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Abstract 4369198: Performance of Large Language Models in Analyzing Common Hypertension Scenarios in Clinical Practice

Year: 2025

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.152.suppl_3.4369198

Authors: Jaleh Zand, Jing Miao, Musab Hommos, Gary Schwartz, Sandra Taler, Peyman Nejat, cheungpasitporn wisit, Ziad Zoghby

Institutions: Mayo Clinic, Mayo Clinic in Arizona

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4415799577

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