A multimodal deep learning model for predicting impending rupture in symptomatic abdominal aortic aneurysms using CTA and clinical data.

Although its higher AUC did not reach statistical significance versus baselines—likely due to limited sample size—the model excelled on emergency-relevant metrics: high NPV for safe rule-out, superior calibration, and greater net clinical benefit across risk thresholds in DCA.

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