Nathan Curtis
Papers
1
Total Citations
71
H-Index
1
About
Nathan Curtis is a leading researcher in robotic surgery, with a primary focus on advancing surgical training and technical skills assessment. His most influential work, a 2023 systematic review evaluating objective tools and artificial intelligence in robotic surgery skills assessment, has garnered 71 citations and serves as a cornerstone for standardizing training and accreditation in the field. Curtis's major contribution lies in systematically identifying and evaluating objective assessment tools, providing a critical framework for integrating AI-driven feedback into surgical education. His research addresses the urgent need for reliable, data-driven methods to evaluate surgeon proficiency, directly impacting how robotic surgery training programs are designed and accredited. By mapping the current landscape of assessment technologies and their readiness for clinical implementation, Curtis has helped bridge the gap between innovative AI tools and practical training needs. His work is essential reading for researchers and educators seeking to improve surgical outcomes through rigorous, objective skill evaluation, positioning him as a key voice in the future of minimally invasive surgery education.
Research Focus
Key Achievements
Top Papers
- 1