Resources


Database Credentialed Access

CORAL: expert-Curated medical Oncology Reports to Advance Language model inference

Madhumita Sushil, Vanessa Kennedy, Divneet Mandair, Brenda Miao, Travis Zack, Atul Butte

Medical oncology progress notes annotated with advanced, comprehensive oncology-relevant concepts and relationships.

artificial intelligence electronic health records information extraction natural language processing oncology large language models

Published: Feb. 7, 2024. Version: 1.0

Database Credentialed Access

CORAL: expert-Curated medical Oncology Reports to Advance Language model inference

Madhumita Sushil, Vanessa Kennedy, Divneet Mandair, Brenda Miao, Travis Zack, Atul Butte

Medical oncology progress notes annotated with advanced, comprehensive oncology-relevant concepts and relationships.

artificial intelligence electronic health records information extraction natural language processing oncology large language models

Published: Feb. 7, 2024. Version: 1.0

Challenge Credentialed Access

ShAReCLEF eHealth Evaluation Lab 2014 (Task 2): Disorder Attributes in Clinical Reports

Danielle Mowery

The ShARe/CLEF eHealth 2014 Challenge (Task 2) on Disorder Attributes in Clinical Reports

Published: Nov. 1, 2013. Version: 1.0

Challenge Credentialed Access

ShAReCLEF eHealth 2013: Natural Language Processing and Information Retrieval for Clinical Care

Danielle Mowery

2013 ShARe/CLEF eHealth Evaluation Lab: Natural Language Processing and Information Retrieval for Clinical Care (Tasks 1 and 2).

natural language processing

Published: Feb. 15, 2013. Version: 1.0

Database Credentialed Access

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Matthew Lungren, Andrew Ng, Curtis Langlotz, Pranav Rajpurkar

RadGraph is a dataset of entities and relations in full-text chest X-ray radiology reports, which are obtained using a novel information extraction (IE) schema to capture clinically relevant information in a radiology report.

entity and relation extraction graph multi-modal radiology natural language processing

Published: June 3, 2021. Version: 1.0.0

Database Credentialed Access

EHR-DS-QA: A Synthetic QA Dataset Derived from Medical Discharge Summaries for Enhanced Medical Information Retrieval Systems

Konstantin Kotschenreuther

Dataset consisting of question and answer pairs synthetically generated from medical discharge summaries, designed to facilitate the training and development of large language models specifically tailored for healthcare applications

mimic-iv clinical question-answering medical discharge summaries large language models

Published: Jan. 11, 2024. Version: 1.0.0

Database Credentialed Access

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

Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, Dongchul Cha, Hangyul Yoon, Kwang Hyun Kim, Jeewon Yang, Seunghyun Won, Edward Choi

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

Published: June 26, 2024. Version: 1.0.1

Software Open Access

Cerebral Haemodynamic Autoregulatory Information System GUI

Acute Brain injury (ABI) is a devastating event requiring intensive acute treatment and post-injury rehabilitation, both delivered for indeterminate periods of time. For severe ABIs, acute treatment is aimed at stabilizing the patient to prevent sec…

brain injury intracranial pressure

Published: Dec. 16, 2016. Version: 1.0.0

Database Restricted Access

Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19

Jose Tamez-Peña, Adam Yala, Servando Cardona, Rocio Ortiz-Lopez, Victor Trevino

Thermal videos of people with positive and negative COVID-19 tests.

covid-19 thermal videos sars-cov-2 clinical symptoms

Published: Aug. 16, 2021. Version: 1.1

Database Open Access

Influence of the MHD effect on 12-lead and 3-lead ECGs recorded in 1T to 7T MRI scanners

Johannes W Krug Passand

ECG signals were acquired in various MRI scanners to enable the study of the magnetohydrodynamic (MHD) effect. The MHD effect, which is caused by an interaction of the blood flow and the MRI’s high static magnetic field, superimposes the ECG signal.

cardiac mri patient monitoring magnetohydrodynamic mri mhd ecg

Published: May 18, 2021. Version: 1.0.0

Visualize waveforms