Applications of artificial intelligence-based conversational agents in healthcare: A systematic umbrella review
It remains challenging to draw conclusions regarding the overall effectiveness of current AI-based CAs applications in healthcare domain, calling for transparency and standardization in CAs development practice. Moreover, some healthcare domains are more heavily studied than the others, causing an imbalance. Scholarly works on the understudied areas are critical to ensure successful implementation of AI-based CAs.
Authors
- Winston Liaw (ORCID: https://orcid.org/0000-0002-7865-1685)
- Md Mahbub Hossain (ORCID: https://orcid.org/0000-0002-7059-7768)
- Andrew Lee (ORCID: https://orcid.org/0000-0002-9795-3793)
- K. Jackson
- Tamal Joyti Roy (ORCID: https://orcid.org/0000-0002-5319-2726)
- Amy Huynh
Institutions
- University of Houston (US)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.106204
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96