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About

Dr. Kensaku Mori is a leading researcher at the intersection of artificial intelligence, robotic surgery, and computer vision, with a primary focus on enhancing the safety and precision of minimally invasive procedures. His work centers on developing self-supervised depth estimation techniques for laparoscopic images, a critical capability for robotic surgical navigation and augmented reality systems. Dr. Mori has pioneered methods that overcome the lack of ground-truth depth data in surgical environments, introducing novel frameworks such as dual-task consistency, context encoder guidance, and spatial bias correction to improve monocular and stereo depth perception. His most cited work, a 2021 Delphi consensus statement on the ethical implications of AI in robotic surgical training (70 citations), demonstrates his leadership in shaping responsible AI integration in surgery. Beyond depth estimation, Dr. Mori has also contributed to deep learning-based anatomical recognition, specifically for seminal vesicle and vas deferens identification during robot-assisted prostatectomy. His research directly addresses real-world clinical challenges, aiming to make robotic surgery more autonomous, reliable, and accessible. With a growing body of work that bridges computer science and clinical practice, Dr. Mori is a key figure in the next generation of intelligent surgical systems.