Multicenter validation of AI-enabled ECG for pediatric biological sex prediction.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 41748874.
- Also identified by DOI 10.1038/s41746-026-02416-9 and PMC identifier 13062150.
- Licence recorded as CC BY-NC-ND.
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Abstract
Biological sex is closely linked to patterns embedded within the electrocardiogram (ECG) with essential health and disease implications. We report multicenter verification of an AI-enabled ECG model to predict biological sex across pediatric development. A previously published Mayo Clinic model confirmed puberty-linked AUROC gradient during external validation at Texas Children's Hospital (pre-puberty AUROC 0.64, peri-puberty AUROC 0.84, post-puberty AUROC 0.94). This phenomenon was replicated at Boston Children's Hospital. Saliency mapping revealed established sex-related electrophysiologic patterns.