Deep learning-derived biological age from preoperative chest radiographs predicts mortality following surgical and transcatheter procedures for structural heart disease beyond EuroSCORE II
A chest X-ray analysis can estimate biological aging to better predict surgical risk beyond existing heart surgery scores.
A deep learning model extracted biological age from routine preoperative chest X-rays and demonstrated this metric adds independent mortality prediction power beyond the established EuroSCORE II cardiac surgical risk score. This positions CXR-based biological age as a non-invasive, universally available imaging biomarker for perioperative cardiac risk stratification.
What the study was
- Study design
- retrospective_cohort
- Category
- ai_ml_clinical_diagnostics
- Maturity
- Validated
- Journal
- European Heart Journal Digital Health
Why it surfaced
High-quality AI diagnostics study (T4) validated against gold-standard risk score. Eur Heart J Digital Health + open access PMC. Translational imaging biomarker with direct cardiac surgery application.
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