Yuta Matsukawa

Keio University

Papers

1

Total Citations

5

H-Index

1

About

Yuta Matsukawa is a pioneering surgeon-researcher at the forefront of integrating artificial intelligence into minimally invasive esophageal surgery. His work centers on enhancing surgical precision and patient safety, particularly through the application of AI to improve intraoperative decision-making. Matsukawa’s most cited study, “Impact of Artificial Intelligence on the Timing of Recurrent Laryngeal Nerve Recognition during Robot-Assisted Minimally Invasive Esophagectomy” (2025), has already garnered 5 citations, marking a significant early contribution to the field. In this work, he demonstrates how AI can optimize the critical moment of nerve identification, reducing the risk of recurrent laryngeal nerve palsy—a common and debilitating complication. By leveraging robotic platforms and machine learning, Matsukawa is helping to define a new standard for safer, more precise esophagectomies. His research bridges the gap between advanced technology and clinical practice, offering tangible improvements in surgical outcomes. As a rising voice in surgical innovation, Matsukawa’s work promises to reshape how surgeons approach complex procedures, making them both smarter and safer for patients worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Impact of Artificial Intelligence on the Timing of Recurrent Laryngeal Nerve Recognition during Robot-Assisted Minimally Invasive Esophagectomy
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago