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](https://asset.jmir.pub/assets/7d03ec7e515d818d26535015c8a4f743.png 480w,https://asset.jmir.pub/assets/7d03ec7e515d818d26535015c8a4f743.png 960w,https://asset.jmir.pub/assets/7d03ec7e515d818d26535015c8a4f743.png 1920w,https://asset.jmir.pub/assets/7d03ec7e515d818d26535015c8a4f743.png 2500w)
Journals
- 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
- 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
- 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
- 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