PhysioNet Index Menu Share About FAQs Explore Data View datasets Software View software Challenges View challenges Tutorials View tutorials Cancel Search Search PhysioNet Log in Share About FAQs Data View datasets Software View software Challenges View challenges Tutorials View tutorials Search Sort by Relevance Latest Oldest Title (Asc.) Title (Desc.) Size (Asc.) Size (Desc.) Resource type   Data Software Challenge Model Apply Resources Model Credentialed Access Medical AI Research Foundations: A repository of medical foundation models Shekoofeh Azizi, Jan Freyberg, Laura Culp, et al. Medical AI Research Foundations is a repository of medical foundation models. Published: April 25, 2023. Version: 1.0.0 Database Credentialed Access Chest X-ray Dataset with Lung Segmentation Wimukthi Indeewara, Mahela Hennayake, Kasun Rathnayake, et al. CXLSeg dataset: Chest X-ray with Lung Segmentation, a comparatively large dataset of segmented Chest X-ray radiographs based on the MIMIC-CXR dataset. This contains segmentation results of 243,324 frontal view images and corresponding masks. segmentation medical reports u-net chest radiographs mimic-cxr chest x-ray Published: Feb. 8, 2023. Version: 1.0.0 Model Credentialed Access Me-LLaMA: Foundation Large Language Models for Medical Applications Qianqian Xie, Qingyu Chen, Aokun Chen, et al. Me-LLaMA is a family of large language models for medical applications trained using clinical text with LLaMA2 models as the base. We release model weights for the foundation models as well as the chat-enhanced models. large language models Published: June 5, 2024. Version: 1.0.0 Database Credentialed Access MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images Seongsu Bae, Daeun Kyung, Jaehee Ryu, et al. We introduce MIMIC-Ext-MIMIC-CXR-VQA, a complex, diverse, and large-scale dataset designed for Visual Question Answering (VQA) tasks within the medical domain, focusing primarily on chest radiographs. question answering electronic health records evaluation chest x-ray radiology benchmark multimodal visual question answering deep learning machine learning Published: July 19, 2024. Version: 1.0.0 Database Credentialed Access MIMIC-III-Ext-tPatchGNN Chenlong Yin, Weijia Zhang The processed MIMIC-III dataset for the benchmark of Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach. Published: April 9, 2025. Version: 1.0.0 Database Restricted Access Application of Med-PaLM 2 in the refinement of MIMIC-CXR labels Kendall Park, Rory Sayres, Andrew Sellergren, et al. This work further refines the labels associated with CheXpert in MIMIC-CXR-JPG 2.0.0 by filtering with Med-PaLM 2 followed by verification by manual review by three US board-certified radiologists. mimic-cxr labels Published: Feb. 4, 2025. Version: 1.0.0 Database Credentialed Access Radiology Report Expert Evaluation (ReXVal) Dataset Feiyang Yu, Mark Endo, Rayan Krishnan, et al. The Radiology Report Expert Evaluation (ReXVal) Dataset is a publicly available dataset of radiologist evaluations of errors in automatically generated radiology reports. Published: June 20, 2023. Version: 1.0.0 Database Open Access Radiology Report Generation Models Evaluation Dataset For Chest X-rays (RadEvalX) Amos Rubin Calamida, Farhad Nooralahzadeh, Morteza Rohanian, et al. The RadEvalX is a publicly available dataset developed similarly to the ReXVal dataset. RedEvalX focuses on radiologist evaluations of errors found in automatically generated radiology reports. Published: June 18, 2024. Version: 1.0.0 Database Credentialed Access Tasks 1 and 3 from Progress Note Understanding Suite of Tasks: SOAP Note Tagging and Problem List Summarization Yanjun Gao, John Caskey, Timothy Miller, et al. We introduce a hierarchical annotation suite of tasks addressing clinical text understanding, reasoning and abstraction over evidence, and diagnosis summarization. One task is section tagging major section and the other task is diagnosis generation. Published: Sept. 30, 2022. Version: 1.0.0 Database Credentialed Access MIMIC-IV-Ext Clinical Decision Making: A MIMIC-IV Derived Dataset for Evaluation of Large Language Models on the Task of Clinical Decision Making for Abdominal Pathologies Paul Hager, Friederike Jungmann, Daniel Rueckert A curated set of ED clinical decision making cases for four abdominal pathologies. Each case contains the exams required to diagnose including HPI, physical examination, laboratory tests, and imaging. Relevant treatment information is also included. clinical decision making abdominal pathologies treatment plan emergency room diagnosis large language models Published: July 8, 2024. Version: 1.1 « ‹ 1 (current) 2 3 › » Maintained by the MIT Laboratory for Computational Physiology Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Heart Lung and Blood Institute (NHLBI), and NIH Office of the Director under NIH grant numbers U24EB037545 and R01EB030362 Navigation Discover Data Share Data About News Explore Data Software Challenges Tutorials Subscribe to our Newsletter Subscribe Now -- Accessibility