Resources


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 Pediatric Dataset

Yael Bensoussan, Alexandros Sigaras, Anais Rameau, Olivier Elemento, Maria Powell, David Dorr, Philip Payne, Vardit Ravitsky, Jean-Christophe Bélisle-Pipon, Ruth Bahr, Stephanie Watts, Donald Bolser, Jennifer Siu, Jordan Lerner-Ellis, Frank Rudzicz, Micah Boyer, Yassmeen Abdel-Aty, Toufeeq Ahmed Syed, James Anibal, Dona Amraei, Stephen Aradi, Kirollos Armosh, Ana Sophia Martinez, Shaheen Awan, Steven Bedrick, Helena Beltran, Alexander Bernier, Moroni Berrios, Isaac Bevers, Alden Blatter, Rahul Brito, Amy Brown, Johnathan Brown, Léo Cadillac, Selina Casalino, John Costello, Abhijeet Dalal, Iris De Santiago, Enrique Diaz-Ocampo, Amanda Doherty-Kirby, Mohamed Ebraheem, Ellie Eiseman, Mahmoud Elmahdy, Renee English, Emily Evangelista, Kenneth Fletcher, Hortense Gallois, Gaelyn Garrett, Alexander Gelbard, Anna Goldenberg, Karim Hanna, William Hersh, Jennifer Jain, Lochana Jayachandran, Kaley Jenney, Kathy Jenkins, Stacy Jo, Alistair Johnson, Ayush Kalia, Megha Kalia, Zoha Khawa, Cindy Kostelnik, Alisa Krause, Andrea Krussel, Elisa Lapadula, Genelle Leo, Justin Levinsky, Chloe Loewith, Radhika Mahajan, Vrishni Maharaj, Siyu Miao, LeAnn Michaels, Matthew Mifsud, Marian Mikhael, Elijah Moothedan, Yosef Nafii, Tempestt Neal, Karlee Newberry, Evan Ng, Christopher Nickel, Amanda Peltier, Trevor Pharr, Michaela Pnacekova, Matthew Pontell, Claire Premi-Bortolotto, Parnaz Rafatjou, JM Rahman, John Ramos, Sarah Rohde, Michael de Riesthal, Jillian Rossi, Laurie Russell, Samantha Salvi Cruz, Joyce Samuel, Suketu Shah, Ahmed Shawkat, Elizabeth Silberholz, John Stark, Lala Su, Shrramana Ganesh Sudhakar, Duncan Sutherland, Venkata Swarna Mukhi, Jeffrey Tang, Luka Taylor, Jamie Toghranegar, Julie Tu, Megan Urbano, Gavin Victor, Kimberly Vinson, Jordan Wilke, Claire Wilson, Madeleine Zanin, Xijie Zeng, Theresa Zesiewicz, Robin Zhao, Pantelis Zisimopoulos, Satrajit Ghosh

A dataset of questionnaire responses, spectrograms, and other information for pediatric participants collected for the Bridge2AI voice as a biomarker of health project.

voice bridge2ai

Published: Dec. 17, 2025. Version: 1.0.0

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, Ruth Bahr, Stephanie Watts, Donald Bolser, Jennifer Siu, Jordan Lerner-Ellis, Frank Rudzicz, Micah Boyer, Yassmeen Abdel-Aty, Toufeeq Ahmed Syed, James Anibal, Dona Amraei, Stephen Aradi, Kirollos Armosh, Ana Sophia Martinez, Shaheen Awan, Steven Bedrick, Helena Beltran, Alexander Bernier, Moroni Berrios, Isaac Bevers, Alden Blatter, Rahul Brito, Amy Brown, Johnathan Brown, Léo Cadillac, Selina Casalino, John Costello, Abhijeet Dalal, Iris De Santiago, Enrique Diaz-Ocampo, Amanda Doherty-Kirby, Mohamed Ebraheem, Ellie Eiseman, Mahmoud Elmahdy, Renee English, Emily Evangelista, Kenneth Fletcher, Hortense Gallois, Gaelyn Garrett, Alexander Gelbard, Anna Goldenberg, Karim Hanna, William Hersh, Jennifer Jain, Lochana Jayachandran, Kaley Jenney, Kathy Jenkins, Stacy Jo, Alistair Johnson, Ayush Kalia, Megha Kalia, Zoha Khawa, Cindy Kostelnik, Alisa Krause, Andrea Krussel, Elisa Lapadula, Genelle Leo, Justin Levinsky, Chloe Loewith, Radhika Mahajan, Vrishni Maharaj, Siyu Miao, LeAnn Michaels, Matthew Mifsud, Marian Mikhael, Elijah Moothedan, Yosef Nafii, Tempestt Neal, Karlee Newberry, Evan Ng, Christopher Nickel, Amanda Peltier, Trevor Pharr, Michaela Pnacekova, Matthew Pontell, Claire Premi-Bortolotto, Parnaz Rafatjou, JM Rahman, John Ramos, Sarah Rohde, Michael de Riesthal, Jillian Rossi, Laurie Russell, Samantha Salvi Cruz, Joyce Samuel, Suketu Shah, Ahmed Shawkat, Elizabeth Silberholz, John Stark, Lala Su, Shrramana Ganesh Sudhakar, Duncan Sutherland, Venkata Swarna Mukhi, Jeffrey Tang, Luka Taylor, Jamie Toghranegar, Julie Tu, Megan Urbano, Gavin Victor, Kimberly Vinson, Jordan Wilke, 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: Dec. 16, 2025. Version: 3.0.0

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: Dec. 10, 2025. Version: 1.0.1

Database Contributor Review

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

Mel Molina, Nikita Mehandru, Niloufar Golchini, Ahmed Alaa

The ER-REASON dataset is a longitudinal collection of 25,174 de-identified clinical notes for 3,437 patients admitted to the emergency room (ER) at a large academic medical center between March 1, 2022, and March 31, 2024.

Published: Oct. 23, 2025. Version: 1.0.0

Model Credentialed Access

RadVLM model

Nicolas Deperrois, Hidetoshi Matsuo, Samuel Ruiperez-Campillo, Moritz Vandenhirtz, Sonia Laguna, Alain Ryser, Koji Fujimoto, Mizuho Nishio, Thomas Sutter, Julia Vogt, Jonas Kluckert, Thomas Frauenfelder, Christian Bluethgen, Farhad Nooralahzadeh, Michael Krauthammer

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

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, supporting research on patient outcomes, care processes, and the effects of continuous monitoring during and after the COVID-19 pandemic.

Published: Sept. 25, 2025. Version: 1.0.1

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