TY - CHAP M1 - Book, Section TI - Artificial Intelligence and Cardiovascular Care A1 - Rumsfeld, John S. A1 - Mortazavi, Bobak J. A1 - Krumholz, Harlan M. A2 - Fuster, Valentin A2 - Narula, Jagat A2 - Vaishnava, Prashant A2 - Leon, Martin B. A2 - Callans, David J. A2 - Rumsfeld, John S. A2 - Poppas, Athena PY - 2022 T2 - Fuster and Hurst's The Heart, 15e AB - Chapter SummaryThis chapter provides an overview of the current and potential applications for artificial intelligence (AI) in cardiovascular care. AI techniques can mimic human thought processes, learning capacity, and knowledge storage. Current AI applications do not have independent reasoning or abstraction; instead they are focused on specific tasks such as automation, risk prediction, and pattern recognition. Most current AI techniques involve some form of machine learning methods. AI holds substantial promise for cardiovascular care, given the variety of ever-growing digital data becoming available. Because pattern recognition is a particularly good application for AI, cardiovascular imaging is a high-yield area for its use. The use of AI in risk prediction has also grown rapidly, as has the interpretation of digital health data (eg, from wearable or nonwearable biosensors). However, the evidence base for AI solutions for cardiovascular care so far has been limited, and deployment of AI in routine cardiovascular clinical practice has been minimal to date. Current challenges must be successfully navigated before wide adoption of AI takes place in our field, with careful development and adoption in clinical practice (see Fuster and Hurst’s Central Illustration). With this approach, AI has the potential to advance the concepts of both precision health and population health management. Ultimately, AI is best developed and deployed as “augmented intelligence”—that is, to enhance human intelligence—in support of cardiovascular clinicians and health systems in achieving higher quality of care and improved health outcomes. SN - PB - McGraw-Hill Education CY - New York, NY Y2 - 2024/10/10 UR - accesscardiology.mhmedical.com/content.aspx?aid=1202454046 ER -