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For the past 23 years, PhysioNet and Computing in Cardiology have co-hosted a series of annual challenges, now called the George B. Moody PhysioNet Challenges, to tackle clinically interesting questions that are either unsolved or not well-solved.
The George B. Moody PhysioNet Challenge 2022 invites participants to identify murmurs in heart sound recordings collected from multiple auscultation locations.
We ask participants to design and implement a working, open-source algorithm that, based only on the provided recordings and routine demographic data, can determine whether any murmurs are audible from a patient's recordings. We have designed a scoring function that reflects the burden of algorithmic pre-screening, expert screening, treatment, and missed diagnoses. The team with the lowest score wins the Challenge.
Please check the below links for information about current and past Challenges, including important details about scoring and test data for previous Challenges.
- July 8, 2022: We published an article, Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine, in JAMA. This article explores the clinical utility of performance metrics for AI from the perspective of the Challenges.
- February 1, 2022: We launched the PhysioNet Challenge 2022: Heart Murmur Detection from Phonocardiogram Recordings.
- ... see previous news articles here.
- 2021: Will Two Do? Varying Dimensions in Electrocardiography
59+ papers and contributed software ongoing - 2020: Classification of 12-lead ECGs
61+ papers and contributed software ongoing - 2019: Early Prediction of Sepsis from Clinical Data
55+ papers and 91 contributed software - 2018: You Snooze, You Win
23 papers and 19 contributed software - 2017: AF Classification from a Short Single Lead ECG Recording
57 papers and 64 contributed software - 2016: Classification of Normal/Abnormal Heart Sound Recordings
11 papers and 48 contributed software - 2015: Reducing False Arrhythmia Alarms in the ICU
20 papers and 28 contributed software - 2014: Robust Detection of Heart Beats in Multimodal Data
15 papers and 35 contributed software - 2013: Noninvasive Fetal ECG
29 papers and 17 contributed software - 2012: Predicting Mortality of ICU Patients
17 papers and 58 contributed software - 2011: Improving the Quality of ECGs Collected using Mobile Phones
17 papers and 7 contributed software - 2010: Mind the Gap
13 papers and 5 contributed software - 2009: Predicting Acute Hypotensive Episodes
11 papers and 4 contributed software - 2008: Detecting and Quantifying T-Wave Alternans
19 papers and 5 + 1 contributed software - 2007: Electrocardiographic Imaging of Myocardial Infarction
6 papers - 2006: QT Interval Measurement
20 papers and 6 contributed software - 2005: The First Five Challenges Revisited
5 papers - 2004: Spontaneous Termination of Atrial Fibrillation
12 papers and 1 contributed software - 2003: Distinguishing Ischemic from Non-Ischemic ST Changes
3 papers and 1 contributed software - 2002: RR Interval Time Series Modeling
12 papers and 10 contributed software - 2001: Predicting Paroxysmal Atrial Fibrillation
9 papers - 2000: Detecting Sleep Apnea from the ECG
13 papers and 1 contributed software
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant R01EB030362.