AI and Heart Failure: Present State and Future With Multimodal Large Language Models

Baljash Cheema; Jay A Pandit

doi:10.1016/j.jacadv.2024.101029

AI and Heart Failure: Present State and Future With Multimodal Large Language Models

Baljash Cheema^*, Jay A Pandit^*

^*Corresponding author for this work

Medicine, Cardiology Division

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Article number	101029
Journal	JACC: Advances
DOIs	https://doi.org/10.1016/j.jacadv.2024.101029
State	Accepted/In press - 2024

Keywords

artificial intelligence
heart failure
large language models
machine learning
multimodality data

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine
Dentistry (miscellaneous)

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10.1016/j.jacadv.2024.101029

Cite this

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title = "AI and Heart Failure: Present State and Future With Multimodal Large Language Models",

keywords = "artificial intelligence, heart failure, large language models, machine learning, multimodality data",

author = "Baljash Cheema and Pandit, {Jay A}",

year = "2024",

doi = "10.1016/j.jacadv.2024.101029",

language = "English (US)",

journal = "JACC: Advances",

issn = "2772-963X",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - AI and Heart Failure

T2 - Present State and Future With Multimodal Large Language Models

AU - Cheema, Baljash

AU - Pandit, Jay A

PY - 2024

Y1 - 2024

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KW - heart failure

KW - large language models

KW - machine learning

KW - multimodality data

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DO - 10.1016/j.jacadv.2024.101029

M3 - Editorial

AN - SCOPUS:85197046823

SN - 2772-963X

JO - JACC: Advances

JF - JACC: Advances

M1 - 101029

ER -

AI and Heart Failure: Present State and Future With Multimodal Large Language Models

Keywords

ASJC Scopus subject areas

Access to Document

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