Resources


Model Credentialed Access

Shareable Artificial Intelligence to Extract Cancer Outcomes from Electronic Health Records for Precision Oncology Research

Kenneth Kehl, Pavel Trukhanov, Christopher Fong, et al.

The DFCI-imaging-student and DFCI-medonc-student AI models for extracting cancer outcomes from imaging reports and medical oncologist notes from electronic health records.

Published: Oct. 24, 2024. Version: 1.0.0

Database Contributor Review

A multimodal dental dataset facilitating machine learning research and clinic services

Wenjing Liu, Yunyou Huang, Suqin Tang

A new dental dataset that contains 169 patients, three commonly used dental image models, and images of various health conditions of the oral cavity.

Published: Oct. 11, 2024. Version: 1.1.0

Database Credentialed Access

ENCoDE, mEasuring skiN Color to correct pulse Oximetry DisparitiEs: skin tone and clinical data from a prospective trial on acute care patients.

Sicheng Hao, Katelyn Dempsey, João Matos, et al.

A prospective collected EHR-linked skin tone measurements database in OMOP format with emphasis on pulse oximetry disparities.

Published: Aug. 22, 2024. Version: 1.0.0

Database Credentialed Access

mBRSET, a Mobile Brazilian Retinal Dataset

Luis Filipe Nakayama, Lucas Zago Ribeiro, David Restrepo, et al.

mBRSET - a Mobile Brazilian Retinal Dataset

ophthalmology retina

Published: June 26, 2024. Version: 1.0

Database Open Access

A Multi-Modal Satellite Imagery Dataset for Public Health Analysis in Colombia

Sebastian A Cajas, David Restrepo, Dana Moukheiber, et al.

Multi-Modal Satellite imagery Dataset in Colombia: A public health analysis with spatiotemporally aligned satellite images and its corresponding metadata across 81 municipalities (2016-2018), facilitating multimodal AI applications.

multimodality satellite imagery

Published: Jan. 30, 2024. Version: 1.0.0

Database Open Access

Heart and lung segmentations for MIMIC-CXR/MIMIC-CXR-JPG and Montgomery County TB databases

Benjamin Duvieusart, Felix Krones, Guy Parsons, et al.

Heart and lung segmentations for 200 MIMIC-CXR/MIMIC-CXR-JPG chest x-rays and heart segmentations for 138 Montgomery County tuberculosis chest X-rays.

segmentation heart and lungs montgomery country tb mimic-cxr

Published: Aug. 14, 2023. Version: 1.0.0

Database Credentialed Access

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

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, et al.

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

Database Credentialed Access

Eye Gaze Data for Chest X-rays

Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, et al.

This dataset was a collected using an eye tracking system while a radiologist interpreted and read 1,083 public CXR images. The dataset contains the following aligned modalities: image, transcribed report text, dictation audio and eye gaze data.

convolutional network heatmap eye tracking explainability audio chest cxr machine learning chest x-ray radiology deep learning multimodal

Published: Sept. 12, 2020. Version: 1.0.0

Database Open Access

Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection

Or Abramovich, Hadas Pizem, Jonathan Fhima, et al.

HYGD is a rigorously annotated fundus image dataset with gold-standard clinical labels designed to improve and benchmark deep learning models for accurate glaucoma detection.

ophthalmology retina glaucoma dfi gon fundus gold-standard

Published: March 16, 2026. Version: 1.1.0

Database Contributor Review

InReDD-Dataset-PAN924

Caio Uehara Martins, Camila Tirapelli, Hugo Gaêta-Araujo, et al.

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