Keishiro Fukumoto
Papers
1
Total Citations
3
H-Index
1
About
Keishiro Fukumoto is a pioneering researcher at the intersection of artificial intelligence and robotic surgery, with a primary focus on surgical phase recognition and automation in urological oncology. His most notable contribution is the development of an AI-based system for real-time surgical phase recognition during robot-assisted radical prostatectomy, a breakthrough that enables objective assessment of surgical workflow and cross-surgeon validation. This work, published in 2025 and already garnering 3 citations, demonstrates his ability to translate complex machine learning models into clinically actionable tools that can standardize surgical training and improve patient outcomes. Fukumoto’s research addresses critical challenges in minimally invasive surgery, including the need for automated performance metrics and intraoperative decision support. By leveraging deep learning to analyze surgical video data, he has laid the groundwork for next-generation surgical assistants that can adapt to individual surgeon techniques. His achievements highlight a commitment to bridging the gap between computational methods and real-world surgical practice, making him a rising voice in the field of AI-driven medicine.
Research Focus
Key Achievements
Top Papers
- 1