Ayumi Taguchi

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About

Ayumi Taguchi is a pioneering researcher at the intersection of artificial intelligence and minimally invasive surgery, with a primary focus on advancing surgical systems through deep learning. Her most-cited work, "Evolution of a surgical system using deep learning in minimally invasive surgery" (2023), has already garnered 15 citations, reflecting its timely and transformative impact. In this seminal review, Taguchi systematically analyzes how deep learning—enabled by breakthroughs in computational processing and novel learning methods—is revolutionizing surgical practice. She explores AI applications in medical image recognition and omics analysis, demonstrating how these technologies enhance precision, safety, and efficiency in the operating room. Taguchi’s contributions are particularly notable for bridging the gap between cutting-edge computational methods and real-world clinical applications, offering a roadmap for integrating AI into surgical workflows. Her work not only surveys current innovations but also identifies critical challenges and future directions, making it an essential resource for researchers and clinicians alike. Through her rigorous analysis and forward-looking perspective, Taguchi is shaping the next generation of intelligent surgical systems, positioning herself as a leading voice in the rapidly evolving field of AI-driven medicine.