We live and breathe medical datasets for AI

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Transforming healthcare through AI hinges upon access to diverse, richly annotated, open-source datasets. Medical AI applications—from image segmentation to multimodal reasoning—are only as robust as their training data. Fortunately, recent years have yielded high-quality, freely available datasets that researchers can leverage to build, test, and deploy impactful models. We thought it would be helpful to put some of our favorite open-source datasets in an organized list and share them with the community.

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In our list, you can explore dozens of datasets by size, category, modality (including X-ray, ultrasound, Whole Slide Images, CT scans, ECGs), and more. Additionally, we have included a brief description that helps you to quickly understand the specific abnormalities of interest, the balance of the data, and information about annotations included, such as medical image classifications or segmentations.

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Access the full collection here

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If you know of any datasets that should be added to this list, please let us know.

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