Researchers crafted an innovative machine learning (ML) model for forecasting clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy. The ML model consistently outshone the existing modified fistula risk score (MFRS) in both internal and external validations, proving its versatility and efficacy in enhancing CR-POPF prediction. This breakthrough offers a more accurate risk stratification tool, potentially guiding tailored treatment strategies for pancreaticoduodenectomy candidates.
Journal Article by Verma A, Balian J (…) Benharash P et 4 al. in Ann Surg
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