Hospital for Special Surgery to develop AI algorithms with 5.3M de-identified radiology exams

The Hospital for Special Surgery in New York City is working with various tech companies to develop artificial intelligence algorithms to improve clinical care, one of the vendors confirmed Aug. 22.

The imaging IT vendor, Dicom Systems, de-identified 5.3 million radiology exams as part of the orthopedic hospital's project. From there, HSS is passing along the de-identified data to a separate AI company to develop algorithms that support treatment for fracture misdiagnosis.

The HSS Global Innovation Institute — a hospital arm that collaborates with industry, investors and entrepreneurs to commercialize technologies — is leading the project.

"This data pool is already in the hands of our AI partner, with the aim to significantly improve diagnostic accuracy of fractures and pathologies in radiology," David King, executive director of HSS Global Innovation Institute, said in a news release.

More articles on artificial intelligence:
NYU School of Medicine teams up with Facebook to improve MRIs
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Mass General, MIT team develops experimental 'in-body GPS' system

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