We have renamed Medical_NLP to Awesome-AI4Med. If you need to view the previous content, you can visit backup!
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Awesome-AI4Med aims to systematically curate research resources in the field of medical artificial intelligence (AI4Med), covering 🧠 Medical LLMs, 🩺 Medical MLLMs, 📚 datasets, and 📊 benchmarks. By automatically extracting trending models and datasets from a large corpus of research papers and open-source projects, this repository provides a clean, structured, and easy-to-navigate collection that helps researchers and developers 🚀 quickly track field progress, 🔍 locate relevant resources, and accelerate innovation in medical AI.
📣 You can view our repository on specialized disease LLMs at FreedomIntelligence/Awesome-Specialized-Medical-LLMs!
Table of Contents:
| Model Name | Paper | Model Weight | Data | Code |
|---|---|---|---|---|
HuatuoGPT |
[arXiv] | [HF (7B)][HF (13B)] | [HF] | [Github] |
Apollo |
[arXiv] | [HF (7B)][HF (34B)][HF (72B)] | [HF] | [Github] |
HuatuoGPT-II |
[arXiv] | [HF (7B)][HF (13B)][HF (34B)] | [HF (PT)][HF (SFT)] | [Github] |
HuatuoGPT-o1 |
[arXiv] | [HF (7B)][HF (8B)][HF (70B)] | [HF] | [Github] |
MMedLM |
[arXiv] | [HF (8B)][HF (70B)] | [HF] | [Github] |
PMC-LLaMA |
[arXiv] | [HF (13B)] | [HF] | [Github] |
Med42-v2 |
[arXiv] | [HF (8B)][HF (70B)] | - | [Github] |
OpenBioLLM |
- | [HF (8B)][HF (70B)] | - | - |
UltraMedical |
[arXiv] | [HF (8B)][HF (70B)] | [HF] | [Github] |
BioMistral |
[arXiv] | [HF (7B)] | - | [Github] |
MediTron |
[arXiv] | [HF (7B)][HF (70B)] | [HF] | [Github] |
Baichuan-M2 |
[arXiv] | [HF (32B)] | - | [Github] |
Baichuan-M1 |
[arXiv] | [HF (14B)] | - | [Github] |
MedAlpaca |
[arXiv] | [HF (7B)][HF (13B)] | [Github] | [Github] |
RadFM |
[arXiv] | [HF (13B)] | [Github] | [Github] |
MedReason |
[arXiv] | [HF (8B)] | [HF] | [Github] |
AlphaMed |
[arXiv] | [HF (7B)][HF (8B)] | [HF] | - |
Fleming-R1 |
[arXiv] | [HF (7B)][HF (32B)] | - | [Github] |
MedGemma |
[arXiv] | [HF (27B)] | - | [Github] |
| Model Name | Paper | Model Weight | Data | Code |
|---|---|---|---|---|
HuatuoGPT-Vision |
[arXiv] | [HF (7B)][HF 34B] | [HF] | [Github] |
ShizhenGPT |
[arXiv] | [HF (7B)][HF (32B)] | [HF (PT)][HF (SFT)] | [Github] |
Lingshu |
[arXiv] | [HF (7B)][HF 32B] | - | - |
LLaVA-Med |
[arXiv] | [HF (7B)] | [Github] | [Github] |
BiMediX2 |
[arXiv] | [HF (8B)][HF (70B)] | [Github] | [Github] |
Hulu-Med |
[arXiv] | [HF (4B)][HF (7B)][HF (14B)][HF (32B)] | [Github] | |
HealthGPT |
[arXiv] | [HF (3.8B)] | [HF] | [Github] |
Med-Flamingo |
[arXiv] | [HF (7B)] | - | [Github] |
MedGemma |
[arXiv] | [HF (4B)][HF (27B)] | - | [Github] |
Med-R1 |
[arXiv] | [HF (2B)] | - | [Github] |
BiomedGPT |
[arXiv] | [HF (7B)] | [Github] | [Github] |
MedVLM-R1 |
[arXiv] | [HF (2B)] | - | [Github] |
UniMedVL |
[arXiv] | [HF (14B)] | - | [Github] |
Chiron-o1 |
[arXiv] | [HF (2B)][HF (8B)] | - | [Github] |
MiniGPT-Med |
[arXiv] | [HF] | [Github] | [Github] |
Fleming-VL |
[arXiv] | [HF (8B)][HF (38B)] | - | [Github] |
VILA-M3 |
[arXiv] | [HF (3B)][HF (8B)][HF (13B)] | - | [Github] |
| Data Name | Paper | Link | Quantity |
|---|---|---|---|
Huatuo-26M |
[arXiv] | [Github] | 26,000,000 |
medical-o1-reasoning-SFT |
[arXiv] | [HF] | 25,000 |
ReasonMed |
[arXiv] | [HF] | 370,000 |
Multilingual-Medical-Corpus |
[arXiv] | [HF] | 3M |
AI Medical Dataset |
[arXiv] | [HF] | 27,000,000 |
| Data Name | Paper | Link | Quantity |
|---|---|---|---|
PubMedVision |
[arXiv] | [HF] | 1,294,062 |
Med-MAT |
[arXiv] | [HF] | 2,360,000 |
MedTrinity |
[arXiv] | [HF] | 25,000,000 |
OmniMedVQA |
[arXiv] | [OpenXLab] | 118,010 |
BioVFM |
[arXiv] | [Github] | 21,000,000 |
SLAKE |
[arXiv] | [Website] | - |
ChiMed-VL |
[arXiv] | [HF] | 580,014 |
BiomedParseData |
[arXiv] | [HF] | 6,800,000 |
SA-Med2D |
[arXiv] | [HF] | 20,000,000 |
IMIS |
[arXiv] | [HF] | 361,000,000 |
PreCT |
[arXiv] | [HF] | 160,000 |
BIOMEDICA |
[arXiv] | [HF] | 24M |
MedVision |
[arXiv] | [HF] | 30.8M |
| Evaluation Framework | Code | Supported Benchmark |
|---|---|---|
MedEvalKit |
[Github] | (1)Multimodal::MMMU-Medical-test, MMMU-Medical-val, PMC_VQA, OmniMedVQA, IU XRAY, MedXpertQA-Multimodal, CheXpert Plus, MIMIC-CXR, VQA-RAD, SLAKE, PATH-VQA, MedFrameQA;(2)Text-only::MedQA-USMLE, MedMCQA, PubMedQA, Medbullets-op4, Medbullets-op5, MedXpertQA-Text, SuperGPQA, HealthBench, CMB, CMExam, CMMLU, MedQA-MCMLE; |
MedBench |
[Website] | Text-only::Med-Exam, MedHC, MedMC, MedSpeQA, MedHG, MedDG, MedLitQA, IMCS-V2-MRG, DBMHG, CMB-Clin-extended, DDx-basic, DDx-advanced, MedTreat, CMeEE, CMeIE, CHIP-CDEE, CHIP-CDN, CHIP-CTC, SMDoc, MedSafety, DrugCA, CriID |