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<p>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.</p>

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Multicenter validation of AI-enabled ECG for pediatric biological sex prediction

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月26日

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  • Donnchadh O’Sullivan,
  • Joshua Mayourian,
  • Scott Anjewierden,
  • Kan Liu,
  • Zachi Itzhak Attia,
  • Francisco Lopez-Jimenez,
  • Paul A. Friedman,
  • Tam Doan,
  • Lance Patterson,
  • Jennifer Dugan,
  • Jonathan N. Johnson,
  • Santiago Valdes,
  • Daniel J. Penny,
  • John K. Triedman,
  • Jeffrey J. Kim,
  • Talha Niaz,
  • Shaine A. Morris,
  • Malini Madhavan

摘要

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.