multimodal benchmark
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.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MIMIC CXR Ranking
Higher score ranks better on this benchmark.
| 1 | GO | 88.9% | 100.0% | 1 | C |
MIMIC CXR Highlights
The leading models and scores on this benchmark.
What is MIMIC CXR?
What MIMIC CXR measures and how its scores work.
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.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MIMIC CXR
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- mimic-cxr|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MIMIC CXR.
Which model scores highest on MIMIC CXR?
MedGemma 4B IT is currently ranked first with 88.9%.
What does MIMIC CXR measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.