Name:
Meditron
Description:
Open-source medical language model for clinical decision support
Professor — Lab:
Martin JaggiMachine Learning and Optimization Laboratory

Home page:
Meditron
Layman description:
MEDITRON is an AI model designed to help doctors and healthcare professionals make better decisions by providing access to medical knowledge. It was trained on high-quality medical information from research papers and guidelines. Unlike other medical AI models that are closed-source, MEDITRON's code and training data are open, allowing transparency and further improvement by researchers. The goal is to safely bring the benefits of AI to healthcare in an ethical way.
Technical description:
MEDITRON is a pair of open-source large language models (LLMs) with 7 and 70 billion parameters, tailored to the medical domain. It was trained on carefully curated medical data sources, including peer-reviewed literature and clinical practice guidelines. MEDITRON outperforms other open-source models and closed models like GPT-3.5 on medical benchmarks, coming within 5-10% of GPT-4 and Med-PaLM-2.
Papers:
Project status:
active — entered showcase: 2024-04-12 — entry updated: 2024-04-12

Source code:
Lab Github - last commit: 2024-04-10
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Application
Programming language:
Python
License:
Apache-2.0