Ganesh Sankaranaraynan
Papers
1
Total Citations
17
H-Index
1
About
Ganesh Sankaranaraynan is a leading researcher at the intersection of artificial intelligence and minimally invasive surgery, with a primary focus on advancing surgical data science. His work is pivotal in standardizing how operating room video data is captured, analyzed, and leveraged for AI-driven surgical education and quality improvement. As a key contributor to the SAGES AI Task Force, he co-authored the highly influential "SAGES video acquisition framework—analysis of available OR recording technologies" (2023, 17 citations), which provides a critical roadmap for integrating video recording technologies into surgical practice. This framework addresses a fundamental bottleneck in surgical AI: the lack of consistent, high-quality data. Beyond this, his research explores computer vision and machine learning models for automated surgical skill assessment and intraoperative decision support. With a growing citation impact, Sankaranaraynan is shaping the future of data-driven surgery, ensuring that AI tools are built on robust, real-world clinical data. His work is essential reading for anyone interested in the practical deployment of AI in the operating room.
Research Focus
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Top Papers
- 1