Back to all papers

The Emory Knee Radiograph (MRKR) Dataset.

March 10, 2026pubmed logopapers

Authors

Price BJ,Gichoya J,Chavoshi M,Adleberg J,Thomas K,Zaiman Z,Mansuri A,Brown-Mulry B,Okechukwu C,Dapamede T,Li F,Isaac RS,Goltzer O,Gottschalk M,Trivedi H

Affiliations (5)

  • Department of Radiology, University of Florida, 1600 SW Archer Rd., Gainesville, FL, 32608, USA. [email protected].
  • School of Medicine, Emory University, 100 Woodruff Circle, Atlanta, GA, 30322, USA.
  • Department of Radiology, Mount Sinai Health System, 1 Gustave L. Levy Place, New York, NY, 10029, USA.
  • Department of Computer Science, Emory University, 400 Dowman Drive, Atlanta, GA, 30322, USA.
  • Department of Computer Science, Georgia Institute of Technology, 225 North Ave, Atlanta, GA, 30332, USA.

Abstract

The Emory Knee Radiograph (MRKR) dataset is a large, demographically diverse collection of 503,261 knee radiographs from 83,011 patients, 40% of which are African American. This dataset provides imaging data in DICOM format along with detailed clinical information, including patient-reported pain scores, diagnostic codes, and procedural codes, which are not commonly available in similar datasets. The MRKR dataset also features imaging metadata such as image laterality, view type, and presence of arthroplasty, enhancing its value for research and model development. Data are de-identified and available publicly and openly under a CC-BY-SA license. This dataset provides an opportunity for researchers studying osteoarthritis and pain to develop equitable deep learning models to help improve patient outcomes and pain.

Topics

Journal Article

Ready to Sharpen Your Edge?

Subscribe to join 11k+ peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.

We respect your privacy. Unsubscribe at any time.