[Articles] Integration of clinical data with scanned ECGs using deep learning methods for stroke risk prediction in Indian patients with atrial fibrillation: evidence from the KERALA-AF study

Integrating scanned paper ECGs with clinical data via deep learning methods significantly enhanced 1-year stroke clinical risk prediction in South Asian AF patients. This study demonstrates the value of using multimodal AI with readily available, non-digital data in improving clinical risk stratification beyond current approaches based on clinical risk factors alone.