The 12-lead electrocardiogram (ECG) is inexpensive and widely available. Whether conditions across the human disease landscape can be detected using the ECG is unclear. We developed a deep learning denoising autoencoder and systematically evaluated…
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Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to…
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Leeds Teaching Hospitals NHS Trust is trialling an AI tool which helps identify people at risk of developing atrial fibrillation (AF), a condition that makes them five times more likely to have a potentially…
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Circular, maker of smart ring technology, announced its next-generation wearable, the Ring 2, which includes ECG capability with its FDA-cleared AFib detection algorithm that provides real-time heart health data to wearers. The titanium Ring 2…
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Deep learning analysis of electrocardiography (ECG) may predict cardiovascular outcomes. We present a novel multi-task deep learning model, the ECG-MACE, which predicts the one-year first-ever major adverse cardiovascular events (MACE) using 2,821,889 standard 12-lead…
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South Korean medical imaging AI company Neurophet has received second clearance for its brain image analysis software in the United States.It obtained another 510(k) from the US Food and Drug Administration for the latest…
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Researchers at Imperial College London and Imperial College Healthcare NHS Trust have developed an AI tool which could identify people at risk of type 2 diabetes up to 10 years before they begin to…
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The NHS in England is to trial an AI tool that can predict patients’ risk of developing and worsening heart disease, and their risk of early death, using an electrocardiogram (ECG).
Researchers at Imperial College…
About a million possible cases of atrial fibrillation, a known risk for stroke, go undetected in Japan. A local startup is introducing an innovative AI targeting this growing danger.Founded in 2019, Cardio Intelligence develops…
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The application of artificial intelligence (AI) algorithms to 12-lead electrocardiogram (ECG) provides promising age prediction models. We explored whether the gap between the pre-procedural AI-ECG age and chronological age can predict atrial fibrillation (AF)…
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