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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76968, first published .
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The Effectiveness and Feasibility of Conversational Agents in Supporting Care for Patients With Cancer: Systematic Review and Meta-Analysis

The Effectiveness and Feasibility of Conversational Agents in Supporting Care for Patients With Cancer: Systematic Review and Meta-Analysis

Journals

  1. Huynh A, Roy T, Jackson K, Lee A, Liaw W, Hossain M. Applications of artificial intelligence-based conversational agents in healthcare: A systematic umbrella review. International Journal of Medical Informatics 2026;207:106204 View
  2. Xiang B, Yan Z, Wei H, Shi J. The technological and societal co-evolution landscape of AI medical conversational agents: An LLM-enhanced quantitative textual review. Expert Systems with Applications 2026;318:132026 View
  3. Uzun S, Günay D. Telemedicine and Virtual Reality Technologies in Pain Management for Cancer Patients: A Structured Narrative Review. Current Treatment Options in Oncology 2026;27(1) View
  4. Jeong Y, Cha H, Suh E. Multiturn Large Language Model–Based Conversational Agents for Patients With Cancer and Caregivers: Scoping Review. JMIR Cancer 2026;12:e96241 View
  5. Giansanti D, Lastrucci A. AI- and Generative AI-Driven Digital Therapeutics: A Critical Narrative Review of Emerging Evidence. AI 2026;7(8):296 View
  6. 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
  7. Sodergren S, Collaço N. Use of digital technologies to deliver supportive care to adolescents and young adults following treatment for cancer. Current Opinion in Supportive & Palliative Care 2026 View

Conference Proceedings

  1. Yeganeh M, Fricker S, Leber T, Barber D. 2026 IEEE 34th International Requirements Engineering Conference Workshops (REW). Towards Empathy Tuning of LLM-Based Conversational Agent View