This study explores the use of artificial intelligence (AI) for auscultation in diagnosing heart failure in Sub-Saharan Africa, highlighting its potential to improve access to cardiovascular care in resource-limited settings. The research demonstrates that AI-based auscultation tools can effectively identify heart failure, offering a solution for early detection and management in regions with limited specialist availability. This approach may help bridge gaps in cardiovascular health equity by supporting timely diagnosis and intervention.