Kohei Tajima

Tokai University

Papers

2

Total Citations

28

H-Index

2

About

Kohei Tajima is a pioneering surgeon-researcher at the forefront of integrating artificial intelligence into esophageal surgery. His work centers on enhancing surgical precision and patient safety during robot-assisted minimally invasive esophagectomy (RAMIE), with a particular focus on protecting the recurrent laryngeal nerve—a critical structure vulnerable during esophageal cancer procedures. Tajima’s major contribution lies in developing and validating AI models that can recognize and map the recurrent laryngeal nerve in real time during surgery. His 2024 study, cited 23 times, demonstrated the clinical usefulness of this AI approach, showing it can significantly reduce nerve injury and postoperative complications. Building on this, his 2025 work further refined the timing of AI-assisted nerve recognition, optimizing when the model provides feedback to surgeons for maximum impact. With over 28 citations across his most influential papers, Tajima’s research is shaping a new standard in robotic surgery, where machine learning augments human skill. His achievements highlight a transformative vision: leveraging AI not to replace surgeons, but to give them superhuman precision in the most delicate moments of an operation.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
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: 16
🏛 Institutions: Tokai University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago