Search Articles

View query in Help articles search

Search Results (1 to 10 of 95 Results)

Download search results: CSV END BibTex RIS


Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives

Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives

The research data were obtained from responses to open-ended questions included in a cross-sectional, web-based survey examining the use of open-source AID systems. The survey, titled DIWHY, was conducted between November 2018 and March 2019 [26]. The survey (Multimedia Appendix 1) was created by the OPEN consortium in collaboration with further open-source AID system users and was piloted with a small group of them before final release.

Bryan Cleal, Yanbing Chen, Mandy Wäldchen, Hanne Ballhausen, Drew Cooper, Shane O'Donnell, Christine Knoll, Niklas Krug, Klemens Raile, Tebbe Ubben, Adrian Tappe, Dana Lewis, Ingrid Willaing, Timothy Skinner, Katarina Braune

J Med Internet Res 2025;27:e48406

Use of AI in Mental Health Care: Community and Mental Health Professionals Survey

Use of AI in Mental Health Care: Community and Mental Health Professionals Survey

Future research could build on these preliminary findings with larger and more diverse samples, potentially through cross-jurisdictional studies that can provide a more comprehensive view of the impact of AI on mental health care. Our study underscores the promise and challenges of AI in mental health care. As AI tools evolve, it is essential that they are developed with ethics, inclusivity, accuracy, safety and the genuine needs of end users in mind.

Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

JMIR Ment Health 2024;11:e60589