Scientific Sessions 2024  /  Getting the Most Out of ChatGPT and Other Large Language Models in Cardiology  /  Leveraging Large Language Models to Enhance Digital Health in Cardiology
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American Heart Association

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Leveraging Large Language Models to Enhance Digital Health in Cardiology

  • Lopez-jimenez, Francisco  ( MAYO CLINIC COLL MEDICINE , Rochester , Minnesota , United States )
  • Khera, Rohan  ( Yale School of Medicine , New Haven , Connecticut , United States )
    • Author Disclosures:
    Francisco Lopez-Jimenez: DO have relevant financial relationships ; Employee:Mayo Clinic:Active (exists now) ; Advisor:Select Research:Active (exists now) ; Advisor:WizeCare:Active (exists now) ; Consultant:Kento Health:Active (exists now) ; Advisor:Novo Nordisk:Active (exists now) | Rohan Khera: DO have relevant financial relationships ; Research Funding (PI or named investigator):Bristol-Myers Squibb:Active (exists now) ; Ownership Interest:Ensight-AI, Inc:Active (exists now) ; Ownership Interest:Evidence2Health LLC:Active (exists now) ; Research Funding (PI or named investigator):BridgeBio:Active (exists now) ; Research Funding (PI or named investigator):Novo Nordisk:Active (exists now)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Getting the Most Out of ChatGPT and Other Large Language Models in Cardiology

Saturday, 11/16/2024 , 01:30PM - 02:45PM

Cardiovascular Seminar

More abstracts on this topic:
What are large language models and what options are available?

Van Assen Marly, Lopez-jimenez Francisco

Implementing LLMs in clinical workflows: Challenges and opportunities.

Asselbergs Folkert, Basit Mujeeb

More abstracts from these authors:
Intro: Outcomes Researcher and their Critical Role in the Era of AI

Khera Rohan

What are large language models and what options are available?

Van Assen Marly, Lopez-jimenez Francisco

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