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Artificial intelligence for disparities in knee pain assessment

Nature Medicine volume 27, pages 22–23 (2021)Cite this article

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An algorithm developed through machine learning on existing radiological data from diverse people has the potential to improve the diagnosis and management of knee pain from osteoarthritis and reduce racial disparities in the assessment of knee pain.

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Acknowledgements

S.A.I. is supported in part by a K24 Mid-Career Development Award from the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant K24AR05529).

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  1. Division of Healthcare Delivery Science & Innovation, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA

    Said A. Ibrahim

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  1. Said A. Ibrahim
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Correspondence to Said A. Ibrahim.

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The author declares no competing interests.

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Ibrahim, S.A. Artificial intelligence for disparities in knee pain assessment. Nat Med 27, 22–23 (2021). https://doi.org/10.1038/s41591-020-01196-3

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