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

Chatbots and Conversational Agents (740) Clinical Communication, Electronic Consultation and Telehealth (758) Artificial Intelligence (2129) mHealth in a Clinical Setting (743) Doctor-Patient Communication on Cancer, Prevention, and Screening (78) Innovations and Technology in Cancer Care (531) Telehealth and Telemonitoring (2088) mHealth for Telemedicine and Homecare (531) Teleoncology (28)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67462, first published .
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

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 (2) Tweetations Metrics

Journals

  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 View