Resources


Database Credentialed Access

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, et al.

An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Published: June 26, 2024. Version: 1.0.1


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 Open Access

The CirCor DigiScope Phonocardiogram Dataset

Jorge Oliveira, Francesco Renna, Paulo Costa, et al.

A large collection of multi-location heart sound signals, with 5272 records collected from 1568 subjects. Heart murmurs have been annotated by a human annotator based on their time, shape, pitch, grading, quality, location and location intensity.

signal processing murmur pitch george b moody physionet challenge 2022 murmur grading murmur location murmur timing phonocardiogram pregnant murmur shape pediatric murmur detection murmur intensity murmur quality

Published: May 10, 2022. Version: 1.0.3

Visualize waveforms

Database Credentialed Access

Embedding-Based Representations for BRSET and mBRSET

David Restrepo, Chenwei Wu, Michael Morley, et al.

Precomputed image embeddings for the BRSET and mBRSET Brazilian retinal datasets to support efficient, secure, and equitable ophthalmic AI research, enabling tasks such as classification, clustering, multimodal modeling, and fairness analysis.

computer vision ophthalmology vector embeddings

Published: March 30, 2026. Version: 1.0.0


Database Credentialed Access

MIMIC-IV-Ext-MedicalBench: Evaluating Large Language Models Towards Improved Medical Concept Extraction

Zhichao Yang, Gregory Lyng, Sanjit Batra, et al.

This dataset is an evidence‑grounded benchmark built on MIMIC‑IV discharge summaries that evaluates how well large language models can verify ICD‑10 medical concepts, including implicitly documented diagnoses, by identifying supporting text evidence.

Published: March 23, 2026. Version: 1.0.0


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

Published: Jan. 25, 2026. Version: 1.0.0


Database Credentialed Access

MIMIC-IV-Ext clinical decision support for referral, triage and diagnosis

Farieda Gaber, Altuna Akalin

This MIMIC-IV extended dataset is designed to evaluate and improve LLMs' ability to assist with triage, specialist referral, and diagnosis, using critical patient information such as history of present illness,vitals signs and other relevant data.

Published: Oct. 8, 2025. Version: 1.0.2


Database Credentialed Access

MIMIC-Ext-DrugDetection

Fabrice Harel-Canada, Nanyun Peng, David Goodman, et al.

This project offers a multilabel annotated dataset of clinical note sentences from MIMIC-III/IV for substance use detection. It supports NLP research for identifying various co-occurring drug use mentions in patient records.

ehr mimic-iv substance use clinical notes mimic-iii methamphetamine multi-label cocaine drug detection polysubstance use prescription opioid misuse cannabis benzodiazepine misuse injection drug use heroin

Published: Sept. 25, 2025. Version: 1.0.0


Database Credentialed Access

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports

Jean-Benoit Delbrouck

RadGraph-XL is a large, expert-annotated dataset of 2,300 radiology reports covering multiple modalities and anatomies. It enables accurate extraction of clinical entities and relations for downstream medical AI tasks.

Published: Sept. 12, 2025. Version: 1.0.0


Database Credentialed Access

MIMIC-IV-Ext-Instr: A Dataset of 450K+ EHR-Grounded Instruction-Following Examples

Zhenbang Wu, Anant Dadu, Mike Nalls, et al.

This dataset contains 450K open-ended instruction-following examples generated using GPT-3.5 based on the MIMIC-IV EHR database.

large language models medical question answering instruction tuning

Published: Sept. 9, 2025. Version: 1.0.0