medaCy

Offers out-of-the-box trained models that dominate medical named entity recognition shared tasks, as evidenced by the example extracting drug, dosage, form, and duration from clinical notes.

Provides detailed development instructions and documentation for building tailored NLP systems, enabling researchers to adapt to specific medical text mining needs.

Designed to ensure system replicability for reproducing results and distributing models while maintaining privacy, supporting reproducible medical NLP workflows.

Maintained by NLP@VCU with ongoing development, and issues are actively addressed through the project's GitHub repository, as noted in the README.