Article

Assessing The Value of Deep Neural Networks for Postoperartive Complication Prediction in Pancreaticoduodenectomy Patients

2023-08-22

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC) is associated with a high risk of postoperative complications (PoCs) and risk prediction of these is therefore critical for optimal treatment planning. We hypothesize that novel deep learning network approaches through transfer learning may be superior to legacy approaches for PoC risk pre...

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Literature Corpus work: f3bba71f-e570-5e93-bf62-44c5749e7ff6
DOI: 10.1101/2023.08.21.23294364

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