By Shania Kennedy
June 08, 2023 – Researchers from Mount Sinai have developed deep learning (DL)-based model for electrocardiogram (ECG) analysis that enables the interpretation of ECGs as language and may improve ECG-related diagnoses, according to…
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Researchers at Mount Sinai in New York City say they’ve developed a new artificial intelligence model designed for electrocardiogram analysis.WHY IT MATTERSThe innovative AI approach could vastly improve the efficacy and accuracy of ECG…
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The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical problems may result in suboptimal performance when pre-training…
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Tech giant Samsung Electronics announced it received FDA clearance for its Health Monitor app’s Irregular Heart Rhythm Notification (IHRN) feature. IHRN works with the app’s electrocardiogram function to monitor heart rhythms suggestive of atrial fibrillation,…
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Researchers at the University of Texas at Austin have developed a new chest wearable that can obtain both electrocardiogram and seismocardiogram data from the underlying heart. While basic ECG can be monitored via smart…
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What You Should Know:Today, Samsung announced today its Irregular Heart Rhythm Notification feature of the Samsung Health Monitor App has been cleared by the FDA. With this new feature, Galaxy Watch users can be alerted when…
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The following is a guest article by Steven LeBoeuf, Ph.D., Co-Founder & President at Valencell
Over the past decade, a motley bouquet of press releases [1, 2, 3], media reports [4, 5, 6], and peer-reviewed…
Anticipation of clinical decompensation is essential for effective emergency and critical care. In this study, we develop a multimodal machine learning approach to predict the onset of new vital sign abnormalities (tachycardia, hypotension, hypoxia)…
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To drive health innovation that meets the needs of all and democratize healthcare, there is a need to assess the generalization performance of deep learning (DL) algorithms across various distribution shifts to ensure that…
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Heart health issues are intermittent and often asymptomatic, leaving issues undetected with individuals unaware of any underlying problem. This presents itself in places where we least expect them, for example Danish soccer player Christian…
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