Prediction of heart failure risk factors from retinal optical imaging via explainable machine learning

• Published in: Frontiers in medicine Vol. 12; p. 1551557
• Main Authors: Al Younis, Sona M., Ghosh, Samit Kumar, Raja, Hina, Alskafi, Feryal A., Yousefi, Siamak, Khandoker, Ahsan H.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 17.03.2025
• Subjects: cardiovascular diseases; deep learning; explainable AI; heart failure; machine learning; Medicine; UK Biobank; deep learning; heart failure; explainable AI; cardiovascular diseases; machine learning; UK Biobank

Over 64 million people worldwide are affected by heart failure (HF), a condition that significantly raises mortality and medical expenses. In this study, we explore the potential of retinal optical coherence tomography (OCT) features as non-invasive biomarkers for the classification of heart failure...