This paper is in the following e-collection/theme issue:

Tutorial (78) Artificial Intelligence (2129) AI Language Models in Health Care (202) Cardiovascular Disease Prevention (206) Generative Language Models Including ChatGPT (708) HIV/AIDS/STI Prevention and Care (1043) Patient Education in Cardiology (45) Prevention and Health Promotion (1362)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77053, first published .
Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

Authors of this article:

Ryan Rullo1 Author Orcid Image ;   Ali Maatouk2 Author Orcid Image ;   Tinglin Huang2 Author Orcid Image ;   Jialin Chen2 Author Orcid Image ;   Weikang Qiu2 Author Orcid Image ;   Giselle O'Connor1 Author Orcid Image ;   Julie Womack1, 3 Author Orcid Image ;   Tatiana Sadak1 Author Orcid Image ;   Christine Rodriguez1 Author Orcid Image ;   Pedro Carneiro1 Author Orcid Image ;   Tania de Jesus Espinosa1 Author Orcid Image ;   Ami Marshall1 Author Orcid Image ;   Rex Ying2 Author Orcid Image ;   S Raquel Ramos1, 4 Author Orcid Image
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Journals

  1. Zeng H, Liu G, Liu W, Zou S, Chen B, Yang R, Lin F, Peng J, Gao Y, Hao L. Evaluation of large language models in the clinical management of multiple chronic conditions: A comparative study of DeepSeek-R1 and ChatGPT-o1. Public Health 2025;249:106042 View