All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–11 of 11 filtered models
LLaVA-Rad
5874556Chest X-ray vision-language model that drafts the findings section of a radiology report, at 7B parameters small enough to run on a single GPU.
ImagingLanguage model35OpennessM3FM
1938—Multimodal medical imaging foundation model for zero-shot clinical diagnosis and report generation from chest X-ray and CT in English and Chinese.
ImagingLanguage model60OpennessMaCo
1276—Chest X-ray foundation model that pairs masked image modeling with image-report contrastive alignment for zero-shot diagnosis and phrase grounding.
Imaging74OpennessMAIRA-2
—1534.4KMicrosoft Research multimodal LLM for grounded chest X-ray report generation, localizing each described finding with bounding boxes on the image.
ImagingLanguage model35OpennessCheXagent
23075981Instruction-tuned vision-language foundation model for chest X-ray interpretation, with 8 billion parameters spanning eight clinical task types.
ImagingLanguage model32OpennessMAIRA-1
—92—Radiology-specific multimodal LLM that generates the findings section of a chest X-ray report from a frontal image, pairing RAD-DINO with Vicuna-7B.
ImagingLanguage model6OpennessCXR-LLaVA
5439180Seoul National University +1 otherOctober 22, 2023abnormality_classificationchest_x_rayinstruction_tuning+6Chest X-ray vision-language model that generates free-text radiology reports, pairing a CXR-specific image encoder with a 7B LLaMA-2 language model.
ImagingLanguage model27OpennessCXR-CLIP
123138—Large-scale chest X-ray vision-language pretraining model that learns image-report alignment for zero-shot and few-shot radiograph classification.
Imaging18OpennessPTUnifier
7853—Chinese University of Hong Kong, Shenzhen +2 othersFebruary 17, 2023chest_x_rayfoundation_modelimage_text_retrieval+8Medical vision-language pretraining unifying fusion-encoder and dual-encoder designs, handling image-only, text-only, and paired inputs in one model.
PathologyLanguage model56OpennessPCRLv2
10083—Self-supervised pretraining framework for medical imaging that unifies pixel restoration with contrastive learning across 2D and 3D image backbones.
Imaging71Openness- Shenzhen Research Institute of Big Data +2 othersSeptember 15, 2022chest_x_rayfoundation_modelimage_text_retrieval+7
Medical vision-language pretraining framework that injects structured medical knowledge into radiology image-text learning for VQA and retrieval.
ImagingLanguage model29Openness