Emmett D. Goodman

Papers

Total Citations

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About

Emmett D. Goodman is a leading researcher at the intersection of artificial intelligence, computer vision, and surgical robotics. His work focuses on developing AI-driven systems to objectively assess and enhance technical proficiency in robotic surgery, a field where subjective evaluation has long been a challenge. Goodman’s most-cited paper, "Using AI and computer vision to analyze technical proficiency in robotic surgery" (2022, 47 citations), demonstrates a novel approach to quantifying surgical skill by analyzing video data from robotic platforms. This contribution has significant implications for surgical training, credentialing, and patient safety, offering a scalable, data-driven method to evaluate performance. Beyond this flagship study, Goodman’s research continues to push boundaries in automated feedback systems and real-time surgical analytics. His work has been recognized for its potential to transform surgical education and practice, bridging the gap between machine learning and clinical application. With a growing citation impact, Goodman is establishing himself as a key voice in the emerging field of AI-assisted surgery, where his innovations promise to make robotic procedures safer, more consistent, and more accessible.