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Database Credentialed Access

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, et al.

We present EHRXQA, the first multi-modal EHR QA dataset combining structured patient records with aligned chest X-ray images. EHRXQA contains a comprehensive set of QA pairs covering image-related, table-related, and image+table-related questions.

question answering evaluation chest x-ray multi-modal question answering ehr question answering semantic parsing benchmark visual question answering electronic health records machine learning deep learning

Published: July 23, 2024. Version: 1.0.0

Database Credentialed Access

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Yeonsu Kwon, Jiho Kim, Gyubok Lee, et al.

Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Published: March 19, 2025. Version: 1.0.1

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 evaluation chest x-ray radiology benchmark multimodal visual question answering electronic health records machine learning deep learning

Published: July 19, 2024. Version: 1.0.0

Database Credentialed Access

MIMIC-CXR-Ext-MIMIC-CXR-DB: Linking MIMIC-IV Chest Radiographs with Rich and Harmonized Clinical Context

Houcemeddine Turki, Lukman Ismaila, Ahmed Ben Salem, et al.

MIMIC-CXR-DB is a de-identified database linking EHR data with chest X-ray metadata and structured clinical findings. It supports multimodal research by integrating imaging, laboratory, diagnostic, and ontology-linked information.

mimic-iv chest x-ray imaging clinical findings multimodal research ehr integration ontology-based linking

Published: Oct. 1, 2026. Version: 1.0

Model Credentialed Access

Fine-tuning foundational models to code diagnoses from veterinary health records

Adam Kiehl, Nadia Saklou, G Joseph Strecker, et al.

Fine-tuned GatorTron LLM for veterinary diagnosis coding to 7,739 SNOMED-CT codes based on clinical summary text from the Colorado State University Veterinary Teaching Hospital.

transformers natural language processing foundational models one health diagnoses snomed-ct veterinary medicine omop cdm veterinary medical records clinical coding large language models

Published: Jan. 25, 2026. Version: 1.0.0