AI agents in clinical practice: an evidence map

Abstract The rapid emergence of autonomous AI systems (agentic AI) marks a pivotal inflection point in digital medicine. This perspective synthesizes evidence across diagnostics, management, and care-adjacent operations to identify opportunities for adoption. Early deployments are concentrated in administrative workflows, though agentic applications are rapidly expanding across the clinical patient journey. Proactive governance, auditability, and clinician oversight are essential for responsible agent translation into clinical practice.

Authors

Publication Details

Journal
npj Digital Medicine
Published
2026-07-13
DOI
https://doi.org/10.1038/s41746-026-02960-4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI agents in clinical practice: an evidence map

Justin M. Ko, Joseph C. Kvedar, Joy Xu
npj Digital Medicine
Artificial Intelligence in Healthcare and Education
article

AI agents in clinical practice: an evidence map

Justin M. Ko, Joseph C. Kvedar, Joy Xu
article en

Abstract

Abstract The rapid emergence of autonomous AI systems (agentic AI) marks a pivotal inflection point in digital medicine. This perspective synthesizes evidence across diagnostics, management, and care-adjacent operations to identify opportunities for adoption. Early deployments are concentrated in administrative workflows, though agentic applications are rapidly expanding across the clinical patient journey. Proactive governance, auditability, and clinician oversight are essential for responsible agent translation into clinical practice.

npj Digital Medicine
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
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