What You Should Know: A new machine learning model uses electrocardiogram (ECG) readings to diagnose and classify heart attacks faster and more accurately than current approaches, according to a study led by University of Pittsburgh researchers that published today in Nature Medicine.The model was developed by co-author Ervin Sejdić, Ph.D., associate professor at The Edward S. Rogers Department of Electrical and Computer Engineering at the University of Toronto and the Research
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heart arrhythmia detection
AliveCor Launches KardiaMobile Card, World’s First Credit-Card-Sized Personal ECG
What You Should Know: - Today, AliveCor is launching KardiaMobile Card, the latest generation of personal electrocardiogram (ECG) technology that, at the size of the credit card, is the thinnest, lightest ECG device ever created and fits in any wallet. - The FDA-cleared KardiaMobile Card detects six of the most common heart arrhythmias in 30 seconds – something no other personal ECG can do – making it the most important card in your wallet. KardiaMobile Card: Instant Feedback on Heart
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Google Awards $1M to U. Of Sydney to Develop AI Solution to Prevent Heart Attacks
The University of Sydney’s Westmead Applied Research Centre has been awarded $1M as part of Australia’s inaugural Google.org AI Impact Challenge prize to develop a customized digital health solution powered by artificial intelligence (AI) to reduce the risk of heart attacks. The prize was presented to Westmead Applied Research Centre (WARC) led by Professor Clara Chow, a cardiologist at Westmead Hospital and the University of Sydney’s Westmead Clinical School as well as academic
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Stanford Researchers Develop Algorithm to Diagnose Heart Arrhythmias
Stanford researchers from the Machine Learning Group have developed an algorithm that is able to outperform cardiologists in arrhythmia detection, according to research published on arXiv. The new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias and has the ability to sort through data from rural locations where people do not have routine access to cardiologists. Traditionally, patients suspected to have an arrhythmia will often get an electrocardiogram
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