Resources


Database Open Access

ReXErr-v1: Clinically Meaningful Chest X-Ray Report Errors Derived from MIMIC-CXR

Vishwanatha Rao, Serena Zhang, Julian Acosta, Subathra Adithan, Pranav Rajpurkar

Chest X-Ray reports containing synthetic errors based upon the MIMIC-CXR database. Errors were injected using LLMs and sampled across common human and AI model errors.

Published: March 19, 2025. Version: 1.0.0


Database Credentialed Access

MIMIC-IV-Ext Triage Instruction Corpus

Qingyang Shen, Quan Guo

MIMIC-IV-Ext Triage Instruction Corpus includes 9,629 ED triage cases organized by the five-level ESI, enabling LLMs to improve triage accuracy. It provides CSV data, generation prompts, expert validation samples, and SQL QC scripts.

nlp clinical decision support large language models machine learning emergency severity index emergency triage

Published: March 4, 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, Tom Pollard, Fayaz Jamil, Timo Kohlberger, Charles Lau, Atilla Kiraly

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

MedDec: Medical Decisions for Discharge Summaries in the MIMIC-III Database

Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, Leo Anthony Celi

Annotations of ten types of medical decisions from discharge summaries in the MIMIC-III database.

natural language processing medical decisions span classification discharge summary mimic

Published: Oct. 16, 2024. Version: 1.0.0


Database Credentialed Access

RadGraph2: Tracking Findings Over Time in Radiology Reports

Adam Dejl, Sameer Khanna, Patricia Therese Pile, Kibo Yoon, Steven QH Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar

RadGraph2 is a dataset of 800 chest radiology reports annotated using a fine-grained entity-relationship schema, which captures key findings as well as mentions of changes that occurred in comparison with the previous radiology studies.

chest x-rays relation extraction disease progression information extraction radiology reports named entity recognition

Published: Aug. 8, 2024. Version: 1.0.0


Database Open Access

Gesture Recognition and Biometrics ElectroMyogram (GRABMyo)

Ning Jiang, Ashirbad Pradhan, Jiayuan He

Open-access dataset of electromyogram (EMG) recordings collected from the wrist and forearm muscles of 43 people while they performed hand gestures.

Published: June 7, 2024. Version: 1.1.0

Visualize waveforms

Database Credentialed Access

Medication Extraction Labels for MIMIC-IV-Note Clinical Database

Akshay Goel, Almog Gueta, Omry Gilon, Sofia Erell, Amir Feder

Medication extraction NLP labels for 600 discharge summaries in MIMIC-IV-Note dataset.

Published: Dec. 12, 2023. Version: 1.0.0


Database Credentialed Access

Annotated MIMIC-IV discharge summaries for a study on deidentification of names

Shulammite Lim, Yuxin Xiao, Alistair Johnson, Dana Moukheiber, Lama Moukheiber, Mira Moukheiber, Marzyeh Ghassemi, Tom Pollard

Annotated MIMIC-IV discharge summaries used to explore deidentification of names

deidentification fairness

Published: July 5, 2023. Version: 1.0


Database Credentialed Access

MIMICEL: MIMIC-IV Event Log for Emergency Department

Jia Wei, Zhipeng He, Chun Ouyang, Catarina Moreira

MIMIC-IV Event Log for Emergency Department

Published: June 16, 2023. Version: 2.1.0


Database Credentialed Access

MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Max Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anton Schwaighofer, Maria Teodora Wetscherek, Hannah Richardson, Tristan Naumann, Javier Alvarez Valle, Ozan Oktay

The MS-CXR-T is a multimodal benchmark that enhances the MIMIC-CXR v2 dataset by including expert-verified annotations. Its goal is to evaluate biomedical visual-language processing models in terms of temporal semantics extracted from image and text.

disease progression cxr vision-language processing chest x-ray radiology multimodal

Published: March 17, 2023. Version: 1.0.0