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Peer-reviewedCC BY 4.0NPJ Digital Medicine

AI agents in clinical practice: an evidence map

  • Joy Xu1
  • Justin M. Ko2
  • Joseph C. Kvedar3
  1. 1David Geffen School of Medicine, Los Angeles, CA USA
  2. 2Stanford University School of Medicine, Stanford, CA USA
  3. 3Harvard Medical School, Boston, MA USA
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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.

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Cite

BibTeXRIS
BibTeX
@article{xu2026agents,
  title = {{AI agents in clinical practice: an evidence map}},
  author = {Joy Xu and Justin M. Ko and Joseph C. Kvedar},
  journal = {NPJ Digital Medicine},
  year = {2026},
  month = jul,
  doi = {10.1038/s41746-026-02960-4},
  url = {https://doi.org/10.1038/s41746-026-02960-4},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - AI agents in clinical practice: an evidence map
AU  - Joy Xu
AU  - Justin M. Ko
AU  - Joseph C. Kvedar
PY  - 2026
DA  - 2026/07/13
JO  - NPJ Digital Medicine
DO  - 10.1038/s41746-026-02960-4
UR  - https://doi.org/10.1038/s41746-026-02960-4
AB  - 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.
SN  - 2398-6352
ER  -