TruaceTracing the truth around AIMonday, July 13, 2026
TRV-2026-0166Certified recordPeer-reviewed

The role of agentic artificial intelligence in healthcare: a scoping review

Agentic AI represents a promising evolution of artificial intelligence in healthcare, with systems capable of operating autonomously to achieve defined clinical goals. However, the literature lacks conceptual clarity in distinguishing AI agents from Agentic AI, and few studies have rigorously explored their applications. We conducted a scoping review across five databases, identifying seven eligible studies spanning emergency medicine, oncology, radiology, and rehabilitation. The included systems demonstrated fe…

Health · The Trace — both readings · certified 2026-07-13 · v1 · article view · machine-readable

Current reading — gain

Agentic AI systems demonstrated autonomous, goal-directed behavior with high accuracy in cancer diagnosis, treatment planning, alert generation, coaching, and workflow optimization across emergency medicine, oncology, radiology, and rehabilitation pilots.

Current reading — problem

Most agentic AI studies in healthcare were exploratory, limited in scope, lacked robust clinical validation, and lacked conceptual clarity, with only one trial involving patients.

What this doesn’t fix

Most included studies were exploratory and lacked robust clinical validation, with only one trial involving patients, limiting generalizability to real-world practice.

Evidence

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Truvace Impact Record TRV-2026-0166, v1: “The role of agentic artificial intelligence in healthcare: a scoping review.” Truvace, 2026-07-13. /record/TRV-2026-0166 (accessed at citation time). sha256 9d17cd277b8ad2cb

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