Atsushi Morito

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About

Atsushi Morito is a pioneering researcher in the field of robotic surgery, with a primary focus on advancing artificial intelligence (AI) applications for gastrointestinal oncology. His most notable contribution is the landmark multicenter retrospective study "Assessment of AI-driven anatomical recognition in robotic gastrectomy" (2025), which has garnered early attention with 1 citation. This work represents a critical step toward integrating machine learning into complex surgical procedures, specifically enhancing anatomical landmark identification during robotic gastrectomy—a technique vital for treating gastric cancer. Morito’s research bridges the gap between computational algorithms and clinical practice, aiming to improve surgical precision, reduce operative errors, and standardize outcomes across institutions. By leveraging large-scale retrospective data, he has demonstrated the feasibility of AI-assisted real-time decision support in the operating room. His efforts are particularly impactful for trainees and surgeons seeking to adopt robotic platforms, as his findings offer a data-driven foundation for safer, more efficient surgeries. As the field of AI in surgery rapidly evolves, Morito’s work positions him at the forefront of translating theoretical models into tangible patient care improvements, with potential to reshape training protocols and surgical workflows globally.