This repository curates popular Foundation Models in Healthcare, providing a valuable resource for researchers and developers exploring Large Language Models (LLMs) in the medical domain. It aims to track advancements, applications, and challenges of LLMs in healthcare by listing key models, their institutions, release dates, and associated code or resources.

How It Works

The project maintains a structured list of LLMs and related research, categorized into Large Language Models, Large Vision Models, and Survey Papers/Clinical Studies. Each entry includes the model's title, originating institution, publication date, and a link to code repositories (like Hugging Face or GitHub) or descriptive blogs. This curated approach facilitates easy discovery and comparison of state-of-the-art medical LLMs.

Quick Start & Requirements

This repository is a curated list of papers and models, not a runnable software package. To utilize the listed models, users will need to refer to the individual project links provided for installation and usage instructions.

Highlighted Details

• Comprehensive tracking of medical LLMs from major research institutions like Google, Microsoft, DeepMind, and universities.
• Includes models focused on various medical tasks, from general healthcare insights to specialized areas like radiology and electronic health records.
• Features a dedicated section for Large Vision Models in biomedicine and survey papers on LLM applications in healthcare.
• Provides direct links to code repositories (Hugging Face, GitHub) and relevant blogs for most listed models.

Maintenance & Community

The project encourages community contributions via pull requests, indicating an active effort to keep the list updated. Specific contributors or community channels are not detailed in the README.

Licensing & Compatibility

As this is a list of external resources, the licensing and compatibility depend entirely on the individual models and projects linked. Users must consult the licenses of each referenced repository.

Limitations & Caveats

The repository is a curated list and does not offer direct functionality or code. The accuracy and completeness of the information rely on community contributions and the maintenance of the linked external resources.