Work

Abstract 4144833: Large Language Models Improve Readability in Primary Responses to Coronary Artery Bypass Graft Questions for Patient Education

Year: 2024

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.150.suppl_1.4144833

Authors: Venkata Paruchuri, Dhaval Patel, Alexander Fang, Ethan Levitch, Conor Kiely, Karmveer Kaur, Amit Sikder

Institution: The University of Queensland

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: closed

OpenAlex ID: W4404358813

Cites:

Cited by:

Related to: 10