Daichi Kitaguchi
Papers
5
Total Citations
149
H-Index
4
About
Daichi Kitaguchi is a pioneering surgeon-researcher at the forefront of integrating artificial intelligence into minimally invasive and robotic surgery. His work centers on developing deep learning models to enhance surgical precision, automate phase recognition, and objectively assess surgical skills. Kitaguchi’s most influential work, “Artificial intelligence‐based computer vision in surgery: Recent advances and future perspectives” (2021, 121 citations), provides a foundational framework for how AI can augment the operating room by analyzing instrument usage and procedural steps. He has made significant contributions to urologic oncology, notably creating a deep learning model that automatically recognizes the seminal vesicles and vas deferens during robot-assisted radical prostatectomy, and developing systems to evaluate surgical skill by analyzing dissection and exposure times. In a landmark achievement, Kitaguchi led the first-in-human robot-assisted laparoscopic sigmoid resection using the ANSUR surgical unit®, a newly formulated robotic system that serves as both first assistant and scopist, approved as a medical device in Japan in 2023. His work bridges the gap between cutting-edge AI and practical surgical application, promising to transform surgical training and patient outcomes.
Research Focus
Key Achievements
Top Papers
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