Persistent challenges in pancreatic surgery: Postoperative pancreatic fistula prediction in the machine learning era —Response to: Machine learning versus logistic regression for the prediction of complications after pancreaticoduodenectomy

Pancreaticoduodenectomy (PD) surgery is the only curative treatment for periampullary pancreatic cancers. Despite advancements in surgical techniques and medical care, the morbidity associated with this procedure remains high.1 This holds particularly true for clinically relevant postoperative pancreatic fistula (POPF), which affects nearly 18.4% of patients after PD surgery.2 The emergence of predictive tools empowers clinicians to administer timely care, allowing for earlier diagnosis and interventions and for actionable preemptive measures to mitigate associated morbidity.
Source: Surgery - Category: Surgery Authors: Source Type: research