Resources


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 Restricted Access

Microbiological, Immunological and Biochemical Characteristics of the Development of Ventilator Associated Pneumonia

Natalia Sanabria-Herrera, Ingrid Gisell Bustos Moya, Luis Felipe Reyes

This study explores the respiratory microbiome's role in nosocomial lower respiratory tract infections in ICU patients. Conducted in Chía, Colombia, revealing the microbiome's impact on disease progression.

Published: Dec. 5, 2025. Version: 1.1.1

Database Credentialed Access

Antibiotic Resistance Microbiology Dataset Mass General Brigham (ARMD-MGB)

Ziming Wei, Sanjat Kanjilal

ARMD-MGB contains detailed microbiology and clinical metadata for >225,000 patients and >970,000 cultures collected over 10 years

medical informatics antimicrobial resistance electronic health records

Published: Dec. 5, 2025. Version: 1.0.0

Database Credentialed Access

EchoGraph-annotated ECHO-NOTE2NUM examples

Chieh-Ju Chao, Mohammad Asadi

EchoGraph is a model that automatically extracts and structures clinical information from echocardiogram reports. The Annotated ECHO-NOTE2NUM Dataset contains MIMIC-III echo reports enhanced with EchoGraph annotations to enhance future research.

Published: Dec. 3, 2025. Version: 1.0.0

Database Contributor Review

InReDD-Dataset-PAN924

Caio Uehara Martins, Camila Tirapelli, Hugo Gaêta-Araujo, Jose Augusto Baranauskas, Breno Zancan, Jose Carneiro, Alessandra Macedo

InReDD‑Dataset-V1 is a collection of 924 anonymised panoramic dental radiographs curated by the Interdisciplinary Research Group in Digital Dentistry (InReDD) at the University of São Paulo.

Published: Nov. 22, 2025. Version: 1.0.0

Database Credentialed Access

MedVAL-Bench: Expert-Annotated Medical Text Validation Benchmark

Asad Aali, Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi, Magdalini Paschali, Ashwin Kumar, Andrew Johnston, Karimar Amador Martinez, Eduardo Perez Guerrero, Paola Cruz Rivera, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy Zandee van Rilland, Poonam Hosamani, Kevin Keet, Minjoung Go, Evelyn Ling, David Larson, Curtis Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay Chaudhari

MedVAL-Bench is the first large-scale physician-validated benchmark for medical text validation, spanning 6 diverse medical tasks and containing 840 language model-generated outputs annotated by 12 physicians with error assessments and risk grades.

Published: Nov. 14, 2025. Version: 1.0.1

Database Credentialed Access

Predictors of Hospital Onset Infection: A Matched Retrospective Cohort Dataset

Ziming Wei, Luke Sagers, Caroline McKenna, Ted Pak, Chanu Rhee, Michael Klompas, Sanjat Kanjilal

NPA-CP is a freely accessible dataset derived from electronic health record (EHR) information at MGB between 2015 and 2024. The dataset includes 11 different pathogens and can be used to predict hospital-onset infections for these pathogens.

electronic health records infection control clinical machine learning infectious diseases hospital onset infection colonization pressure

Published: Nov. 4, 2025. Version: 1.0.0

Database Open Access

HeartCycle: A comprehensive dataset of synchronized impedance cardiography and echocardiography for accurate hemodynamic predictions

Eduardo Illueca Fernandez, Ricardo Couceiro, Farhad Abtahi, Jorge Henriques, Rui Pedro Paiva, Lino Goncalves, Jose Millet, Fernando Seoane, Jens Muehlsteff, Paulo Carvalho

Impedance cardiography dataset (ICG) which combines the ICG signals and other methodologies with the golden standard echocardiographys (ECG). Researchers can use this dataset to compare the ICG points with the real hemodynamic events.

machine learning cardiovascular physiology electrophysiological study echocardiography impedance cardiography

Published: Nov. 2, 2025. Version: 1.0.0