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

Chatbots and Conversational Agents (1167) Telehealth and Telemonitoring (3061) mHealth in a Clinical Setting (1138) Clinical Communication, Electronic Consultation and Telehealth (934) mHealth for Telemedicine and Homecare (865) Innovations and Technology in Cancer Care (679) Doctor-Patient Communication on Cancer, Prevention, and Screening (103) Artificial Intelligence (4741) Teleoncology (40)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67462, first published .
Person using a smartphone to chat, with social media icons floating above.

Application of AI Chatbot in Responding to Asynchronous Text-Based Messages From Patients With Cancer: Comparative Study

Application of AI Chatbot in Responding to Asynchronous Text-Based Messages From Patients With Cancer: Comparative Study

Authors of this article:

Xuexue Bai1, 2 Author Orcid Image ;   Shiyong Wang3 Author Orcid Image ;   Yuanli Zhao2 Author Orcid Image ;   Ming Feng2 Author Orcid Image ;   Wenbin Ma2 Author Orcid Image ;   Xiaomin Liu4 Author Orcid Image
Article Authors Cited by (13) Tweetations (1) Metrics

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  1. Haider S, Prabha S, Gomez Cabello C, Genovese A, Collaco B, Wood N, London J, Bagaria S, Tao C, Forte A. The Development and Evaluation of a Retrieval-Augmented Generation Large Language Model Virtual Assistant for Postoperative Instructions. Bioengineering 2025;12(11):1219 View
  2. Ozata D, Cingar Alpay K, Avlagi G, Bilgin S, Durak U, Ozata I, Calbay Deveci S, Avci S, Doventas A, Erdinçler U. AI-assisted PEG aftercare education for older adults: clinician-informed chatbot design (PEGAssist). European Geriatric Medicine 2025;17(2):829 View
  3. Raynaud C, Dematini L, Bibault J. Generative Artificial Intelligence for Medical Summarization in Prostate Cancer: Comparative Evaluation by Physicians and Patient Advocates—A Pilot Study. JCO Clinical Cancer Informatics 2026;10(2) View
  4. 郑 轲. From Experience to Intelligence: Research Progress on Artificial Intelligence-Enabled Cancer Symptom Management. Journal of Clinical Personalized Medicine 2026;05(02):547 View
  5. Guibert A, Vergez S, Dupret-Bories A, Vairel B, Sarini J, Rivière L, Modesto A, Piram L, Morisseau M, Chabrillac E. Usefulness of routine clinical follow-up after oral cavity cancer treatment: a single-center retrospective study. European Journal of Surgical Oncology 2026;52(7):111863 View
  6. Mr. Varad Deokar, Mr. Atharva More , Mr. Manav Parmar, Prof. Kopal Gangrade . A Structured and Safety-Aware Conversational Framework Using Large Language Models and Retrieval-Augmented Generation for Mental Health Support. International Journal of Advanced Research in Science Communication and Technology 2026:770 View
  7. Margariti K, Mouratidis A, Voutsa M, Hatzithomas L, Boutsouki C. To smile or not to smile? Emoji-enhanced chatbots, brand coolness, and behavioral intention. Journal of Marketing Communications 2026:1 View
  8. Ebara M, Kawazoe Y, Seki T, Shinohara E, Nakazawa E, Ohe K. Quantifying ethical response in LLMs for medicine: corpus development, item response theory-based validation, and bias analysis toward patient attributes. AI and Ethics 2026;6(3) View
  9. Khosravi M, Izadi R. Mental health chatbots and their technical features: A systematic review of reviews and a thematic analysis. Cambridge Prisms: Global Mental Health 2026;13 View
  10. Rehman T, Jarrett P, Lesko J, Augustine J, Shy B, Sangal R, Genes N, Apakama D, Abbott E, Mehrotra A, Taylor R. An Evidence-Based Framework for Patient-Facing Artificial Intelligence Integration in the Emergency Department. JACEP Open 2026;7(5):100466 View
  11. Dığış M, Kaya K, Demir B, Çiçek İ, Akdağ D, Akdağ Ş. Frequency of use and attitudes toward AI-based health counseling among patients attending the dermatology outpatient clinic: a cross-sectional study. Cutaneous and Ocular Toxicology 2026:1 View
  12. Qiu D, Wang Q, Yan W, Yang S. Evaluation and comparison of large language model responses to common discharge questions from patients with acute coronary syndrome after percutaneous coronary intervention: An expert-rated comparative study. DIGITAL HEALTH 2026;12 View

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  1. Seth V, Pandey A, Gundlapalli K, Duvvuri M, Mettu R, Zachary I, Calyam P. 2025 Annual Computer Security Applications Conference Workshops (ACSAC Workshops). EmpathAI: A Trustworthy and Secure Conversational Agent for Mental Healthcare View