Addressing disparities in transthyretin amyloid cardiomyopathy: A systematic review of artificial intelligence in the early identification to improve patient outcomes

The integration of AI into ECG, echocardiograms, and CMR have the potential to significantly improve the early detection and classification of ATTR-CM, preventing the progression to end-stage heart failure. Accessible AI-based screening tools could address health disparities by enabling earlier identification and treatment initiation for Black populations who face disproportionate disease burden of ATTR-CM and diagnostic delays.