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Emory Knee Radiograph (MRKR) Dataset

Year: 2024

Type: preprint

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 hardware, enhancing its value for research and model development. MRKR addresses significant gaps in existing datasets by offering a more representative sample for studying osteoarthritis and related outcomes, particularly among minority populations, thereby providing a valuable resource for clinicians and researchers.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2411.00866

Authors: Price, Brandon, Adleberg, Jason, Thomas, Kaesha, Zaiman, Zach, Mansuri, Aawez, Brown-Mulry, Beatrice, Okecheukwu, Chima, Gichoya, Judy, Trivedi, Hari

Institutions: University of Florida Health, University of Florida, Mount Sinai Health System, Emory University, Georgia Institute of Technology

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4404350247

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