A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy
Abstract
Clinically relevant postoperative pancreatic fistula (CR-POPF) is a life-threatening complication following pancreaticoduodenectomy (PD). Individualized preoperative risk assessment could improve clinical management and prevent or mitigate adverse outcomes. The aim of this study is to develop a machine learning risk model to predict occurrence of CR-POPF after PD from preoperative computed tomography (CT) scans. A total of 100 preoperative...
Paper Details
Title
A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy
Published Date
Oct 1, 2021
Journal
Volume
74
Issue
1
Pages
235 - 243
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