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

Chatbots and Conversational Agents (740) JMIR Theme Issue: COVID-19 Special Issue (2554) Early Results from COVID-19 Studies (363) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Generative Language Models Including ChatGPT (708) Theme Issue 2022: Chatbots and COVID-19 (42)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49771, first published .
Potential and Limitations of ChatGPT 3.5 and 4.0 as a Source of COVID-19 Information: Comprehensive Comparative Analysis of Generative and Authoritative Information

Potential and Limitations of ChatGPT 3.5 and 4.0 as a Source of COVID-19 Information: Comprehensive Comparative Analysis of Generative and Authoritative Information

Potential and Limitations of ChatGPT 3.5 and 4.0 as a Source of COVID-19 Information: Comprehensive Comparative Analysis of Generative and Authoritative Information

Authors of this article:

Guoyong Wang1, 2 Author Orcid Image ;   Kai Gao3 Author Orcid Image ;   Qianyang Liu2 Author Orcid Image ;   Yuxin Wu1 Author Orcid Image ;   Kaijun Zhang1 Author Orcid Image ;   Wei Zhou2 Author Orcid Image ;   Chunbao Guo2 Author Orcid Image
Article Authors Cited by (21) Tweetations (4) Metrics

Journals

  1. Marshall R, Mallem K, Xu H, Thorne J, Burkholder B, Chaon B, Liberman P, Berkenstock M. Investigating the Accuracy and Completeness of an Artificial Intelligence Large Language Model About Uveitis: An Evaluation of ChatGPT. Ocular Immunology and Inflammation 2024;32(9):2052 View
  2. Meo S, Alotaibi M, Meo M, Meo M, Hamid M. Medical knowledge of ChatGPT in public health, infectious diseases, COVID-19 pandemic, and vaccines: multiple choice questions examination based performance. Frontiers in Public Health 2024;12 View
  3. Li K, Fernandez A, Schwartz R, Rios N, Carlisle M, Amend G, Patel H, Breyer B. Comparing GPT-4 and Human Researchers in Health Care Data Analysis: Qualitative Description Study. Journal of Medical Internet Research 2024;26:e56500 View
  4. Holland A, Lorenz W, Cavanagh J, Smart N, Ayuso S, Scarola G, Kercher K, Jorgensen L, Janis J, Fischer J, Heniford B. Comparison of Medical Research Abstracts Written by Surgical Trainees and Senior Surgeons or Generated by Large Language Models. JAMA Network Open 2024;7(8):e2425373 View
  5. Tong L, Zhang C, Liu R, Yang J, Sun Z. Comparative performance analysis of large language models: ChatGPT-3.5, ChatGPT-4 and Google Gemini in glucocorticoid-induced osteoporosis. Journal of Orthopaedic Surgery and Research 2024;19(1) View
  6. Pap I, Oniga S. eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication. Sensors 2024;24(18):6140 View
  7. Stephan D, Bertsch A, Burwinkel M, Vinayahalingam S, Al-Nawas B, Kämmerer P, Thiem D. AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study. Journal of Medical Internet Research 2024;26:e60684 View
  8. Yu Y, Gomez-Cabello C, Makarova S, Parte Y, Borna S, Haider S, Genovese A, Prabha S, Forte A. Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules. Bioengineering 2024;12(1):17 View
  9. Lin J, Hua Z, Zhang L, Lin Y, Ding Y, Chen X, Li S, Wang Y, Li Q. A narrative review of applications and enhancements of ChatGPT in respiratory medicine. Clinical eHealth 2024;7:200 View
  10. Beheshti M, Toubal I, Alaboud K, Almalaysha M, Ogundele O, Turabieh H, Abdalnabi N, Boren S, Scott G, Dahu B. Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review. Informatics 2025;12(1):9 View
  11. Tan D, Huang Y, Liu M, Li Z, Wu X, Huang C. Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study. Journal of Medical Internet Research 2025;27:e70733 View
  12. Huang H, Shu S. The effectiveness of ChatGPT in pediatric simulation-based tests of nursing courses in Taiwan: A descriptive study. Clinical Simulation in Nursing 2025;102:101732 View
  13. Rebitschek F, Carella A, Kohlrausch-Pazin S, Zitzmann M, Steckelberg A, Wilhelm C. Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information. npj Digital Medicine 2025;8(1) View
  14. Alkalbani A, Alrawahi A, Salah A, Haghighi V, Zhang Y, Alkindi S, Sheng Q. A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions. Information 2025;16(6):489 View
  15. Liang Z, Kuang Y, Liang X, Liang G, Li Z. A Comparative Study of the Accuracy and Readability of Responses from Four Generative AI Models to COVID-19-Related Questions. COVID 2025;5(7):99 View
  16. Çakar M, Avcı A, Düzgün S, Aslan T, Hekimoğlu K. Assessment of the Accuracy of Modern Artificial Intelligence Chatbots in Responding to Endodontic Queries. Australian Endodontic Journal 2025 View
  17. Chua A, Chen M, Kan M, Seoh W. Digital prejudices: an analysis of gender, racial and religious biases in generative AI chatbots. Internet Research 2025:1 View
  18. Park S, Nan X. Generative AI and misinformation: a scoping review of the role of generative AI in the generation, detection, mitigation, and impact of misinformation. AI & SOCIETY 2025 View
  19. Wang S, Gao H, Lin P, Qian T, Du Y, Xu L. Evaluating chat generative pretrained transformer in answering questions on endoscopic mucosal resection and endoscopic submucosal dissection. World Journal of Gastrointestinal Oncology 2025;17(10) View
  20. Awasthi R, Bhattad A, Ramachandran S, Mishra S, Khanna A, Cywinski J, Maheshwari K, Mahapatra D, DiRosa I, Cohen A, Arshad H, Atreja A, Alshukaili A, Vohra A, Singh N, Papay F, Atreja A, Kashyap R, Mathur P. Human evaluation of large language models in healthcare: gaps, challenges, and the need for standardization. npj Health Systems 2025;2(1) View
  21. Wang G, Zhang Y, Wang W, Zhu Y, Lu W, Wang C, Bi H, Yang X. Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language Models. JMIR AI 2025;4:e76372 View