TY - JOUR
T1 - Artificial Intelligence in Cardiovascular Care—Part 2
T2 - Applications: JACC Review Topic of the Week
AU - Jain, Sneha S.
AU - Elias, Pierre
AU - Poterucha, Timothy
AU - Randazzo, Michael
AU - Lopez Jimenez, Francisco
AU - Khera, Rohan
AU - Perez, Marco
AU - Ouyang, David
AU - Pirruccello, James
AU - Salerno, Michael
AU - Einstein, Andrew J.
AU - Avram, Robert
AU - Tison, Geoffrey H.
AU - Nadkarni, Girish
AU - Natarajan, Vivek
AU - Pierson, Emma
AU - Beecy, Ashley
AU - Kumaraiah, Deepa
AU - Haggerty, Chris
AU - Avari Silva, Jennifer N.
AU - Maddox, Thomas M.
N1 - Publisher Copyright:
© 2024 American College of Cardiology Foundation
PY - 2024/6/18
Y1 - 2024/6/18
N2 - Recent artificial intelligence (AI) advancements in cardiovascular care offer potential enhancements in effective diagnosis, treatment, and outcomes. More than 600 U.S. Food and Drug Administration–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.
AB - Recent artificial intelligence (AI) advancements in cardiovascular care offer potential enhancements in effective diagnosis, treatment, and outcomes. More than 600 U.S. Food and Drug Administration–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.
KW - artificial intelligence
KW - cardiac imaging
KW - clinical trials
KW - deep learning
KW - digital health
KW - generative AI
KW - health equity
KW - implementation science
KW - innovation
KW - large language models
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85193920984&partnerID=8YFLogxK
U2 - 10.1016/j.jacc.2024.03.401
DO - 10.1016/j.jacc.2024.03.401
M3 - Review article
C2 - 38593945
AN - SCOPUS:85193920984
SN - 0735-1097
VL - 83
SP - 2487
EP - 2496
JO - Journal of the American College of Cardiology
JF - Journal of the American College of Cardiology
IS - 24
ER -