All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 1–11 of 11 filtered models

  • LLaVA-Rad

    58631.2K
    Microsoft ResearchFebruary 20, 2025chest_x_rayfoundation_modelimage_text_retrieval+5

    Lightweight 7B vision-language foundation model from Microsoft Research, released research-only under the Microsoft Research License, that generates radiology findings from chest X-rays.

    ImagingLanguage model
    35Openness

  • M3FM

    1936—
    University of Oxford +6 othersFebruary 6, 2025chest_x_rayclipcontrastive_learning+9

    Multimodal, multidomain, multilingual medical foundation model that performs zero-shot clinical diagnosis and report generation from chest X-ray and CT images across English and Chinese.

    ImagingLanguage model
    60Openness

  • MaCo

    1272—
    Shanghai AI LaboratorySeptember 2, 2024chest_x_raycontrastive_learningfoundation_model+9

    A masked contrastive chest X-ray foundation model that aligns radiograph patches with report text for zero-shot and fine-grained diagnosis.

    Imaging
    74Openness

  • MAIRA-2

    —1393.3K
    Microsoft ResearchJune 6, 2024chest_x_rayinstruction_tuningmultimodal+6

    Microsoft Research multimodal LLM for grounded chest X-ray report generation, localizing each described finding with bounding boxes on the image.

    ImagingLanguage model
    35Openness

  • CheXagent

    226711.3K
    Stanford UniversityJanuary 22, 2024chest_x_rayfoundation_modelimage_classification+7

    An instruction-tuned vision-language foundation model from Stanford for interpreting and summarizing chest X-rays across eight clinical task types.

    ImagingLanguage model
    32Openness

  • MAIRA-1

    —87—
    Microsoft ResearchNovember 22, 2023chest_x_raymultimodalmultimodal_transformer+4

    Microsoft Research multimodal LLM that generates the findings section of a chest X-ray report from a single frontal image using a CXR-specific vision encoder and Vicuna-7B.

    ImagingLanguage model
    6Openness

  • CXR-LLaVA

    5432363
    Seoul National University +1 otherOctober 22, 2023abnormality_classificationchest_x_rayinstruction_tuning+6

    A publicly available vision-language model that interprets chest X-rays and generates radiology reports, built on a CXR-specific image encoder and LLaMA-2 (non-commercial license).

    ImagingLanguage model
    27Openness

  • CXR-CLIP

    121133—
    Kakao BrainOctober 20, 2023bertchest_x_raycnn+8

    Large-scale chest X-ray vision-language pretraining model that learns image-report alignment for zero-shot and few-shot radiograph classification.

    Imaging
    18Openness

  • PTUnifier

    7852—
    Chinese University of Hong Kong, Shenzhen +2 othersFebruary 17, 2023chest_x_rayfoundation_modelimage_text_retrieval+8

    Prompt-based medical vision-language pretraining that unifies fusion-encoder and dual-encoder architectures, handling image-only, text-only, and image-text inputs in one model.

    PathologyLanguage model
    56Openness

  • PCRLv2

    10082—
    The University of Hong Kong +1 otherJanuary 2, 2023chest_x_rayclassificationcnn+8

    Self-supervised pre-training framework for medical image analysis that unifies pixel restoration with contrastive feature comparison across 2D and 3D modalities.

    Imaging
    71Openness

  • ARL (Align, Reason and Learn)

    38109—
    Shenzhen Research Institute of Big Data +2 othersSeptember 15, 2022chest_x_rayfoundation_modelimage_text_retrieval+7

    Knowledge-enhanced medical vision-and-language pre-training framework that aligns, reasons over, and learns from structured medical knowledge for radiology image-text tasks.

    ImagingLanguage model
    29Openness