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About

Dr. Anthony C. Antonacci is a surgical researcher whose work lies at the intersection of robotic surgery, objective performance assessment, and health equity. His primary research areas include video-based evaluation of surgical skill, operative efficiency in bariatric surgery, and the mitigation of bias in intraoperative assessment. Dr. Antonacci’s most cited work, “Correlation between operative time and crowd-sourced skills assessment for robotic bariatric surgery” (2020, 21 citations), demonstrates that crowd-sourced evaluations can reliably reflect surgical proficiency, offering a scalable tool for quality improvement. In a notable contribution to equity in surgery, his 2022 study “Blinded intraoperative skill evaluations avoid gender-based bias” (10 citations) showed that removing surgeon identifiers from video assessments eliminates gender disparities in performance ratings, a critical step toward fairer evaluation systems. His subsequent work on outcome prediction in bariatric surgery (2022, 4 citations) and the surgical learning curve (2023, 4 citations) further explores how technical skill variability among practicing surgeons explains differences in operative performance, challenging assumptions that all experienced surgeons perform uniformly. Through these studies, Dr. Antonacci is advancing a more objective, equitable, and data-driven approach to surgical education and credentialing.