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 * Responsible use of MIMIC data with online services like GPT
 * Guidelines for creating datasets and models from MIMIC
 * Delays in reviewing applications for credentialed access


PHYSIONET

The Research Resource for Complex Physiologic Signals


Data Software Challenges Tutorials



FEATURED RESOURCES


Challenge Credentialed Access


SNOMED CT ENTITY LINKING CHALLENGE

Will Hardman, Mark Banks, Rory Davidson, Donna Truran, Nindya Widita
Ayuningtyas, Hoa Ngo, Alistair Johnson, Tom Pollard

272 discharge notes from the MIMIC-IV-Note dataset annotated with SNOMED CT
concepts.

snomed entity linking clinical annotation

Published: Dec. 19, 2023. Version: 1.0.0

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Database Open Access


VITALDB, A HIGH-FIDELITY MULTI-PARAMETER VITAL SIGNS DATABASE IN SURGICAL
PATIENTS

Hyung-Chul Lee, Chul-Woo Jung

VitalDB, a high-fidelity multi-parameter vital signs database in surgical
patients

waveform anesthesia vitaldb intraoperative biosignal ecg

Published: Sept. 21, 2022. Version: 1.0.0

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Database Credentialed Access


MIMIC-IV

Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi,
Roger Mark

Large database of de-identified health information from patients admitted to
Beth Israel Deaconess Medical Center

mimic critical care machine learning intensive care unit

Published: Jan. 6, 2023. Version: 2.2

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Database Credentialed Access


MIMIC-CXR DATABASE

Alistair Johnson, Tom Pollard, Roger Mark, Seth Berkowitz, Steven Horng

Chest radiographs in DICOM format with associated free-text reports.

mimic computer vision machine learning chest x-rays radiology natural language
processing

Published: Sept. 19, 2019. Version: 2.0.0

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Database Credentialed Access


BRAX, A BRAZILIAN LABELED CHEST X-RAY DATASET

Eduardo Pontes Reis, Joselisa Paiva, Maria Carolina Bueno da Silva, Guilherme
Alberto Sousa Ribeiro, Victor Fornasiero Paiva, Lucas Bulgarelli, Henrique Lee,
Paulo Victor dos Santos, vanessa brito, Lucas Amaral, Gabriel Beraldo, Jorge
Nebhan Haidar Filho, Gustavo Teles, Gilberto Szarf, Tom Pollard, Alistair
Johnson, Leo Anthony Celi, Edson Amaro

BRAX contains 24,959 chest radiography exams and 40,967 images acquired in a
large general Brazilian hospital. All images have been read by trained
radiologists and 14 labels were derived from Brazilian Portuguese reports using
NLP.

chest x-ray dataset artificial intelligence

Published: June 17, 2022. Version: 1.1.0

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Database Credentialed Access


EICU COLLABORATIVE RESEARCH DATABASE

Tom Pollard, Alistair Johnson, Jesse Raffa, Leo Anthony Celi, Omar Badawi, Roger
Mark

Multi-center database comprising deidentified health data associated with over
200,000 admissions to ICUs across the United States between 2014-2015.

telemedicine icu critical care

Published: April 15, 2019. Version: 2.0

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LATEST RESOURCES


Database Open Access


RADIOLOGY REPORT GENERATION MODELS EVALUATION DATASET FOR CHEST X-RAYS
(RADEVALX)

Amos Rubin Calamida, Farhad Nooralahzadeh, Morteza Rohanian, Mizuho Nishio, Koji
Fujimoto, Michael Krauthammer

The RadEvalX is a publicly available dataset developed similarly to the ReXVal
dataset. RedEvalX focuses on radiologist evaluations of errors found in
automatically generated radiology reports.



Published: June 18, 2024. Version: 1.0.0

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Database Open Access


GESTURE RECOGNITION AND BIOMETRICS ELECTROMYOGRAM (GRABMYO)

Ning Jiang, Ashirbad Pradhan, Jiayuan He

Open-access dataset of electromyogram (EMG) recordings collected from the wrist
and forearm muscles of 43 people while they performed hand gestures.



Published: June 7, 2024. Version: 1.1.0

Visualize waveforms

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Model Credentialed Access


ME-LLAMA: FOUNDATION LARGE LANGUAGE MODELS FOR MEDICAL APPLICATIONS

Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing
Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, Xinyu Zhou, Huan He, Lucila
Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian

Me-LLaMA is a family of large language models for medical applications trained
using clinical text with LLaMA2 models as the base. We release model weights for
the foundation models as well as the chat-enhanced models.

large language models

Published: June 5, 2024. Version: 1.0.0

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Database Credentialed Access


A TEMPORAL DATASET FOR RESPIRATORY SUPPORT IN CRITICALLY ILL PATIENTS

Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Sicheng Hao, Leo Anthony
Celi, Hyung-Chul Lee

