About MedMLX
MedMLX reimplements published medical imaging models in MLX for on-device AI on Apple Silicon. The inference path uses no PyTorch or CUDA.
Article
Sandoval J, Sandoval A Jr, Saleem A. MedMLX: On-Device Medical Imaging AI for Apple Silicon. medRxiv. 2026.
doi:10.64898/2026.10.28.26366762
@article{sandoval2026medmlx,
title = {MedMLX: On-Device Medical Imaging AI for Apple Silicon},
author = {Sandoval, Joseph and Sandoval, Jr., Alfredo and Saleem, Arsalan},
journal = {medRxiv},
year = {2026},
doi = {10.64898/2026.10.28.26366762},
url = {https://doi.org/10.64898/2026.10.28.26366762}
}
For developers
The medmlx package provides a Python API, a command-line tool and an MCP server. Each model runtime has its own weights, requirements and install instructions.
Intended use
MedMLX is research software. It is not a medical device and is not for clinical use. Model outputs require human review.
Licenses
Code and weights are licensed separately. Each package's README and third-party notices give the terms for both.
Sources and licenses for the homepage images and videos are on the image credits page.
Maintained by Joseph Sandoval and Alfredo Sandoval Jr. (GitHub) in the AI-IR lab at the University of Texas Medical Branch.