Maya Zohar
Papers
2
Total Citations
37
H-Index
2
About
Maya Zohar is a pioneering researcher at the intersection of artificial intelligence and robotic surgery, with a primary focus on urologic oncology. Her most impactful work centers on developing computer-vision algorithms that automatically identify key surgical steps during robotic-assisted radical prostatectomy. In her landmark 2024 study (35 citations), Zohar introduced a novel AI platform capable of structuring and labeling raw surgical video footage—transforming vast, unstructured data into actionable insights for training, quality assessment, and automated operative reporting. This contribution directly addresses a critical bottleneck in minimally invasive surgery: the inability to efficiently analyze the enormous volume of video data generated in the operating room. Her earlier work (2023) demonstrated the feasibility of generating automated operative reports for robotic prostatectomy using the same AI framework, laying the groundwork for reducing documentation burden and improving surgical standardization. Zohar’s research has significant implications for surgical education, performance benchmarking, and patient safety. By enabling machines to “watch” and interpret surgery, she is helping to unlock the latent value of surgical video, positioning her as a key innovator in the emerging field of AI-driven surgical analytics.
Research Focus
Key Achievements
Top Papers
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