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

^*Corresponding author for this work

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

3 Scopus citations

Original language	English
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
Externally published	Yes

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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 = "אנגלית",

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pages = "105--108",

journal = "Mayo Clinic Proceedings: Digital Health",

issn = "2949-7612",

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number = "2",

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T1 - Leveraging Large Language Models to Enhance Digital Health in Cardiology

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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UR - https://www.scopus.com/pages/publications/85201126384

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DO - 10.1016/j.mcpdig.2023.03.003

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SN - 2949-7612

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JO - Mayo Clinic Proceedings: Digital Health

JF - Mayo Clinic Proceedings: Digital Health

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