Article

Adversarial Validation Reveals Diagnostic Workflow Leakage in PCOS Machine Learning Models

2026-07-23

Abstract excerpt

<h4>Background</h4> Machine-learning models for polycystic ovary syndrome (PCOS) and other conditions frequently report near-perfect diagnostic performance, but retrospective datasets assembled from routine clinical practice can encode diagnostic-group membership in how data were acquired rather than in disease biology, and this acquisition-related information can be indistinguishable from genuine clinical signal...

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Literature Corpus work: 8067c942-b40e-5920-be97-1c5e89e9f772
DOI: 10.64898/2026.07.22.26358682

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