Artificial intelligence agents in healthcare research: A scoping review
Yale University · Ohio University · +10 more institutions
Abstract
Artificial Intelligence (AI) agents are rapidly transforming healthcare delivery, enabling real-time decision support and sophisticated patient interaction at scale. However, the scientific landscape of this rapidly growing, multidisciplinary field remains fragmented, with technical innovation outpacing translational research and the establishment of ethical governance frameworks. To address this gap, we conducted a comprehensive scoping review analysis of AI agent research in healthcare.
We followed scoping review methodology (PRISMA-ScR guidelines). Searches across PubMed, Web of Science, arXiv, and medRxiv were conducted from January 2015 to December 7, 2025.
Citation impact
- FWCI
- 61.05
- Percentile
- 100%
- References
- 45
Authors
8- BNBasile NjeiCorresponding
Yale University, Ohio University, University of Bangui, Yale New Haven Health System, University of Cumbria
- YAYazan A. Al-Ajlouni
Montefiore Medical Center, Yale University
- USUlrick Sidney Kanmounye
- SBSarpong Boateng
Bridgeport Hospital
- GNGuy Nguefang
Texas Tech University, Texas Tech University Health Sciences Center
Topics & keywords
- Workflow
- Health care
- MEDLINE
- Conceptual framework
- Healthcare system
- Clinical trial
- Industry, innovation and infrastructure