Max Robotics — Global Service Robot Directory + US Certification

About

Kiran Bhattacharyya is a leading researcher in surgical data science, with a focus on robotic-assisted surgery (RAS), surgical workflow analysis, and objective skills assessment. Their work addresses a critical gap in modern medicine: the need for reproducible, scalable, and actionable metrics to evaluate surgical performance and optimize patient outcomes. Bhattacharyya’s most influential paper, "How to Bring Surgery to the Next Level: Interpretable Skills Assessment in Robotic-Assisted Surgery" (34 citations), introduced novel methods for deriving objective skill metrics from robotic system data, moving beyond subjective evaluations. They also spearheaded the MICCAI 2020 SurgVisDom Challenge (13 citations), advancing domain adaptation techniques for surgical vision models. More recently, Bhattacharyya developed a groundbreaking approach to quantifying surgical workflow in robotic-assisted lobectomy (9 citations) and led the creation of the first clinical temporal annotation guide library for 10 robotic procedures (7 citations), a landmark resource for standardizing surgical video analysis. Their contributions to the Intuitive Surgical SurgToolLoc and SurgVU Challenges (6 citations) have further catalyzed community-wide progress in surgical AI. Bhattacharyya’s work is foundational for building context-aware, data-driven systems that promise to transform surgical training, efficiency, and safety.