Sneha Singh
Papers
1
Total Citations
4
H-Index
1
About
Dr. Sneha Singh is pioneering the integration of artificial intelligence into surgical education, with a primary focus on leveraging large language models (LLMs) to enhance non-technical skills in the operating room. Her landmark 2025 study, "Feasibility of large language models for assessing and coaching surgeons’ non-technical skills," demonstrates how LLMs like Llama 3.1 and Mistral can analyze robotic-assisted surgery transcripts to objectively identify exemplar and non-exemplar communication patterns—a task traditionally reliant on subjective, resource-intensive human evaluation. This work has already garnered 4 citations, signaling its immediate impact on the field. By automating the assessment of teamwork, decision-making, and situational awareness, Dr. Singh’s research promises to make surgical coaching more scalable, consistent, and accessible. Her contributions bridge the gap between computational linguistics and clinical performance, offering a data-driven pathway to improve patient safety and surgical training. As a rising voice in AI-assisted medical education, Dr. Singh is reshaping how future surgeons learn the critical interpersonal skills that complement technical expertise.
Research Focus
Key Achievements
Top Papers
- 1