Researchers and developers can access the dataset for free through Hugging Face. This open-source approach aligns with the project's goal of accelerating medical AI research and improving healthcare technologies.
The effort is a collaboration between the Rajpurkar Lab at Harvard Medical School's Department of Biomedical Informatics and Gradient Health, a medical technology company dedicated to advancing research through accessible, high-quality datasets.
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The dataset can be accessed here: https://huggingface.co/datasets/rajpurkarlab/ReXGradient-160K
This work was supported by the Biswas Family Foundation's Transformative Computational Biology Grant in Collaboration with the Milken Institute.
About the Rajpurkar Lab:
The Rajpurkar Lab at Harvard Medical School's Department of Biomedical Informatics is committed to pioneering advanced medical artificial intelligence, with a mission to scale medical expertise globally through innovative AI solutions.
About Gradient Health:
Gradient Health is a medical technology company providing foundation model-scale medical imaging datasets to accelerate equitable health innovations.
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