Kazuhiro Noma

Okayama University

Papers

3

Total Citations

35

H-Index

3

About

Dr. Kazuhiro Noma is a pioneering surgeon-researcher at the forefront of integrating artificial intelligence into robotic esophageal surgery. His primary research focuses on enhancing surgical precision and safety during robot-assisted minimally invasive esophagectomy (RAMIE), with a particular emphasis on protecting the recurrent laryngeal nerve—a critical structure vulnerable during esophageal cancer procedures. Dr. Noma’s landmark 2024 study demonstrated the clinical utility of an AI model for real-time nerve recognition during RAMIE, a contribution that has already garnered 23 citations and is reshaping intraoperative decision-making. He further advanced this work in 2025 by investigating how AI can optimize the timing of nerve identification, reducing the risk of vocal cord paralysis. Beyond AI applications, Dr. Noma is a leader in surgical education, as evidenced by his randomized controlled trial (TAKUMI-1), which showed that educational videos significantly improve robotic simulation training performance. This work, with 7 citations, underscores his commitment to standardizing and elevating robotic surgery training. Through his dual focus on AI-assisted intraoperative safety and evidence-based surgical education, Dr. Noma is driving meaningful improvements in both patient outcomes and surgeon training in minimally invasive oncology.

Research Focus

Key Achievements

3
H-Index
3
Papers
35
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy
23 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Okayama University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago