Background Early detection of prediabetes is crucial for diabetes prevention, yet it remains challenging due to its asymptomatic nature and low screening rates. This study aimed to develop and rigorously validate artificial intelligence (AI) models to identify individuals with prediabetes solely using electrocardiograms (ECGs). Methods We defined prediabetes/diabetes based on fasting plasma glucose ≥ 110 mg/dL, hemoglobin https://cardiab.biomedcent...