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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75648, first published .
Close-up of a computer screen displaying ChatGPT interface with capabilities and limitations.

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Journals

  1. Uzoagba N, Oladokun B, Dumbiri R, Abdullahi F. How Public Library Users Perceive the Use of Generative AI Models for Information Seeking in Nigeria: A Cross-Sectional Survey. Public Library Quarterly 2026:1 View
  2. Alon L, Levkovich I. Consumer and Patient Health Information Seeking with Generative AI Tools: A Scoping Review of Facilitators and Barriers (Preprint). Journal of Medical Internet Research 2026 View
  3. Zhu H, Ding J. Why do I use generative artificial intelligence (GenAI) to seek health information? A perceptual perspective of GenAI users. Frontiers in Public Health 2026;14 View
  4. Şimşek A, Güneş Z. Generative AI use and social disparities in pediatric rehabilitation: a cross-sectional study of ChatGPT use among parents of children with speech and language disorders in Türkiye. Frontiers in Public Health 2026;14 View
  5. Ebner F, Schneider U, Schneider C, Trukeschitz B. User Acceptance of Remote Care Assist, a Telecare System for Home Care Among Care and Nursing Staff: Cross-Sectional Pilot Study. JMIR Rehabilitation and Assistive Technologies 2026;13:e80514 View
  6. Wilson T. Modelling the impact of generative artificial intelligence on information behaviour research. Journal of Documentation 2026;82(7):376 View