MIMIC CXR
MIMIC-CXR is a large publicly available dataset of chest radiographs with free-text radiology reports. Contains 377,110 images corresponding to 227,835 radiographic studies from 65,379 patients at Beth Israel Deaconess Medical Center. The dataset is de-identified and widely used for medical imaging research, automated report generation, and medical AI development.
MedGemma 4B IT from Google currently leads the MIMIC CXR leaderboard with a score of 0.889 across 1 evaluated AI models.
MedGemma 4B IT leads with 88.9%.
Progress Over Time
Interactive timeline showing model performance evolution on MIMIC CXR
MIMIC CXR Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | 4B | — | — |
FAQ
Common questions about MIMIC CXR.
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