aceBeyond EuroSCORE II: is artificial intelligence ready to redefine risk stratification in cardiothoracic surgery?
Risk stratification is central to contemporary cardiothoracic surgical practice, guiding patient selection, perioperative planning, informed consent, and benchmarking of outcomes across institutions. Established models such as European System for Cardiac Operative Risk Evaluation II and the Society of Thoracic Surgeons risk score remain widely used because they are validated, interpretable, and embedded within routine clinical workflows. However, their static structure and reliance on predefined variables may li…
Machine learning models analyzing nonlinear and high-dimensional clinical data have shown improved predictive discrimination for cardiothoracic surgical risk in selected cohorts compared with static traditional scores.
AI-based risk stratification tools in cardiothoracic surgery face limited interpretability, dataset bias, inconsistent external validation, and uncertain real-world implementation.
Current evidence supports augmentation rather than replacement of traditional models, with inconsistent external validation and uncertainty about real-world implementation.
Evidence
- Peer-reviewedAnnals of Medicine & Surgery2026-07-01
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Truvace Impact Record TRV-2026-0317, v1: “Beyond EuroSCORE II: is artificial intelligence ready to redefine risk stratification in cardiothoracic surgery?.” Truvace, 2026-07-20. /record/TRV-2026-0317 (accessed at citation time). sha256 6f6273c6227d80d4…
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