Published on in Vol 12 (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/42965, first published .
Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study

Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study

Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study

Journals

  1. Kallis C, Calvo R, Schuller B, Quint J. Development of an Asthma Exacerbation Risk Prediction Model for Conversational Use by Adults in England. Pragmatic and Observational Research 2023;Volume 14:111 View
  2. Talyshinskii A, Naik N, Hameed B, Juliebø-Jones P, Somani B. Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence. Current Urology Reports 2024;25(1):9 View
  3. Anisha S, Sen A, Bain C. Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e56114 View
  4. Cook D, Peters D, Moradbakhti L, Su T, Da Re M, Schuller B, Quint J, Wong E, Calvo R. A text-based conversational agent for asthma support: Mixed-methods feasibility study. DIGITAL HEALTH 2024;10 View