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Models

Search by task, anatomy or name. The command below installs every model family, and each entry has its own install command.

Missing a model? Request a port

uv tool install --python 3.13 "medmlx[all,mcp]"

Installs the medmlx command, its MCP server and every model family. Needs macOS 14.0 or later on Apple Silicon and uv.

Segmentation

  • nnU-Net

    Segmentation of liver and pancreas CT, brain tumor MRI and PET/CT lesions.

    nnunet-mlx 0.6.4 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "nnunet-mlx>=0.6.4"

  • TotalSegmentator

    Identify 117 organs and other body structures in CT scans.

    totalsegmentator-mlx 0.1.6 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "totalsegmentator-mlx>=0.1.6"

  • MedSAM2

    Lesion or organ segmentation from a box, point or mask prompt, tracked through the volume.

    medsam2-mlx 0.2.8 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "medsam2-mlx>=0.2.8"

  • BioMedParse

    Text-prompted 3D segmentation with Microsoft BioMedParse v2.

    biomedparse-mlx 0.1.5 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "biomedparse-mlx>=0.1.5"

  • NV-Segment-CT

    Automatic and prompted 3D CT segmentation with NVIDIA VISTA-3D.

    mlx-segment-ct 0.3.5 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "mlx-segment-ct>=0.3.5"

  • SegResNet

    Segmentation of brain tumors, kidney structures and whole-body anatomy from MRI or CT.

    segresnet-mlx 0.3.3 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "segresnet-mlx>=0.3.3"

  • UNesT

    Kidney cortex, medulla and collecting system segmentation in contrast-enhanced CT.

    unest-mlx 0.2.7 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "unest-mlx>=0.2.7"

  • SwinUNETR

    Organ segmentation in abdominal CT.

    swin-unetr-mlx 0.2.6 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "swin-unetr-mlx>=0.2.6"

  • SynthSeg

    Brain segmentation and parcellation.

    synthseg-mlx 0.3.4 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "synthseg-mlx>=0.3.4"

  • FleXray

    Radiograph segmentation.

    flexray-mlx 0.2.6 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "flexray-mlx>=0.2.6"

  • FlexibleUNet

    Identify surgical instruments in endoscopy images.

    flexible-unet-mlx 0.2.6 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "flexible-unet-mlx>=0.2.6"

Detection

  • 3D RetinaNet

    MONAI RetinaNet lung nodule detection in 3D chest CT.

    lung-nodule-mlx 0.2.6 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "lung-nodule-mlx>=0.2.6"

Generation

  • FDG PET/CT

    Synthetic FDG PET from CT and organ labels, with scanner blur, scatter and count noise.

    fdg-pet-ct-mlx 0.2.6 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "fdg-pet-ct-mlx>=0.2.6"

  • NV-Generate

    Synthetic 3D CT and MRI generation with NVIDIA NV-Generate (MAISI).

    mlx-generate-ctmr 0.5.2.post2 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "mlx-generate-ctmr>=0.5.2.post2"

  • LesionDiffusion

    Synthetic lesions in CT, with control of organ, size, placement and phenotype.

    lesiondiffusion-mlx 0.2.6.post2 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "lesiondiffusion-mlx>=0.2.6.post2"

Vision-language

  • MLX-Reason-CT

    Writes a structured report for a chest or abdomen CT volume, or answers a question about it.

    mlx-reason-ct 0.3.6 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "mlx-reason-ct>=0.3.6"

  • MedGemma

    Ask questions about medical images and receive written responses on your Mac.

    med-vlm-mlx 0.3.2 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "med-vlm-mlx>=0.3.2"

Quantitative imaging

  • PyRadiomics

    Measure image intensity, texture and shape within a selected region.

    mlxradiomics 0.1.0.dev10 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "mlxradiomics>=0.1.0.dev10"

Feature extraction

  • RadImageNet

    Extract numerical image features for research with models trained on RadImageNet.

    radimagenet-mlx 0.3.3 PyPI  GitHub 
    Install on its own
    New environment 
    uv venv --python 3.13
source .venv/bin/activate
uv pip install "radimagenet-mlx>=0.3.3"

Request a model

Have a medical imaging model you’d like to run on your Mac? Suggest it for a MedMLX port.

Share the model’s repository or paper and what you’d use it for. Links to weights and license details help us assess a port.

Request on GitHub Browse requests

Requests are public and require a GitHub account. If your model is already requested, add your use case to that thread. A request does not guarantee a port or a release date.

Questions, bug reports and community discussions