Resources


Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.

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Published: Sept. 16, 2025. Version: 1.1.0

Database Credentialed Access

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports

Jean-Benoit Delbrouck

RadGraph-XL is a large, expert-annotated dataset of 2,300 radiology reports covering multiple modalities and anatomies. It enables accurate extraction of clinical entities and relations for downstream medical AI tasks.

Published: Sept. 12, 2025. Version: 1.0.0

Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, Khai Truong, Alex Mariakakis

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

wearables hormones menstrual health multimodal health health sensor data womens health

Published: Sept. 9, 2025. Version: 1.0.0

Database Open Access

Myocardial perfusion scintigraphy image database

Wesley Calixto, Solange Nogueira, Fernanda Luz, Thiago Fellipe Ortiz de Camargo

This database provides a collection of myocardial perfusion scintigraphy images. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions.

nifti artificial intelligence anonymization clinical diagnosis myocardial perfusion systems modeling myocardial perfusion scintigraphy dicom metadata ventricular walls coronary artery disease convolutional neural networks automated segmentation

Published: Sept. 9, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext-Instr: A Dataset of 450K+ EHR-Grounded Instruction-Following Examples

Zhenbang Wu, Anant Dadu, Mike Nalls, Faraz Faghri, Jimeng Sun

This dataset contains 450K open-ended instruction-following examples generated using GPT-3.5 based on the MIMIC-IV EHR database.

large language models medical question answering instruction tuning

Published: Sept. 9, 2025. Version: 1.0.0

Database Restricted Access

HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis

Meishar Meisel, Benjamin Alfred Cohen, Meital Baskin, Beatrice Tiosano, Joachim Behar, Eran Berkowitz

The HYAMD dataset comprises 1,560 high-resolution fundus images from 325 patients, aimed at validating machine learning models for age-related macular degeneration (AMD) diagnosis.

Published: Sept. 9, 2025. Version: 1.0.0

Database Open Access

MIMIC-IV Clinical Database Demo on FHIR

Alex Bennett, Hannes Ulrich, Joshua Wiedekopf, Piotr Szul, John Grimes, Alistair Johnson

The MIMIC-IV Clinical Database Demo on FHIR is a 100 patient subset of the MIMIC-IV v2.2 and MIMIC-IV-ED v2.2 clinical databases converted into the Fast Healthcare Interoperability Resources (FHIR) format.

fhir electronic health records mimic

Published: Aug. 27, 2025. Version: 2.1.0

Database Restricted Access

Community-Acquired Pneumonia, Endotypes and Phenotypes (NACef): Prospective, observational cohort study of Translational Medicine

Natalia Sanabria-Herrera, Esteban Garcia Gallo, Luis Felipe Reyes

Community-Acquired Pneumonia (CAP) poses a significant health risk, linked to high in-hospital morbidity and mortality rates. The dataset includes clinical details of 768 CAP patients at Clinica Universidad de La Sabana, Colombia.

Published: Aug. 21, 2025. Version: 2.0.1

Database Credentialed Access

CXR-Align: A Benchmark for CXR-Report Alignment with Negations

Hanbin Ko

CXR-Align is a benchmark dataset created to evaluate vision-language models' capability to interpret negations in chest X-ray (CXR) reports, featuring systematically modified reports from MIMIC-CXR.

Published: Aug. 21, 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, 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, Alexander Bernier, Isaac Bevers, Rahul Brito, Selina Casalino, John Costello, Iris De Santiago, Enrique Diaz-Ocampo, Mohamed Ebraheem, Ellie Eiseman, Mahmoud Elmahdy, Emily Evangelista, Kenneth Fletcher, Hortense Gallois, 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, Megan Urbano, Trevor Pharr, Matthew Pontell, 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: Aug. 18, 2025. Version: 2.0.1