maziyarpanahi/openmed

open-source healthcare ai

52
/ 100
Established

This project helps healthcare professionals and data analysts automatically extract key information from clinical text. It takes raw medical notes, reports, or research papers and identifies specific entities like diseases, drugs, anatomy, and even sensitive patient information. The output is structured data that can be used for analysis, reporting, or anonymization, enabling a more efficient understanding of large volumes of clinical data.

343 stars.

Use this if you need to quickly and accurately identify and extract medical entities or sensitive patient data from unstructured clinical texts for research, analysis, or compliance.

Not ideal if your primary need is general-purpose text analysis outside of the healthcare domain or if you require advanced capabilities like complex medical inference or dialogue systems.

clinical-data-analysis healthcare-compliance medical-research patient-privacy biomedical-nlp
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 17 / 25

How are scores calculated?

Stars

343

Forks

42

Language

Python

License

Apache-2.0

Last pushed

Mar 10, 2026

Commits (30d)

0

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