Advancements in AI-driven diagnostics could transform cardiology, enabling autonomous interpretation of up to 80% of cardiac imaging within a decade. David Ouyang, MD, discusses overcoming barriers to running AI trials, emphasizing strategic integration of AI outputs into clinical workflows for real-world impact. Insights highlight the pivotal role of clinician-led innovations in shaping the future of medical practice, where precision, efficiency, and diagnostic accuracy converge seamlessly with AI technologies.