{"benchmark_id":"chexpert-cxr","benchmark_name":"CheXpert CXR","benchmark_description":"CheXpert is a large dataset of 224,316 chest radiographs from 65,240 patients for automated chest X-ray interpretation. The dataset includes uncertainty labels for 14 medical observations extracted from radiology reports. It serves as a benchmark for developing and evaluating automated chest radiograph interpretation models.","max_score":1.0,"categories":["healthcare","vision"],"modality":"image","total_models":1,"entries":[{"rank":1,"model_id":"medgemma-4b-it","model_name":"MedGemma 4B IT","organization_name":"Google","organization_id":"google","benchmark_score":0.481,"normalized_score":0.481,"verified":false,"self_reported":true,"provider_id":null,"input_cost_per_million":null,"output_cost_per_million":null,"speed_rps":null,"context_window":null,"release_date":"2025-05-20","announcement_date":"2025-05-20","multimodal":true,"param_count":4300000000,"is_new":false}]}