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Radiologist-AI Collaboration for Ischemia Diagnosis in Small Bowel Obstruction: Multicentric Development and External Validation of a Multimodal Deep Learning Model

2025-09-08

Abstract excerpt

<h4>Purpose</h4> To develop and externally validate a multimodal AI model for detecting ischaemia complicating small-bowel obstruction (SBO). <h4>Methods</h4> We combined 3D CT data with routine laboratory markers (C-reactive protein, neutrophil count) and, optionally, radiology report text. From two centers, 1,350 CT examinations were curated; 771 confirmed SBO scans were used for model development with patient...

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Literature Corpus work
b343bbab-67b9-5a3a-b27a-2554c67eb2b9
DOI
10.1101/2025.09.05.25335014
Open publication

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Radiologist-AI Collaboration for Ischemia Diagnosis in Small Bowel Obstruction: Multicentric Development and External Validation of a Multimodal Deep Learning ModelDOI 10.1101/2025.09.05.25335014
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