Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : A retrospective cohort study.

These results show the satisfactory performance of the deep learning classifier in predicting HGSBO compared to the previous machine learning model. The novel 3D classifier with DBA and DRP based on AI algorithms could be a reliable screening and decision-support tool for high-risk patients with SBO.