Resources


Model Credentialed Access

Asclepius-R : Clinical Large Language Model Built On MIMIC-III Discharge Summaries

Sunjun Kweon, Junu Kim, Jiyoun Kim, et al.

Asclepius: Publicly Available Clinical Large Language Models with Synthetic Clinical Notes Asclepius-R: A instruction-finetuned large language model with MIMIC-III clinical notes

synthetic clinical notes synthetic notes asclepius open-source llm clinical llm large language model clinical notes

Published: March 25, 2024. Version: 1.1.0

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

Database Credentialed Access

CXR-Align: A Benchmark for CXR-Report Alignment with Negations

Hanbin Ko

CXR-Align is a benchmark dataset created to evaluate vision-language models' capability to interpret negations in chest X-ray (CXR) reports, featuring systematically modified reports from MIMIC-CXR.

Published: Aug. 21, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Echo: Echocardiogram Matched Subset

Brian Gow, Tom Pollard, Nathaniel Greenbaum, et al.

The MIMIC-IV-ECHO module contains structured measurements from over 200,000 echocardiograms and more than 500,000 echocardiogram DICOM files. Patients overlap with those in the MIMIC-IV Clinical Database.

Published: Aug. 25, 2026. Version: 1.0.1

Database Contributor Review

Chest Computed Tomography for patients with sepsis in the Emergency Department

Senjun Jin, Zhongheng Zhang

The database is intended to support a wide array of research studies involving radiomics in sepsis patients, helping to reduce barriers to the reproducibility of clinical research.

sepsis

Published: Oct. 28, 2024. Version: 1.0.0

Model Credentialed Access

RadVLM model

Nicolas Deperrois, Hidetoshi Matsuo, Samuel Ruiperez-Campillo, et al.

RadVLM is a 7B-parameter vision-language model fine-tuned on public chest-X-ray data that drafts reports, lists abnormalities, grounds findings, and chats about a CXR through a single image-to-text interface.

Published: Oct. 8, 2025. Version: 1.0.0

Database Credentialed Access

PIFIR: PET-CT Invasive Fungal Infection Reports

Vlada Rozova, Anna Khanina, Jeremy Ong, et al.

A corpus of PET-CT reports annotated for terminology relevant to fungal infections. Ideal for validation of named entity recognition and relation extraction methods.

nlp clinical documentation information extraction invasive fungal infections

Published: Feb. 27, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext-EntityCoding: Clinical Named Entity Recognition and Assertion Classification Dataset for ICD Coding

James C Douglas, Yidong Gan, Ben Hachey, et al.

Clinical Named Entity Recognition and Assertion Classification annotations for 400 MIMIC-IV discharge summaries, designed to support ICD-10-CM/PCS coding research.

clinical nlp clinical annotation named entity recognition discharge summary clinical coding assertion classification

Published: Sept. 23, 2026. Version: 1.0.0

Database Credentialed Access

RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports

Sarvesh Soni, Kirk Roberts

RadQA is an electronic health record question answering dataset containing clinical questions that can be answered using the Findings and Impressions sections of radiology reports

machine reading comprehension radiology reports question answering clinical notes electronic health records

Published: Dec. 9, 2022. Version: 1.0.0

Database Credentialed Access

RaDialog Instruct Dataset

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, et al.

Image-based instruct data for Chest X-Ray understanding and analysis.

medical image understaning radiology chatbot radiology report generation radiology assistant large vision-language models

Published: July 12, 2024. Version: 1.1.0