With technological advances like artificial intelligence (AI), machine learning and digital health tools moving from concept into clinical practice, a State-of-the-Art Review in JACC: Asia offers a comprehensive look at digital innovation spanning the full spectrum of cardiology from prevention to treatment to research.

Authors Toru Suzuki, MD, PhD, and Rick Suzuki, MD, address the current state of research and the “role of large-scale cohort studies, risk prediction algorithms, multimodal [AI] models and digital innovations such as wearable devices and assistive clinical tools in the prevention, diagnosis, treatment, and follow-up” of patients with cardiovascular disease.

They also look at barriers, ranging from data quality and infrastructure to regulatory frameworks. For example, they highlight the limitations of generalizability, personalization and sustainability associated with current population-based interventions and individual risk factor modification and note that the integration of AI and digital technologies may address these issues by enabling more precise, predictive and proactive prevention strategies.

The review also offers perspectives on the “translational pathway required to achieve precision cardiology that is equitable, scalable, and sustainable.” According to Suzuki and Suzuki: “AI must be viewed not as a replacement for clinical expertise but as a complementary tool that augments decision-making, integrates seamlessly into workflows, and extends the capacity of health systems. … The trajectory of the coming decade will determine whether these technologies, if developed responsibly and deployed equitably, can deliver on their promise to improve outcomes and transform cardiovascular health globally.”

Looking for more? ACC.26 features AI-focused Intensive sessions, plus late-breaking science and hands-on practice. The ACC AI Resource Center also includes resources and tools, including the new AI-Enabled Clinician Podcast, to help move from concept to implementation.

Keywords: Artificial Intelligence, Innovation, Wearable Electronic Devices