Resources


Database Contributor Review

Salzburg Intensive Care database (SICdb), a freely accessible intensive care database

Niklas Rodemund, Andreas Kokoefer, Bernhard Wernly, Crispiana Cozowicz

The SICdb dataset, version 1.0.6 contains 27386 admissions to an ICU in an Austrian tertiary care institution.

intensive care clinical open data critical care machine learning

Published: June 12, 2023. Version: 1.0.6

Database Open Access

KINECAL

Sean Maudsley-Barton, Moi Hoon Yap

A dataset for balance falls-risk assessment and balance impairment analysis

balance posturography clinical tests postural sway falls-risk age-related changes

Published: June 8, 2023. Version: 1.0.3

Database Open Access

Facial and oral temperature data from a large set of human subject volunteers

Quanzeng Wang, Yangling Zhou, Pejman Ghassemi, Dwith Chenna, Michelle Chen, Jon Casamento, Joshua Pfefer, David Mcbride

Data for each subject include temperatures measured at 29 facial locations over four rounds with two IRTs, oral temperatures measured with a thermometer in two modes, subject demographics (gender, age, ethnicity), environmental conditions, etc.

clinical accuracy receiver operating characteristic curve infectious disease epidemics thermography fever screening thermometry inner canthus elevated body temperature facial maximum temperatures infrared thermograph pearson correlation coefficients

Published: May 24, 2023. Version: 1.0.0

Challenge Credentialed Access

MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models

João Matos, Tristan Struja, David S Restrepo, Luis Filipe Nakayama, Jack Gallifant, Luca Weishaupt, Nikita Mullangi, Maria Loureiro, Skyler Shapiro, Adrien Carrel, Leo Anthony Celi

A SaO2-SpO2 Pairs Dataset derived from MIMIC-IV

machine learning health equity pulse oximetry

Published: May 8, 2023. Version: 1.0.0

Model Credentialed Access

Medical AI Research Foundations: A repository of medical foundation models

Shekoofeh Azizi, Jan Freyberg, Laura Culp, Patricia MacWilliams, Sara Mahdavi, Vivek Natarajan, Alan Karthikesalingam

Medical AI Research Foundations is a repository of medical foundation models.

Published: April 25, 2023. Version: 1.0.0

Software Open Access

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms

Lucas McCullum, Benjamin Moody, Hasan Saeed, Tom Pollard, Xavier Borrat Frigola, Li-wei Lehman, Roger Mark

Platform for collaborative and interactive annotation of physiological waveform data.

annotation

Published: April 25, 2023. Version: 1.0.0

Database Open Access

SCG-RHC: Wearable Seismocardiogram Signal and Right Heart Catheter Database

Michael Chan, Liviu Klein, Joanna Fan, Omer Inan

This is the first public dataset that contains simultaneous recordings of Right Heart Catheter data (pressure) and chest-worn wearable patch data (electrocardiogram and seismocardiogram signals).

Published: March 31, 2023. Version: 1.0.0

Visualize waveforms

Database Open Access

CogWear: Can we detect cognitive effort with consumer-grade wearables?

Michal K Grzeszczyk, Rosmary Blanco, Paulina Adamczyk, Maciej Kus, Sylwia Marek, Ryszard Pręcikowski, Aneta Lisowska

Physiological data captured in experimental condition by three wearable devices.

Published: March 31, 2023. Version: 1.0.0

Database Restricted Access

MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications

Chihcheng Hsieh, Chun Ouyang, Jacinto C Nascimento, Joao Pereira, Joaquim Jorge, Catarina Moreira

MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications

Published: March 23, 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, Fernando Pérez-García, Max Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anton Schwaighofer, Maria Teodora Wetscherek, Hannah Richardson, Tristan Naumann, Javier Alvarez Valle, Ozan Oktay

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.

multimodal chest x-ray radiology cxr disease progression vision-language processing

Published: March 17, 2023. Version: 1.0.0