Artificial Intelligence in Outpatient Primary Care: Current Evidence, Implementation Gaps, and Practical Pathways to Impact.

Cheng W, Li S, Yu Z

Open source

DOI
10.1007/s11606-026-10819-3
Published
2026 Sep 21
Container
Journal of general internal medicine
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11606-026-10819-3,
  title = {Artificial Intelligence in Outpatient Primary Care: Current Evidence, Implementation Gaps, and Practical Pathways to Impact.},
  author = {Cheng W and Li S and Yu Z},
  year = {2026},
  journal = {Journal of general internal medicine},
  doi = {10.1007/s11606-026-10819-3},
  url = {https://doi.org/10.1007/s11606-026-10819-3}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence in Outpatient Primary Care: Current Evidence, Implementation Gaps, and Practical Pathways to Impact.
AU  - Cheng W
AU  - Li S
AU  - Yu Z
PY  - 2026
JO  - Journal of general internal medicine
DO  - 10.1007/s11606-026-10819-3
UR  - https://doi.org/10.1007/s11606-026-10819-3
ER  - 

APA

W, C., S, L., & Z, Y. (2026). Artificial Intelligence in Outpatient Primary Care: Current Evidence, Implementation Gaps, and Practical Pathways to Impact.. Journal of general internal medicine. https://doi.org/10.1007/s11606-026-10819-3

Source records