Diagnosis of Cardiovascular Diseases Using YOLOv8 on MRI Heart Imaging Data

Cardiovascular diseases like DCM, HCM, and MINF remain major global health issues, demandingfast and accurate diagnosis. This paper presents a novel use of the YOLOv8 object detection model forautomated CVD diagnosis using cardiac MRI images. Unlike traditional methods relying on clinical data ormanual features, our system analyzes raw MRI scans. The annotated dataset includes DCM, HCM, MINF,and normal cases. YOLOv8 effectively detects and classifies conditions with high accuracy and real-timeperformance. It also offers visual explainability through bounding boxes and confidence scores. The resultssuggest strong potential for clinical application in non-invasive heart diagnostics.