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

Artificial Intelligence (5113) Participatory Medicine & E-Patients (1018) Consumer & Patient Education and Shared-Decision Making (1312) Natural Language Processing (1357) Consumer Health Informatics Innovations (50) Health Information Governance (134)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93944, first published .
Young businesswoman using smartphone outdoors in city

Consumer and Patient Health Information Seeking With Generative AI Tools: Scoping Review of Facilitators and Barriers

Consumer and Patient Health Information Seeking With Generative AI Tools: Scoping Review of Facilitators and Barriers

Authors of this article:

Lilach Alon1 Author Orcid Image ;   Inbar Levkovich1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Cao Y, Liu Z, Wang N, Chen M, Wang H. Text-based nutrient estimation by large language models: a comparative evaluation against the Chinese Food Composition Table. Frontiers in Nutrition 2026;13 View
  2. Kim J, Parkhouse A, Leung R. Health-Related Generative AI Use Alongside and Beyond Professional Care: A Qualitative Content Analysis of Reddit Posts. Healthcare 2026;14(20):3429 View