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

Artificial Intelligence (2134) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (93) Bots and AI Approaches to Detect and Counter Misinformation (20) Generative Language Models Including ChatGPT (708) JMIR Theme Issue: COVID-19 Special Issue (2555)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66098, first published .
Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study

Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study

Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study

Authors of this article:

Hai Li1 Author Orcid Image ;   Jingyi Huang1 Author Orcid Image ;   Mengmeng Ji2 Author Orcid Image ;   Yuyi Yang3 Author Orcid Image ;   Ruopeng An4 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Joseph J, Jose B, Jose J. The generative illusion: how ChatGPT-like AI tools could reinforce misinformation and mistrust in public health communication. Frontiers in Public Health 2025;13 View
  2. Parameswaran V, Bernard J, Bernard A, Deo N, Tsung S, Lyytinen K, Sharp C, Rodriguez F, Maron D, Dash R. Evaluating Large Language Models and Retrieval-Augmented Generation Enhancement for Delivering Guideline-Adherent Nutrition Information for Cardiovascular Disease Prevention: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e78625 View
  3. Hack S, Gvili B, Tessler I, Yogev D, Wolfowitz A, Rozendorn N. Can Chatbots Please Both Patients and Experts? Benchmarking AI and Clinical Guidelines for Hearing Loss. Otology & Neurotology 2025 View
  4. Baur D, Ansorg J, Heyde C, Voelker A. Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods Study. JMIR AI 2025;4:e75262 View
  5. Haider S, Prabha S, Gomez Cabello C, Genovese A, Collaco B, Wood N, London J, Bagaria S, Tao C, Forte A. The Development and Evaluation of a Retrieval-Augmented Generation Large Language Model Virtual Assistant for Postoperative Instructions. Bioengineering 2025;12(11):1219 View
  6. Tung J, Le Q, Yao J, Huang Y, Lim D, Sng G, Lau R, Tan Y, Chen K, Tay K, Tan J, Yuen J, Cheng C, Ho H. Performance of Retrieval-Augmented Generation Large Language Models in Guideline-Concordant Prostate-Specific Antigen Testing: Comparative Study With Junior Clinicians. Journal of Medical Internet Research 2025;27:e78393 View