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Deep learning predicts surgical risk from CT scans

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a deep learning pipeline to predict postoperative pancreatic fistula (POPF) using preoperative CT scans. The system automates the process from pancreatic segmentation to classification, aiming to estimate and stratify POPF risk. Evaluations using various 3D convolutional neural network architectures showed promising predictive performance, offering a valuable tool for preoperative decision-making in pancreatic surgery. AI

IMPACT This research offers a potential new tool for surgeons to better assess patient risk before complex operations.

RANK_REASON The cluster contains an academic paper describing a new research methodology and model.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Ashok Choudhary, Chris Varghese, Leo Y. Li-Han, Frank G. Lee, Ellen L. Larson, Elizabeth B. Habermann, Cornelius A. Thiels, Hojjat Salehinejad ·

    Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography

    arXiv:2605.31539v1 Announce Type: cross Abstract: Postoperative pancreatic fistula (POPF) is a serious complication after pancreatic resection, increasing morbidity, hospital stay, and healthcare costs. We present an automatic, end-to-end deep learning pipeline-from pancreatic se…

  2. arXiv cs.LG TIER_1 English(EN) · Hojjat Salehinejad ·

    Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography

    Postoperative pancreatic fistula (POPF) is a serious complication after pancreatic resection, increasing morbidity, hospital stay, and healthcare costs. We present an automatic, end-to-end deep learning pipeline-from pancreatic segmentation to classification-for preoperative POPF…

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