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

Applications of AI (230) Artificial Intelligence (1960) Ethical, Legal, and Social Issues in AI (89)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46487, first published .
Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

Authors of this article:

Renee Robinson1 Author Orcid Image ;   Cara Liday2 Author Orcid Image ;   Sarah Lee3 Author Orcid Image ;   Ishan C Williams4 Author Orcid Image ;   Melanie Wright3 Author Orcid Image ;   Sungjoon An3 Author Orcid Image ;   Elaine Nguyen3 Author Orcid Image
Article Authors Cited by (11) Tweetations (3) Metrics

Journals

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  2. Rony M, Alrazeeni D, Akter F, Nesa L, Chandra Das D, Uddin M, Begum J, Tahmina Khatun M, Noor M, Ahmad S, Tanha S, Deb T, Rina Parvin M. The role of artificial intelligence in enhancing nurses' work-life balance. Journal of Medicine, Surgery, and Public Health 2024;3:100135 View
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  5. Stroud A, Miller J, Barry B. Cultivating Patient-Centered Healthcare Artificial Intelligence Transparency: Considerations for AI Documentation. The American Journal of Bioethics 2025;25(3):129 View
  6. Ahluwalia V, Schapira M, Weissman G, Parikh R. Primary Care Provider Preferences Regarding Artificial Intelligence in Point-of-Care Cancer Screening. MDM Policy & Practice 2025;10(1) View
  7. Persson V, Lovén Wickman U. Artificial Intelligence as a Tool for Self-Care in Patients with Type 1 and Type 2 Diabetes—An Integrative Literature Review. Healthcare 2025;13(8):950 View
  8. Stroud A, Minteer S, Zhu X, Ridgeway J, Miller J, Barry B, Ghasemi H. Patient information needs for transparent and trustworthy cardiovascular artificial intelligence: A qualitative study. PLOS Digital Health 2025;4(4):e0000826 View
  9. Shankar R, Devi F, Ang E, Er J. Barriers and facilitators to nurses’ adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies. BMJ Open 2025;15(8):e099875 View

Books/Policy Documents

  1. Otto C, Hamid A, Brown S. Innovations in Cardio-Oncology. View
  2. Echefu G, Jacobson R, Nwaedozie S, Brown S. Innovations in Cardio-Oncology. View