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

Reviews on Innovations in Cancer (108) Innovations and Technology in Cancer Care (679) Artificial Intelligence (4741) Registered Report (1538) Cancer Prognosis Models and Machine Learning (137)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74010, first published .
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Patient Attitudes Toward Artificial Intelligence in Cancer Care: Scoping Review

Patient Attitudes Toward Artificial Intelligence in Cancer Care: Scoping Review

Authors of this article:

Daniel Hilbers1 Author Orcid Image ;   Navid Nekain1 Author Orcid Image ;   Alan Bates2, 3 Author Orcid Image ;   John-Jose Nunez2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Khairat S, Mehraby H, Masoumi S, Coffel M, Rockey-Bartlett C, Huang A, Wood W, Basch E. Evaluation of Cancer Survivors’ Experience of Using AI-Based Conversational Tools: Qualitative Study. JMIR Cancer 2025;11:e77390 View
  2. Bland K, Catalá-Vilaplana I, Nunez J, Capozzi L, Campbell K. Artificial Intelligence Meets Cancer Rehabilitation: Emerging Evidence for Exercise and Physical Activity Interventions. Cancer Control 2026;33 View
  3. Li X, Jing C, Gong Z, Zhang J, Zhang S. Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement. Frontiers in Digital Health 2026;8 View
  4. Menz B, Scarfo N, Cornelisse E, Shahnam A, Chin-Yee B, Rickard C, Haseloff M, Lau A, Ugalde A, Paterson C, Sorich M, Chan R, Rowland A, Hopkins A. Perspectives of People Affected by Cancer Toward Generative AI in Oncology: A Scoping Review of Applications, Evidence Gaps, and Future Priorities. European Journal of Cancer 2026:116990 View