Each year, cardiovascular diseases claim approximately 17.9 million lives globally, accounting for about one-third of all deaths, most due to heart attacks and strokes. Despite notable advancements in imaging and a growing cardiac diagnostics market, early detection of conditions like heart failure, atrial fibrillation, and valve disease still largely depends on expensive equipment and slow referral processes. These barriers often delay interventions and result in missed opportunities for timely treatment.
Enter artificial intelligence (AI). By merging clinical expertise with machine learning, AI-powered devices are redefining how frontline healthcare providers scr...
