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

Diabetes Self-Management (463) JMIR Theme Issue: COVID-19 Special Issue (2390) Theme Issue 2022: Chatbots and COVID-19 (41) Apps, Mobile, Wearables for Diabetes (288)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40641, first published .
Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot

Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot

Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot

Authors of this article:

Anna Boggiss1 Author Orcid Image ;   Nathan Consedine1 Author Orcid Image ;   Sarah Hopkins1 Author Orcid Image ;   Connor Silvester2 Author Orcid Image ;   Craig Jefferies3 Author Orcid Image ;   Paul Hofman4 Author Orcid Image ;   Anna Serlachius1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Babbott K, Serlachius A. Developing digital mental health tools for youth with diabetes: an agenda for future research. Frontiers in Clinical Diabetes and Healthcare 2023;4 View
  2. Yang H, Wang F, Greenblatt M, Huang S, Zhang Y. AI Chatbots in Clinical Laboratory Medicine: Foundations and Trends. Clinical Chemistry 2023;69(11):1238 View
  3. Chakraborty C, Pal S, Bhattacharya M, Dash S, Lee S. Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence 2023;6 View
  4. Chakraborty C, Bhattacharya M, Pal S, Lee S. From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare. Current Research in Biotechnology 2024;7:100164 View
  5. Ma Y, Achiche S, Pomey M, Paquette J, Adjtoutah N, Vicente S, Engler K, Laymouna M, Lessard D, Lemire B, Asselah J, Therrien R, Osmanlliu E, Zawati M, Joly Y, Lebouché B. Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study). JMIR Research Protocols 2024;13:e54668 View
  6. Arnold V, Purnat T, Marten R, Pattison A, Gouda H. Chatbots and COVID-19: Taking Stock of the Lessons Learned. Journal of Medical Internet Research 2024;26:e54840 View
  7. Anisha S, Sen A, Bain C. Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Human-like Virtual Health Carers in the Remote Management of Non-Communicable Diseases: A Scoping Review (Preprint). Journal of Medical Internet Research 2024 View