AI analysis of pre- and post-EVAR CT detects endoleaks with AUC 0.85 at external validation

An AI pipeline automatically analysed pre- and post-EVAR CTAs in 372 patients, segmenting anatomy with Dice >0.9, detecting endoleaks with AUC 0.85 on external validation, and measuring AAA diameter within 2 mm error (R≥0.97), matching interobserver variability.

• Endoleak detection achieved AUC 0.87 (internal) and 0.85 (external).
• AI-derived maximum AAA diameters correlated strongly with manual measurements (all R ≥ 0.97; ICC ≥ 0.97), with median error ≤ 2 mm.
• Disagreement in AAA diameter change over time was lower than interobserver variability.

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