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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Curated papers on Large Language Models in Healthcare and Medical domain
| Date | Stars |
|---|---|
| 2026-07-31 | 393 |
| 2026-08-04 | 393 |
| 2026-08-06 | 393 |
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growth rate 0.00%/day
# Awesome-Medical-Large-Language-Models [](https://awesome.re) A curated list of popular Foundation Models in Healthcare. Please submit a pull request to contribute :-) <!-- used non-break hyphen ‑ in the last entry of the tables so dates don't break into different lines: https://stackoverflow.com/questions/30308032/markdown-no-break-nobr --> <!-- for meditron entry, both HF and Github is shown. There is no <br> between Github and Stars as having <br> breaks the HuggingFace entry into separate line and currently seems hard to have nonbreaking property: https://stackoverflow.com/a/44555965/5276428 --> 🤗[Open Medical-LLM Leaderboard](https://huggingface.co/spaces/openlifescienceai/open_medical_llm_leaderboard) # Table of Contents - [Large Language Models](#llms) - [Large Vision Models](#lvms) - [Survey Papers + Clinical Studies](#survey-studies) - [Articles](#articles) ## Large Language Models <a name="llms"></a> | Title | Institute | Date | Code | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------: | :-----------: | :-------------: | | [MedGemma](https://developers.google.com/health-ai-developer-foundations/medgemma): Google's most capable open models for medical text and image comprehension, built on Gemma 3 | Google <br> | 2025-05 | [HuggingFace](https://huggingface.co/google/medgemma-4b-it) <br>  <br> [Github](https://github.com/epfLLM/meditron)  | [PH-LLM](https://arxiv.org/pdf/2405.03162): Towards a Personal Health Large Language Model <br> [PHIA](https://arxiv.org/pdf/2406.06474) Transforming Wearable Data into Health Insights using Large Language Model Agents | Google Research <br>  <br> | 2024-06 | [Blog](https://research.google/blog/advancing-personal-health-and-wellness-insights-with-ai) | [Internist.ai](https://doi.org/10.1093/jamia/ocae120): Impact of high-quality, mixed-domain data on the performance of medical language models | Université catholique de Louvain, Cliniques Universitaires Saint-Luc <br>  | 2024-05 | [HuggingFace](https://huggingface.co/internistai/base-7b-v0.2) <br>  | [Med_Gemini-[2D,3D,Polygenic]](https://arxiv.org/pdf/2405.03162): Advancing Multimodal Medical Capabilities of Gemini | Google Research, DeepMind <br>  | 2024-05 | [Blog](https://research.google/blog/advancing-medical-ai-with-med-gemini/) | [MedVersa](https://arxiv.org/pdf/2405.07988): A Generalist Learner for Multifaceted Medical Image Interpretation | Harvard Medical School <br>  | 2024-05 | - | [OpenBioLLM-70B](https://huggingface.co/aaditya/Llama
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2be4b93cff2fecb0, topic:large-language-models