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heart arrhythmia detection

​​AliveCor Unveils KardiaMobile 6L Max & KardiaAlert for Advanced Personal ECG Monitoring

by Fred Pennic 05/06/2025 Leave a Comment

​​AliveCor Unveils KardiaMobile 6L Max & KardiaAlert for Advanced Personal ECG Monitoring

What You Should Know:  - AliveCor, a leader in FDA-cleared personal electrocardiogram (ECG) technology, today announced the launch of its most advanced personal ECG system, the AI-powered KardiaMobile® 6L Max.  - Accompanying this device is KardiaAlert™, a first-of-its-kind feature available exclusively to subscribers of AliveCor's KardiaCare service. Together, these innovations aim to provide users with more comprehensive detections and insights, monitor heart rhythms for
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AISAP’s AI-Powered Cardiac Ultrasound Receives FDA Clearance

by Jasmine Pennic 08/22/2024 Leave a Comment

FDA Clears First AI-assisted Point-of-Care Software for Structural Heart Disease and Heart Failure Diagnosis

What You Should Know:  - AISAP, a medical technology company specializing in AI-powered point-of-care assisted diagnosis (POCAD) solutions, announced today that it has received FDA 510(k) clearance for its groundbreaking CARDIO software platform.  - AISAP CARDIO is a cloud-based software package that combines four computer-assisted diagnosis (CADx) modules for valvular pathologies and eight key measurements into a single, user-friendly platform.  Point-of-Care
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WearLinq Acquires AMI Cardiac Monitoring, Raises $6.7M for FDA-Cleared 6-Lead ECG Device

by Fred Pennic 05/21/2024 Leave a Comment

WearLinq Acquires AMI Cardiac Monitoring, Raises $6.7M for FDA 510(k) Cleared 6-Lead ECG Device

What You Should Know:  - WearLinq, a leader in wearable health monitoring, announced a strategic acquisition of AMI Cardiac Monitoring, LLC, a seasoned player in ambulatory cardiac monitoring.  - The acquisition, coupled with a recent $6.7M funding round, positions WearLinq to significantly expand access to their innovative eWave 6-lead ECG monitor and revolutionize the fight against atrial fibrillation (AFib), which recently received FDA 510(k) clearance.  Tackling the
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New AI ECG Algorithm Beats Standard Approaches for Detecting Heart Attacks

by Syed Hamza Sohail 06/29/2023 Leave a Comment

New AI ECG Algorithm Beats Standard Approaches for Detecting Heart Attacks

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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AliveCor Launches KardiaMobile Card, World’s First Credit-Card-Sized Personal ECG

by Jasmine Pennic 02/01/2022 Leave a Comment

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

by Fred Pennic 08/19/2019 Leave a Comment

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

by Jasmine Pennic 07/10/2017 Leave a Comment

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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