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

Chatbots and Conversational Agents (592) Digital Health, Telehealth and e-Innovation in Clinical Settings (458) Theoretical Frameworks and Concepts (284) Mobile Health (mhealth) (3087) Research Instruments, Questionnaires, and Tools (634)

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

Authors of this article:

Laura Martinengo1 Author Orcid Image ;   Xiaowen Lin1 Author Orcid Image ;   Ahmad Ishqi Jabir1, 2 Author Orcid Image ;   Tobias Kowatsch2, 3, 4, 5 Author Orcid Image ;   Rifat Atun6 Author Orcid Image ;   Josip Car7, 8 Author Orcid Image ;   Lorainne Tudor Car1, 8 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

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 View

Books/Policy Documents

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