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

Applications of AI (259) Generative Language Models Including ChatGPT (649) JMIR Theme Issue: COVID-19 Special Issue (2543) Chatbots and Conversational Agents (706) Machine Learning (2004) Development and Evaluation of Research Methods, Instruments and Tools (707) Ontologies, Classifications, and Coding (315) Health Risk and Perception in Cognitive Reasoning (26)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67363, first published .
Generative Large Language Model—Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19

Generative Large Language Model—Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19

Generative Large Language Model—Powered Conversational AI App for Personalized Risk Assessment: Case Study in COVID-19

Authors of this article:

Mohammad Amin Roshani1 Author Orcid Image ;   Xiangyu Zhou1 Author Orcid Image ;   Yao Qiang2 Author Orcid Image ;   Srinivasan Suresh3 Author Orcid Image ;   Steven Hicks4 Author Orcid Image ;   Usha Sethuraman5 Author Orcid Image ;   Dongxiao Zhu1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Salboukh F, Mousavi Y, Beklan Kucukdemiral I, Fekih A, Cali U. Reliability Assessment and Condition Monitoring of Wind Energy Conversion Systems Using Bayesian Networks: Recent Advances and Key Insights. IEEE Access 2025;13:104472 View
  2. Chung S, Giuffrè M, Rajashekar N, Pu Y, Shin Y, Kresevic S, Chan C, Nakamura-Sakai S, You K, Saarinen T, Hsiao A, Wong A, Evans L, McCall T, Kizilcec R, Sekhon J, Laine L, Shung D. Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding. npj Digital Medicine 2025;8(1) View