Papers
7
Total Citations
157
H-Index
6
About
Paras Shah is a urologic surgeon and researcher whose work sits at the intersection of minimally invasive oncology and artificial intelligence. His primary research areas include the surgical management of kidney and prostate cancers, with a particular focus on robotic-assisted techniques and the application of AI to improve surgical documentation and analysis. Shah has made significant contributions to understanding practice patterns in small renal masses, notably demonstrating in a 2018 study of over 52,000 patients that the diffusion of robotic surgery may be associated with overtreatment—a finding with important implications for clinical decision-making. His work on automated identification of surgical steps in robotic radical prostatectomy, published in 2024, has already garnered 35 citations, highlighting its impact in the emerging field of surgical AI. More recently, Shah has pioneered the use of computer vision to generate automated operative reports, addressing a major source of physician burnout. With multiple high-impact publications and a growing portfolio of AI-driven innovations, Shah is shaping the future of urologic surgery by making it both more precise and more efficient.
Research Focus
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