Daniel I. Sanford
Papers
7
Total Citations
110
H-Index
5
About
Daniel I. Sanford is a leading researcher at the intersection of robotic surgery, technical skill assessment, and clinical outcomes. His work focuses on quantifying surgical performance—particularly in robot-assisted radical prostatectomy—to improve patient recovery and surgical training. Sanford’s most cited study (44 citations) demonstrated that combining surgeon skill metrics with patient factors can predict urinary continence recovery, directly linking technical proficiency to postoperative quality of life. He also co-developed the Dissection Assessment for Robotic Technique (DART), a validated scoring tool that fills a critical gap in evaluating dissection quality. His research on suturing, including the use of virtual reality simulation and automated skill assessment, has advanced objective methods for training and accreditation. Notably, Sanford’s work during the COVID-19 pandemic revealed measurable decay in robotic surgical performance among urologists, underscoring the importance of consistent practice. With contributions that bridge engineering, education, and urology, Sanford is shaping how the field understands and measures surgical expertise.
Research Focus
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Top Papers
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