Education of artificial intelligence for cardiovascular clinicians

Rob Brisk; RR Bond; David McEneaney

doi:10.1016/B978-0-323-90534-3.00041-X

Education of artificial intelligence for cardiovascular clinicians

Rob Brisk, RR Bond, David McEneaney

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

As artificial intelligence (AI) advances, and the domain of clinical medicine becomes more subspecialized, the knowledge gulf between the two grows. Cardiology is a prime example of a highly subspecialized medical field that stands to benefit substantially from AI. By updating cardiology curricula to include AI components, we can equip clinicians to direct the evolution of AI-augmented cardiology.

Original language	English
Title of host publication	Intelligence-Based Cardiology and Cardiac Surgery
Subtitle of host publication	Artificial Intelligence and Human Cognition in Cardiovascular Medicine
Editors	Anthony Chang, Alfonso Limon, Louise Y Sun, Robert Brisk, Francisco Lopez-Jimenez
Publisher	Elsevier
Chapter	42
Pages	393-396
Number of pages	4
Edition	1st
ISBN (Electronic)	9780323905343
ISBN (Print)	9780323905343
DOIs	https://doi.org/10.1016/B978-0-323-90534-3.00041-X
Publication status	Published (in print/issue) - 29 Sept 2023

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Inc. All rights reserved.

Keywords

AI
education
cardiology
Continuing medical education
Machine learning algorithms
Foundational digital technologies
Knowledge gulf
Cardiology
Artificial intelligence
Bottlenecks

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-323-90534-3.00041-X

Cite this

Brisk, R., Bond, RR., & McEneaney, D. (2023). Education of artificial intelligence for cardiovascular clinicians. In A. Chang, A. Limon, L. Y. Sun, R. Brisk, & F. Lopez-Jimenez (Eds.), Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine (1st ed., pp. 393-396). Elsevier. https://doi.org/10.1016/B978-0-323-90534-3.00041-X

@inbook{ac31a52c535b4e92bc218d73be033ddb,

title = "Education of artificial intelligence for cardiovascular clinicians",

abstract = "As artificial intelligence (AI) advances, and the domain of clinical medicine becomes more subspecialized, the knowledge gulf between the two grows. Cardiology is a prime example of a highly subspecialized medical field that stands to benefit substantially from AI. By updating cardiology curricula to include AI components, we can equip clinicians to direct the evolution of AI-augmented cardiology.",

keywords = "AI, education, cardiology, Continuing medical education, Machine learning algorithms, Foundational digital technologies, Knowledge gulf, Cardiology, Artificial intelligence, Bottlenecks",

author = "Rob Brisk and RR Bond and David McEneaney",

year = "2023",

month = sep,

day = "29",

doi = "10.1016/B978-0-323-90534-3.00041-X",

language = "English",

isbn = "9780323905343",

pages = "393--396",

editor = "Anthony Chang and Alfonso Limon and Sun, {Louise Y} and Robert Brisk and Francisco Lopez-Jimenez",

booktitle = "Intelligence-Based Cardiology and Cardiac Surgery",

publisher = "Elsevier",

edition = "1st",

}

Brisk, R, Bond, RR & McEneaney, D 2023, Education of artificial intelligence for cardiovascular clinicians. in A Chang, A Limon, LY Sun, R Brisk & F Lopez-Jimenez (eds), Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine. 1st edn, Elsevier, pp. 393-396. https://doi.org/10.1016/B978-0-323-90534-3.00041-X

Education of artificial intelligence for cardiovascular clinicians. / Brisk, Rob; Bond, RR; McEneaney, David.
Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine. ed. / Anthony Chang; Alfonso Limon; Louise Y Sun; Robert Brisk; Francisco Lopez-Jimenez. 1st. ed. Elsevier, 2023. p. 393-396.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Education of artificial intelligence for cardiovascular clinicians

AU - Brisk, Rob

AU - Bond, RR

AU - McEneaney, David

PY - 2023/9/29

Y1 - 2023/9/29

N2 - As artificial intelligence (AI) advances, and the domain of clinical medicine becomes more subspecialized, the knowledge gulf between the two grows. Cardiology is a prime example of a highly subspecialized medical field that stands to benefit substantially from AI. By updating cardiology curricula to include AI components, we can equip clinicians to direct the evolution of AI-augmented cardiology.

AB - As artificial intelligence (AI) advances, and the domain of clinical medicine becomes more subspecialized, the knowledge gulf between the two grows. Cardiology is a prime example of a highly subspecialized medical field that stands to benefit substantially from AI. By updating cardiology curricula to include AI components, we can equip clinicians to direct the evolution of AI-augmented cardiology.

KW - AI

KW - education

KW - cardiology

KW - Continuing medical education

KW - Machine learning algorithms

KW - Foundational digital technologies

KW - Knowledge gulf

KW - Cardiology

KW - Artificial intelligence

KW - Bottlenecks

UR - https://www.elsevier.com/books/intelligence-based-cardiology-and-cardiac-surgery/chang/978-0-323-90534-3

UR - http://www.scopus.com/inward/record.url?scp=85176830760&partnerID=8YFLogxK

U2 - 10.1016/B978-0-323-90534-3.00041-X

DO - 10.1016/B978-0-323-90534-3.00041-X

M3 - Chapter

SN - 9780323905343

SP - 393

EP - 396

BT - Intelligence-Based Cardiology and Cardiac Surgery

A2 - Chang, Anthony

A2 - Limon, Alfonso

A2 - Sun, Louise Y

A2 - Brisk, Robert

A2 - Lopez-Jimenez, Francisco

PB - Elsevier

ER -

Education of artificial intelligence for cardiovascular clinicians

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this