The MIMIC-CXR Database
Open accessAbstract
The MIMIC Chest X-ray (MIMIC-CXR) Database v1.0.0 is a large publicly available dataset of chest radiographs with structured labels. The dataset contains 371,920 images corresponding to 224,548 radiographic studies performed at the Beth Israel Deaconess Medical Center in Boston, MA. The dataset is de-identified to satisfy the US Health Insurance Portability and Accountability Act of 1996 (HIPAA) Safe Harbor requirements. Protected health information (PHI) has been removed. The dataset is intended to support a wide body of research in medicine including image understanding, natural language processing, and decision support.
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- Authors
- Johnson, A. E. W., Pollard, T., Mark, R., Berkowitz, S., & Horng, S.
- Affiliations
- Massachusetts Institute of Technology (US)
- Beth Israel Deaconess Medical Center (US)
- Venue
- physionet.org
- Publisher
- physionet.org
- Published
- 2019
- OpenAlex
- W6903494891
- Cited by
- 42
- References
- 0
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 9 · 2023: 8 · 2022: 9 · 2021: 6 · 2019: 1
- Type
- dataset
- Language
- en
- Open access
- green
- doi.org
- Locations
- PhysioNet
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Keywords
- chest radiograph, MIMIC-CXR, radiographic study, image understanding, clinical decision support, natural language processing
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