Artificial Intelligence in Cardiovascular Care—Part 2: Applications: JACC Review Topic of the Week

Sneha S. Jain; Pierre Elias; Timothy Poterucha; Michael Randazzo; Francisco Lopez Jimenez; Rohan Khera; Marco Perez; David Ouyang; James Pirruccello; Michael Salerno; Andrew J. Einstein; Robert Avram; Geoffrey H. Tison; Girish Nadkarni; Vivek Natarajan; Emma Pierson; Ashley Beecy; Deepa Kumaraiah; Chris Haggerty; Jennifer N. Avari Silva; Thomas M. Maddox

doi:10.1016/j.jacc.2024.03.401

Artificial Intelligence in Cardiovascular Care—Part 2: Applications: JACC Review Topic of the Week

Sneha S. Jain, Pierre Elias, Timothy Poterucha, Michael Randazzo, Francisco Lopez Jimenez, Rohan Khera, Marco Perez, David Ouyang, James Pirruccello, Michael Salerno, Andrew J. Einstein, Robert Avram, Geoffrey H. Tison, Girish Nadkarni, Vivek Natarajan, Emma Pierson, Ashley Beecy, Deepa Kumaraiah, Chris Haggerty, Jennifer N. Avari SilvaThomas M. Maddox

The Charles Bronfman Institute for Personalized Medicine

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	2487-2496
Number of pages	10
Journal	Journal of the American College of Cardiology
Volume	83
Issue number	24
DOIs	https://doi.org/10.1016/j.jacc.2024.03.401
State	Published - 18 Jun 2024

Keywords

artificial intelligence
cardiac imaging
clinical trials
deep learning
digital health
generative AI
health equity
implementation science
innovation
large language models
machine learning

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10.1016/j.jacc.2024.03.401

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Jain, S. S., Elias, P., Poterucha, T., Randazzo, M., Lopez Jimenez, F., Khera, R., Perez, M., Ouyang, D., Pirruccello, J., Salerno, M., Einstein, A. J., Avram, R., Tison, G. H., Nadkarni, G., Natarajan, V., Pierson, E., Beecy, A., Kumaraiah, D., Haggerty, C., ... Maddox, T. M. (2024). Artificial Intelligence in Cardiovascular Care—Part 2: Applications: JACC Review Topic of the Week. Journal of the American College of Cardiology, 83(24), 2487-2496. https://doi.org/10.1016/j.jacc.2024.03.401

@article{fbeebbe311fd4ad19536a91ec0167b7f,

title = "Artificial Intelligence in Cardiovascular Care—Part 2: Applications: JACC Review Topic of the Week",

abstract = "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.",

keywords = "artificial intelligence, cardiac imaging, clinical trials, deep learning, digital health, generative AI, health equity, implementation science, innovation, large language models, machine learning",

author = "Jain, {Sneha S.} and Pierre Elias and Timothy Poterucha and Michael Randazzo and {Lopez Jimenez}, Francisco and Rohan Khera and Marco Perez and David Ouyang and James Pirruccello and Michael Salerno and Einstein, {Andrew J.} and Robert Avram and Tison, {Geoffrey H.} and Girish Nadkarni and Vivek Natarajan and Emma Pierson and Ashley Beecy and Deepa Kumaraiah and Chris Haggerty and {Avari Silva}, {Jennifer N.} and Maddox, {Thomas M.}",

note = "Publisher Copyright: {\textcopyright} 2024 American College of Cardiology Foundation",

year = "2024",

month = jun,

day = "18",

doi = "10.1016/j.jacc.2024.03.401",

language = "English",

volume = "83",

pages = "2487--2496",

journal = "Journal of the American College of Cardiology",

issn = "0735-1097",

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Jain, SS, Elias, P, Poterucha, T, Randazzo, M, Lopez Jimenez, F, Khera, R, Perez, M, Ouyang, D, Pirruccello, J, Salerno, M, Einstein, AJ, Avram, R, Tison, GH, Nadkarni, G, Natarajan, V, Pierson, E, Beecy, A, Kumaraiah, D, Haggerty, C, Avari Silva, JN & Maddox, TM 2024, 'Artificial Intelligence in Cardiovascular Care—Part 2: Applications: JACC Review Topic of the Week', Journal of the American College of Cardiology, vol. 83, no. 24, pp. 2487-2496. https://doi.org/10.1016/j.jacc.2024.03.401

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.

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

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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 -

Artificial Intelligence in Cardiovascular Care—Part 2: Applications: JACC Review Topic of the Week

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Keywords

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