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

Consumer & Patient Education and Shared-Decision Making (862) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Artificial Intelligence (2129) Generative Language Models Including ChatGPT (708) AI Language Models in Health Care (202)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68560, first published .
Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Authors of this article:

Hye Sun Yun1 Author Orcid Image ;   Timothy Bickmore1 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. 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
  2. Lim J, Hong N. Perceived Search Overload, Generative AI Credibility, and Comparative Usefulness: A Channel Complementarity Approach to Health Information Seeking. Health & New Media Research 2025;9(1):124 View
  3. Kring T, Prasad S, Dadi S, Sokhn E, Franzmann E. A comparison of quality and readability of Artificial Intelligence chatbots in triage for head and neck cancer. American Journal of Otolaryngology 2025;46(5):104710 View
  4. Dagi A, Jones N, Bogue J. When does ChatGPT refer someone to a plastic surgeon?. Journal of Plastic, Reconstructive & Aesthetic Surgery 2025;109:20 View
  5. Qiu L, Tang C, Bi X, Burtch G, Chen Y, Zhang H. Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data. Journal of Medical Internet Research 2025;27:e76941 View
  6. Chen T, Li Q, Zhao D, Zhang W, Chen Y, Yang J, Pu C, Fu Q. Utilisation of AI-driven chatbots for perioperative health information seeking: a descriptive qualitative study of orthopaedic patients and family members. BMJ Open 2025;15(9):e099824 View
  7. Mattingly T. Substitute Economics and the Threat of Artificial Intelligence Providing Pharmaceutical Care. American Journal of Pharmaceutical Education 2025;89(10):101867 View
  8. 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
  9. Sandra D, Segal Z, Majoo S, Sistanis A, Burke M, Inzlicht M. Inform and do no harm: Nocebo education reduces false self-diagnosis caused by mental health awareness. Psychological Medicine 2025;55 View
  10. Fraile Navarro D, Lewis M, Blease C, Shah R, Riggare S, Delacroix S, Lehman R. Generative AI and the changing dynamics of clinical consultations. BMJ 2025;391:e085325 View
  11. Schuss P, Gonschorek A, Kämper M, Lemcke J, Meisel H, Rogge W, Schaan M, Schwenkreis P, Strowitzki M, Wohlfahrt K, Schmehl I. Artificial Intelligence Chatbot Responses to Patient Queries on Traumatic Brain Injury: An Expert Assessment of Reliability and Accuracy. Journal of Neurotrauma 2025 View