--- title: README emoji: 🏆 colorFrom: yellow colorTo: pink sdk: static pinned: false thumbnail: >- https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/FTCV2ltw2ZxiZS_tKvARU.png short_description: OpenMed ---
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OpenMed: State-of-the-Art, Open-Source AI for Healthcare & Life Sciences

--- ## 🩺 Our Mission The most powerful AI tools for healthcare should not be locked behind expensive paywalls. **OpenMed** is a community-driven initiative dedicated to building and sharing state-of-the-art, production-ready AI models for healthcare and life sciences. Our mission is to accelerate research, empower developers, and improve patient outcomes by providing free, powerful, and transparent tools for everyone. All of our work is and always will be released under the permissive **Apache 2.0 license**. ## 🎯 Our Focus & Core Tasks We build and maintain models for the most critical NLP tasks in the clinical and biomedical domains. Our models are rigorously benchmarked to ensure they meet or exceed the state of the art. Our focus areas include: * 🧬 **Named Entity Recognition (NER):** Identifying Drugs, Diseases, Chemicals, Genes, Anatomy, and Procedures. * ❓ **Assertion Status Detection:** Determining if a condition is `present`, `absent`, or `possible`. * 🔗 **Entity Linking & Normalization:** Mapping extracted entities to standard ontologies like SNOMED-CT, RxNorm, and ICD-10. * 🔒 **De-Identification:** High-accuracy models for finding and removing Protected Health Information (PHI). * 🤝 **Relation Extraction:** Understanding the relationships between entities (e.g., "Aspirin treats headaches"). * ✍️ **Generative AI:** Fine-tuning LLMs for tasks like clinical text summarization and medical question-answering.