Leveraging Large Language Models to Enhance Digital Health in Cardiology: A Preview of a Cutting-Edge Language Generation Model

Eyal Klang; Michal Cohen-Shelly; Francisco Lopez-Jimenez

doi:10.1016/j.mcpdig.2023.03.003

Leveraging Large Language Models to Enhance Digital Health in Cardiology: A Preview of a Cutting-Edge Language Generation Model

Eyal Klang, Michal Cohen-Shelly, Francisco Lopez-Jimenez

Cardiovascular Medicine

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

Original language	English (US)
Pages (from-to)	105-108
Number of pages	4
Journal	Mayo Clinic Proceedings: Digital Health
Volume	1
Issue number	2
DOIs	https://doi.org/10.1016/j.mcpdig.2023.03.003
State	Published - Jun 2023

ASJC Scopus subject areas

Health Informatics
Internal Medicine
Dentistry (miscellaneous)

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10.1016/j.mcpdig.2023.03.003

Cite this

@article{0ceb965332aa4703862092d43cf1bdba,

title = "Leveraging Large Language Models to Enhance Digital Health in Cardiology: A Preview of a Cutting-Edge Language Generation Model",

author = "Eyal Klang and Michal Cohen-Shelly and Francisco Lopez-Jimenez",

year = "2023",

month = jun,

doi = "10.1016/j.mcpdig.2023.03.003",

language = "English (US)",

volume = "1",

pages = "105--108",

journal = "Mayo Clinic Proceedings: Digital Health",

issn = "2949-7612",

publisher = "Elsevier B.V.",

number = "2",

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T2 - A Preview of a Cutting-Edge Language Generation Model

AU - Klang, Eyal

AU - Cohen-Shelly, Michal

AU - Lopez-Jimenez, Francisco

PY - 2023/6

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DO - 10.1016/j.mcpdig.2023.03.003

M3 - Letter

AN - SCOPUS:85201126384

SN - 2949-7612

VL - 1

SP - 105

EP - 108

JO - Mayo Clinic Proceedings: Digital Health

JF - Mayo Clinic Proceedings: Digital Health

IS - 2

ER -

Leveraging Large Language Models to Enhance Digital Health in Cardiology: A Preview of a Cutting-Edge Language Generation Model

ASJC Scopus subject areas

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