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Artificial intelligence agents in healthcare research: A scoping review
0
Zitationen
8
Autoren
2026
Jahr
Abstract
Agentic AI systems are rapidly evolving from conceptual frameworks to functional prototypes, primarily targeting complex decision-making and workflow automation. While agentic capabilities are increasingly integrated, research heavily favors simulated evaluations. Future research must prioritize clinical trials and the robust assessment of safety, usability, and clinical efficacy before widespread adoption.
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Autoren
Institutionen
- Yale University(US)
- Ohio University(US)
- University of Bangui(CF)
- Yale New Haven Health System(US)
- University of Cumbria(GB)
- Montefiore Medical Center(US)
- Bridgeport Hospital(US)
- Texas Tech University(US)
- Texas Tech University Health Sciences Center(US)
- Artificial Intelligence in Medicine (Canada)(CA)
- Jordan University of Science and Technology(JO)
- Al-Balqa Applied University(JO)