Yoshihito Sato

Papers

Total Citations

H-Index

About

Dr. Yoshihito Sato is a pioneering surgeon at the forefront of integrating artificial intelligence into minimally invasive esophageal surgery. His primary research focuses on the application of AI models to enhance surgical precision and patient safety, particularly in complex oncologic procedures. Dr. Sato’s most notable contribution is the development of an AI system capable of recognizing the recurrent laryngeal nerve during robot-assisted minimally invasive esophagectomy—a critical structure whose injury can lead to devastating vocal cord paralysis. His landmark 2024 study, which has already garnered 23 citations, demonstrated that this deep learning model significantly improves nerve identification accuracy, reducing the risk of iatrogenic damage. This work represents a major step toward autonomous surgical assistance, blending computer vision with real-time intraoperative decision-making. By translating AI-driven insights into clinical practice, Dr. Sato is helping to set new standards for safety in esophagectomy, a procedure with historically high complication rates. His ongoing research continues to explore how machine learning can augment the surgeon’s capabilities, making complex operations more reproducible and less dependent on individual expertise. For students and researchers, Dr. Sato’s work exemplifies the transformative potential of AI in surgery, bridging the gap between technological innovation and tangible patient outcomes.