Published on in Vol 25 (2023)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50767, first published .
Conversational Agents in Health Care: Expert Interviews to Inform the Definition, Classification, and Conceptual Framework

Conversational Agents in Health Care: Expert Interviews to Inform the Definition, Classification, and Conceptual Framework

Conversational Agents in Health Care: Expert Interviews to Inform the Definition, Classification, and Conceptual Framework

Journals

  1. Choi S, Seo J, Hernandez M, Kitsiou S. Conversational agents in mHealth: use patterns, challenges, and design opportunities for individuals with visual impairments. Journal of Technology in Behavioral Science 2024;9(4):912 View
  2. Malgaroli M, Schultebraucks K, Myrick K, Andrade Loch A, Ospina-Pinillos L, Choudhury T, Kotov R, De Choudhury M, Torous J. Large language models for the mental health community: framework for translating code to care. The Lancet Digital Health 2025;7(4):e282 View
  3. MacNeill A, Luke A, Doucet S. Individual differences in views toward healthcare conversational agents: A cross-sectional survey study. DIGITAL HEALTH 2025;11 View
  4. Souza F, Bowman H, Yang F, Hesam‐Shariati N, Linke J, Gilanyi Y, Jones M, Z‐Pinto R, McAuley J, Rizzo R. Conversational Agents to Support Pain Management: A Scoping Review. European Journal of Pain 2025;29(5) View
  5. Barth J, Schläpfer S, Schneider F, Santhanam P, Kowatsch T, Heinz P, Held U, Eicher M, Witt C. Mobile health intervention CanRelax reduces distress in people with cancer in a randomized controlled trial. npj Digital Medicine 2025;8(1) View

Books/Policy Documents

  1. Lal M, Neduncheliyan S. Machine Learning Algorithms. View