citations, reflecting its significant impact on surgical safety and AI integration. He further advanced the field with a 2024 study on semantic segmentation of the pancreas, providing real-time visual assistance to surgeons. Dr. Hojo has also demonstrated the potential advantages of robotic total gastrectomy for gastric cancer and pioneered the robot-assisted double-flap technique using a knifeless linear stapler for proximal gastrectomy reconstruction. Notably, his 2025 cluster randomized controlled trial on AI-based surgical anatomy education underscores his commitment to translating AI tools into training environments. Through his work, Dr. Hojo is shaping a future where artificial intelligence enhances both the surgeon’s hand and the learner’s eye.