Mallory Shields
Intuitive Surgical (United States), Intuitive Surgical (Switzerland)
Papers
13
Total Citations
100
H-Index
6
About
Mallory Shields is an emerging surgical data scientist whose research sits at the intersection of robotic surgery, objective performance assessment, and surgical education. Her work focuses primarily on developing and validating objective performance indicators (OPIs) — quantitative, intraoperative metrics derived from robotic surgical systems — to evaluate surgeon skill and improve clinical outcomes across a range of procedures including colorectal surgery, cholecystectomy, and thoracic surgery. Shields has made notable contributions to the field by demonstrating that OPIs can reliably differentiate surgeon expertise during robotic right colectomy and proctectomy, and by introducing innovative frameworks such as the Ratio of Economy of Motion to address the methodological challenge of assigning console-specific metrics in dual-console procedures. Her systematic review of OPI literature has helped synthesize a rapidly growing evidence base, accumulating 10 citations since 2024. She has also advanced surgical video annotation by developing the first standardized temporal segmentation framework for robotic procedures, a resource with broad implications for surgical AI and training. With over 90 cumulative citations across publications spanning just two years, Shields is establishing herself as a rigorous and prolific voice in surgical data science, helping redefine how operative performance is measured, taught, and understood.
Research Focus
Key Achievements
Top Papers
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- 7Quantification of surgical workflow during robotic proctectomy6 citations · 2024
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