Loc Trinh
Papers
2
Total Citations
98
H-Index
2
About
Dr. Loc Trinh is a pioneering researcher in surgical data science, with a focus on objectively quantifying surgical performance to improve patient outcomes. His work centers on the novel paradigm of decomposing complex procedures into discrete "surgical gestures," transforming how we measure technical skill. In his highly cited 2022 study (54 citations), Dr. Trinh demonstrated that these gesture-based metrics can predict patient outcomes, offering a powerful tool for training and quality assessment. He further advanced this field in his 2021 work (44 citations), where he integrated surgeon skill metrics with patient factors in a survival analysis to predict urinary continence recovery after robot-assisted radical prostatectomy. By bridging the gap between surgical technique and clinical results, Dr. Trinh is establishing a data-driven foundation for personalized surgical care and objective credentialing. His research not only illuminates the hidden patterns of expertise in the operating room but also provides actionable insights that could reshape surgical education and ultimately improve recovery for thousands of patients.
Research Focus
Key Achievements
Top Papers
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