A benchmark dataset offering hourly records over a 90-day period for 50,920 ICU
subjects, including dynamic pulmonary function data and a spectrum of covariates
for respiratory intervention analyses.

oberservational data time-series

Published: May 31, 2024. Version: 1.0.0

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Database Credentialed Access


MIMIC-IV-EXT CLINICAL DECISION MAKING: A MIMIC-IV DERIVED DATASET FOR EVALUATION
OF LARGE LANGUAGE MODELS ON THE TASK OF CLINICAL DECISION MAKING FOR ABDOMINAL
PATHOLOGIES

Paul Hager, Friederike Jungmann, Daniel Rueckert

A curated set of ED clinical decision making cases for four abdominal
pathologies. Each case contains the exams required to diagnose including HPI,
physical examination, laboratory tests, and imaging. Relevant treatment
information is also included.

clinical decision making emergency room diagnosis abdominal pathologies
treatment plan large language models

Published: May 17, 2024. Version: 1.0

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Database Restricted Access


DREAMT: DATASET FOR REAL-TIME SLEEP STAGE ESTIMATION USING MULTISENSOR WEARABLE
TECHNOLOGY

Ke Wang, Jiamu Yang, Ayush Shetty, Jessilyn Dunn

Dataset for Real-time sleep stage EstimAtion using Multisensor wearable
Technology

wearable biomedical sleep disorders time series classification

Published: April 30, 2024. Version: 1.0.0

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More resources


NEWS



DELAYS IN REVIEWING APPLICATIONS FOR CREDENTIALED ACCESS

June 17, 2024

As a result of staffing changes in our research group, applications
for credentialed access are likely to be subject to significant delays. We are
doing our best to deal with the waitlist quickly, handling applications in the
order in which they are received. To help ensure that your application is
successful, please remember to:

 * Include a copy of your CITI training report (not the certificate).
 * Remind your reference to reply promptly when contacted.
 * Check your application details are correct before submitting.
 * Add an institutional or educational email address as your primary email.

We apologize for the inconvenience. Please bear with us during this busy time!

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GEORGE B. MOODY PHYSIONET CHALLENGE 2024 IS TEAMING UP WITH DATA SCIENCE AFRICA

May 18, 2024

The George B. Moody PhysioNet Challenge 2024 is teaming up with Data Science
Africa (DSA) to innovate cardiac care through signal processing & machine
learning at Nyeri, Kenya, for DSA's 10 year anniversary in June 2024.

DSA aims to create a hub in the network of data science researchers across
Africa and strengthen the African data science
community. #DSA2024Nyeri https://www.datascienceafrica.org/dsa2024nyeri/blog/summer-school

Read more: https://moody-challenge.physionet.org/2024/

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GUIDELINES FOR CREATING DATASETS AND MODELS FROM MIMIC

News from: MIMIC-IV v2.2.

April 24, 2024

We recognize that there is value in creating datasets or models that are either
derived from MIMIC or which augment MIMIC in some way (for example, by adding
annotations). Here are some guidelines on creating these datasets and models:

 * Any derived datasets or models should be treated as containing sensitive
   information. If you wish to share these resources, they should be shared on
   PhysioNet under the same agreement as the source data.
 * If you would like to use the MIMIC acronym in your project name, please
   include the letters “Ext” (for example, MIMIC-IV-Ext-YOUR-DATASET"). Ext may
   either indicate “extracted” (e.g. a derived subset) or “extended” (e.g.
   annotations), depending on your use case.

Read more: https://mimic.mit.edu/docs/community/derived/

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NETWORK ISSUES AT MIT, IMPACTING THE AVAILABILITY OF PHYSIONET

April 9, 2024

We are currently experiencing network issues at MIT, impacting the availability
of PhysioNet services. We apologize for any inconvenience this may cause and are
working to resolve the issue as soon as we can.

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GEORGE B. MOODY PHYSIONET CHALLENGE 2024: CHALLENGE UPDATE

March 14, 2024

We are delighted to announce that the George B. Moody PhysioNet Challenges are
partnering with Data Science Africa (DSA) and the IEEE Signal Processing
Society's Challenges and Data Collections Committee (CDCC). The IEEE CDCC is
supporting this year’s Challenge with additional cash prizes for participating
teams from Africa and the Challenge organizers will be running a workshop at
this year's annual DSA meeting in Kenya. In connection with this, the Challenge
organizers will be running a workshop at DSA in Kenya from June 2-5th 2024.
Please note that we are also accepting (and scoring) entries, and there are two
deadlines coming up - April 8th to submit a preliminary entry to the
Challenge and April 15th to submit a (placeholder) abstract to CinC.

Read more: https://physionet.org/news/post/challenge-2024

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More news

PhysioNet is a repository of freely-available medical research data, managed by
the MIT Laboratory for Computational Physiology.

Supported by the National Institute of Biomedical Imaging and Bioengineering
(NIBIB) under NIH grant number R01EB030362.

For more accessibility options, see the MIT Accessibility Page.

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