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

Cancer Survivorship (457) Participatory Medicine & E-Patients (1005) Innovations and Technology in Cancer Care (705) Cancer Self-Management (124) Chatbots and Conversational Agents (1214) Artificial Intelligence (4944)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77390, first published .
Person using a smartphone with a chat interface, showing AI-generated text responses

Evaluation of Cancer Survivors’ Experience of Using AI-Based Conversational Tools: Qualitative Study

Evaluation of Cancer Survivors’ Experience of Using AI-Based Conversational Tools: Qualitative Study

Authors of this article:

Saif Khairat1, 2, 3 Author Orcid Image ;   Hanna Mehraby1, 2 Author Orcid Image ;   Safoora Masoumi1 Author Orcid Image ;   Melissa Coffel2 Author Orcid Image ;   Callie Rockey-Bartlett2, 4 Author Orcid Image ;   Andrea Huang2, 4 Author Orcid Image ;   William Wood3 Author Orcid Image ;   Ethan Basch3 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

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  1. Cui S, Wang S, Deng J, Jia R, Jiang Y. Facilitators and Barriers of Using an Artificial Intelligence Agent in Chronic Disease Management: A Normalization Process Theory-Guided Qualitative Study of Older Patients with COPD. Healthcare 2026;14(2):268 View
  2. Hou J, Zhang Z, Cheng X, Wang W. Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory. Journal of Medical Internet Research 2026;28:e85663 View
  3. Wang X, Li L, Cai X, Luo W, Shen M, Zuo Y, Zhang J, Bai Z, Yao Y, Zhang M, Zhang Y. Preparedness for generative AI adoption among Chinese cancer survivors: a multi-center cross-sectional survey study. Frontiers in Public Health 2026;14 View
  4. King A, Banks A, Hernández L, Thompson S, Stevens L, Potter L, Kaphingst K, Estabrooks P, Del Fiol G, Wetter D, Schlechter C. An Acceptance Criteria Framework for Determining the Implementation Fit of Custom Large Language Models in Public Health Interventions. Journal of Medical Internet Research 2026;28:e92356 View
  5. Shah S, Tate S, Dunn M, Milowsky M, Lazard A, Song L, Usinger D, Vu M, Cross M, DeSelm R, Gerstel A, Tan H. Online support needs and preferences for survivors of testicular cancer: a qualitative descriptive study. Supportive Care in Cancer 2026;34(9) View
  6. Wang T, Wang H, Li M, Bressington D, Terry D, Wang G, Kwok W, (Benjamin) Tan J. Application of Artificial Intelligence (AI) in cancer symptom management for adult cancer survivors: a scoping review. International Journal of Medical Informatics 2026;221:106643 View
  7. 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
  8. AlSamhori J, AlSamhori A, Amourah R, Aldweik H, AlSamhori A, Holy L, Zakraoui R, Alomari S, Shahait A. Potential Use of AI Chatbots by Patients With Bowel Tumors: Opportunities and Implications for Low- and Middle-Income Countries. Cureus 2026 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. Shen Z, Shi S, Mao L, Li C, Xie J. Conversational Artificial Intelligence Agents for Psychological Support in Patients With Cancer: A Scoping Review of Technologies, Support Content, Evaluation Outcomes, and Safety Governance (Preprint). Journal of Medical Internet Research 2026 View
  11. Kantabanlang Y, Kanzawa-Lee G, Pozzar R, Knoerl R. Exploring young adult cancer survivors’ perspectives on generative AI chatbots for symptom support. Supportive Care in Cancer 2026;34(10) View