An agentic AI framework connecting language models to electronic health records and a biomedical knowledge graph for real-world evidence

Gianmarco Bellucci, Wanjun Gu, Peter W. Rose, Sergio E. Baranzini

Open source

DOI
10.3389/frai.2026.1883853
Published
2026-09-04
Container
Frontiers in Artificial Intelligence
Publisher
Frontiers Media SA
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.3389/frai.2026.1883853,
  title = {An agentic AI framework connecting language models to electronic health records and a biomedical knowledge graph for real-world evidence},
  author = {Gianmarco Bellucci and Wanjun Gu and Peter W. Rose and Sergio E. Baranzini},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1883853},
  url = {https://doi.org/10.3389/frai.2026.1883853}
}

RIS

TY  - JOUR
TI  - An agentic AI framework connecting language models to electronic health records and a biomedical knowledge graph for real-world evidence
AU  - Gianmarco Bellucci
AU  - Wanjun Gu
AU  - Peter W. Rose
AU  - Sergio E. Baranzini
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1883853
UR  - https://doi.org/10.3389/frai.2026.1883853
ER  - 

APA

Bellucci, G., Gu, W., Rose, P. W., & Baranzini, S. E. (2026). An agentic AI framework connecting language models to electronic health records and a biomedical knowledge graph for real-world evidence. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1883853

Source records