Key result
AI holds promise to enhance cardiovascular care but requires rigorous evaluation and infrastructure.
Captured external expert commentary on this paper, strongest first. Original sources are linked where available.
“Artificial intelligence and digital health technologies may help bridge this implementation gap by enabling scalable, personalized, and longitudinal delivery of AF care beyond traditional clinic settings.”
This review highlights the growing opportunities for AI to augment cardiovascular care, emphasizing the need for rigorous evaluation, ethical assessment, and appropriate infrastructure.
Recent Artificial Intelligence (AI) advancements in cardiovascular care offer potential enhancements in effective diagnosis, treatment, and outcomes. Over 600 Food and Drug Administration (FDA)-approved clinical AI algorithms now exist, with 10% focusing on cardiovascular applications, highlighting the growing opportunities for AI to augment care. This review discusses the latest advancements in the field of AI, with a particular focus on the utilization of multimodal inputs and the field of generative AI. Further discussions in this review involve an approach to understanding the larger context in which AI-augmented care may exist, and include a discussion of the need for rigorous evaluation, appropriate infrastructure for deployment, ethics and equity assessments, regulatory oversight, and viable business cases for deployment. Embracing this rapidly evolving technology while setting an appropriately high evaluation benchmark with careful and patient-centered implementation will be crucial for cardiology to leverage AI to enhance patient care and the provider experience.
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Jain et al. (2024) conducted a review in Cardiovascular disease. Artificial Intelligence was evaluated. Artificial intelligence advancements in cardiovascular care offer potential enhancements in diagnosis and treatment, highlighting the need for rigorous evaluation and appropriate infrastructure.
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