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

Viewpoints on Innovations in Cancer Care and Research (36) eHealth Literacy / Digital Literacy (879) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (977) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2367) User-Centered Design Case Studies (845) Innovations and Technology in Cancer Care (679) Patient Education for Cancer (327) mHealth for Patient Education (418) Design and Usability of Websites for Special User Groups (291) Cancer Self-Management (122) Formative Evaluation of Digital Health Interventions (5109) Artificial Intelligence (4744) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (806) Vulnerable Populations in Health Research (349)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68516, first published .
Nurse showing a senior man how to use a smartphone for telehealth

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb

Authors of this article:

Darren Liu1, 2, 3 Author Orcid Image ;   Yufen Lin2, 4 Author Orcid Image ;   Runze Yan2, 3 Author Orcid Image ;   Zhiyuan Wang5 Author Orcid Image ;   Delgersuren Bold2, 3 Author Orcid Image ;   Xiao Hu2, 3, 6 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Kim E, Gowin K, Reb A, Sandhu D, Veguilla E, Zachariah F, Lee R. Artificial Intelligence in Supportive Oncology and Symptom Management Opportunities. The Cancer Journal 2025;31(6) View
  2. Kantabanlang Y, Hwang M, Krauss J, Jiang Y. Artificial Intelligence in Colorectal Cancer Supportive Care: A Scoping Review. Seminars in Oncology Nursing 2026;42(1):152079 View
  3. Song M, Li M, Tu L, Yang J. Effects of digital health interventions on anxiety, depression, and quality of life in colorectal cancer patients: a meta-analysis of randomized controlled trials. Frontiers in Oncology 2026;16 View
  4. Husain L, Mullins M, Etingen B, Zafar R, Siddiqui M, Jackson G. AI-Enhanced Predictive Analytics to Optimize Tele-Oncology Implementation in Rural Settings: Scoping Review. JMIR Cancer 2026;12:e78005 View
  5. 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