Artificial Intelligence for Cardiovascular Care—Part 1: Advances: JACC Review Topic of the Week.

Recent artificial intelligence (AI) advancements in cardiovascular care offer potential enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on automating measurements, enhancing image quality, and detecting diseases using novel methods. Applications span wearables, electrocardiograms, echocardiography, angiography, genetics, and more. AI models detect diseases from electrocardiograms at accuracy not previously achieved by technology or human experts, including reduced ejection fraction, valvular heart disease, and other cardiomyopathies. However, AI's unique characteristics necessitate rigorous validation by addressing training methods, real-world efficacy, equity concerns, and long-term reliability. Despite an exponentially growing number of studies in cardiovascular AI, trials showing improvement in outcomes remain lacking. A number are currently underway. Embracing this rapidly evolving technology while setting a high evaluation benchmark will be crucial for cardiology to leverage AI to enhance patient care and the provider experience. [Display omitted] • AI models can detect cardiovascular disorders including reduced ejection fraction, valvular heart disease, and cardiomyopathies from electrocardiograms with accuracy not previously achieved by human experts or technology. • Despite an exploding number of studies of cardiovascular AI technologies and ongoing patient-oriented trials, evidence of improvement in outcomes is not currently available. • All cardiac imaging modalities now have applications using AI, improving acquisition, measurement, and diagnostic capacity. [ABSTRACT FROM AUTHOR]