Resources


Database Restricted Access

Smartphone-Captured Chest X-Ray Photographs

Po-Chih Kuo, ChengChe Tsai, Diego M Lopez, Alexandros Karargyris, Tom Pollard, Alistair Johnson, Leo Anthony Celi

Smartphone-captured CXR images including photographs taken from MIMIC-CXR and CheXpert, photographs taken by resident doctors, and photographs taken with different devices.

smartphone photograph cxr

Published: Sept. 27, 2020. Version: 1.0.0

Database Restricted Access

Endoscapes2023, A Critical View of Safety and Surgical Scene Segmentation Dataset for Laparoscopic Cholecystectomy

Pietro Mascagni, Deepak Alapatt, Aditya Murali, Armine Vardazaryan, Alain Garcia Vazquez, Nariaki Okamoto, Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy

Endoscapes2023 enables the development of models for object detection, semantic and instance segmentation, and Critical View of Safety (CVS) prediction, contributing to safe laparoscopic cholecystectomy.

surgical safety computer assisted interventions semantic segmentation surgical data science medical imaging analysis

Published: Dec. 11, 2024. Version: 1.0.0

Database Contributor Review

COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales

Álvaro Ritoré, Andreea M Oprescu, Alberto Estirado Bronchalo, Miguel Ángel Armengol de la Hoz

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

covid-19 multimodal database radiological images open data healthcare data machine learning and ai

Published: Oct. 25, 2024. Version: 1.0.0

Database Open Access

EEG Signals from an RSVP Task

This project contains EEG data from 11 healthy participants upon rapid presentation of images through the Rapid Serial Visual Presentation (RSVP) protocol at speeds of 5, 6, and 10 Hz.

imaging eeg neuroelectric

Published: May 19, 2017. Version: 1.0.0

Visualize waveforms

Database Credentialed Access

Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information

Yael Bensoussan, Alexandros Sigaras, Anais Rameau, Olivier Elemento, Maria Powell, David Dorr, Philip Payne, Vardit Ravitsky, Jean-Christophe Bélisle-Pipon, Alistair Johnson, Ruth Bahr, Stephanie Watts, Donald Bolser, Jennifer Siu, Jordan Lerner-Ellis, Frank Rudzicz, Micah Boyer, Samantha Salvi Cruz, Yassmeen Abdel-Aty, Toufeeq Ahmed Syed, James Anibal, Stephen Aradi, Ana Sophia Martinez, Shaheen Awan, Steven Bedrick, Isaac Bevers, Rahul Brito, Selina Casalino, John Costello, Iris De Santiago, Enrique Diaz-Ocampo, Mohamed Ebraheem, Ellie Eiseman, Mahmoud Elmahdy, Emily Evangelista, Kenneth Fletcher, Alexander Gelbard, Anna Goldenberg, Karim Hanna, William Hersh, Lochana Jayachandran, Kaley Jenney, Kathy Jenkins, Stacy Jo, Ayush Kalia, Andrea Krussel, Elisa Lapadula, Chloe Loewith, Radhika Mahajan, Vrishni Maharaj, Siyu Miao, Matthew Mifsud, Marian Mikhael, Elijah Moothedan, Yosef Nafii, Tempestt Neal, Karlee Newberry, Evan Ng, Christopher Nickel, Trevor Pharr, Claire Premi-Bortolotto, JM Rahman, Sarah Rohde, Laurie Russell, Suketu Shah, Ahmed Shawkat, Elizabeth Silberholz, Duncan Sutherland, Venkata Swarna Mukhi, Jeffrey Tang, Jamie Toghranegar, Kimberly Vinson, Claire Wilson, Madeleine Zanin, Xijie Zeng, Theresa Zesiewicz, Robin Zhao, Pantelis Zisimopoulos, Satrajit Ghosh

A dataset of features from voice recordings and metadata to enable the development, benchmarking, and validation of clinically applicable machine-learning models for diagnosing a wide range of health conditions.

voice bridge2ai

Published: April 16, 2025. Version: 2.0.0

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

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Zishan Gu, Jiayuan Chen, Fenglin Liu, Changchang Yin, Ping Zhang

MedVH provides a visual hallucination evaluation benchmark for large language models in the medical context. It formulates tests using chest X-ray images, including multi-choice question answering and long-text generation tasks.

Published: March 11, 2025. Version: 1.0.0

Database Credentialed Access

Multimodal Clinical Monitoring in the Emergency Department (MC-MED)

Aman Kansal, Emma Chen, Tom Jin, Pranav Rajpurkar, David Kim

A multimodal dataset of deidentified clinical and physiological data from emergency department visits, aimed at enabling research on patient outcomes, care processes, and the impact of continuous monitoring on treatment during and after the COVID-19.

Published: March 3, 2025. Version: 1.0.0

Database Credentialed Access

LLaVA-Rad MIMIC-CXR Annotations

Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon

This dataset provides GPT-4 extracted sections of radiology reports from MIMIC-CXR, complementing rule-based section extractions with additional reports with findings, and removing references to priors from findings.

Published: Jan. 24, 2025. Version: 1.0.0

Database Restricted Access

Endoscapes2023, A Critical View of Safety and Surgical Scene Segmentation Dataset for Laparoscopic Cholecystectomy

Pietro Mascagni, Deepak Alapatt, Aditya Murali, Armine Vardazaryan, Alain Garcia Vazquez, Nariaki Okamoto, Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy

Endoscapes2023 enables the development of models for object detection, semantic and instance segmentation, and Critical View of Safety (CVS) prediction, contributing to safe laparoscopic cholecystectomy.

surgical safety computer assisted interventions semantic segmentation surgical data science medical imaging analysis

Published: Dec. 11, 2024. Version: 1.0.0