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

Reviews on Innovations in Cancer (112) Innovations and Technology in Cancer Care (705) Artificial Intelligence (4944) Registered Report (1569) Cancer Prognosis Models and Machine Learning (142)

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 (11) 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;246:116990 View
  5. Carstensen F, Irankunda B, Molan D, van den Bongard D, Maraldo M. Mapping patients’ and professionals’ perceptions of artificial intelligence in radiotherapy: a scoping review. Technical Innovations & Patient Support in Radiation Oncology 2026;40:100430 View
  6. Lei Q, Wu T, Zhang C, Zheng Y. Artificial intelligence in hepatocellular carcinoma diagnosis and AI-assisted treatment support: Current landscape and future directions. Liver Research 2026;10(3):189 View
  7. Ismayilov R, Oguz A, Zenger G, Boluk S, Farzaliyeva A, Ramazanoglu M, Akcali Z, Altundag O. The use of generative AI tools among individuals with cancer and their caregivers: a cross-sectional study of awareness, attitudes, and experiences. Supportive Care in Cancer 2026;34(10) View
  8. Banerjee A, Rawlinson J, Baldwin D, Woznitza N. Patient preferences for the use of AI in chest X-ray result processing and communication. Radiography 2026;32(7):103554 View
  9. Alemdar M, Çolak Y, Günbayı İ, Mutlu H. The Use of Artificial Intelligence Chatbots by Newly Diagnosed Cancer Patients: A Descriptive Phenomenological Study. Current Oncology 2026;33(9):563 View
  10. Yildirim D, Kocatepe V, Tüzün Özdemir S, Türkmenoğlu A, Önsüz Ü. Psychometric Evaluation of the Artificial Intelligence Perception Scale for Cancer Patients: A Structural Equation Modeling Approach. Journal of Evaluation in Clinical Practice 2026;32(6) View
  11. Smith M, Reeder S, Waugh F, Sivathamboo S, Foster E, Thom D, Chen Z, Kwan P, Lannin N. Acceptance of Machine Learning for Medication Selection in Epilepsy to Inform Clinical Trial Design: Co-Design Survey Study. JMIR AI 2026;5:e85047 View