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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Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval in patients with high-risk genotypes. We developed a deep learning approach combining electrocardiogram…
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The 12-lead electrocardiogram (ECG) is an integral component to the diagnosis of a multitude of cardiovascular conditions. It is performed using a complex set of skin surface electrodes, limiting its use outside traditional clinical…
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FibriCheck, a DigitalHealth.London Accelerator alumnus company, announce their Food and Drug Administration (FDA) clearance and the commercial launch of their technology within the US. Their medically certified technology utilises consumer devices and redefines how…
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What You Should Know:
– AliveCor, the global leader in AI-powered cardiology, today announced that the American Medical Association (AMA) has granted new Category III Current Procedural Terminology (CPT) codes that are applicable to the company’s…
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AI-enabled ECGs have previously been shown to accurately predict patient sex in adults and correlate with sex hormone levels. We aimed to test the ability of AI-enabled ECGs to predict sex in the pediatric…
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The electrocardiogram (ECG) can capture obesity-related cardiac changes. Artificial intelligence-enhanced ECG (AI-ECG) can identify subclinical disease. We trained an AI-ECG model to predict body mass index (BMI) from the ECG alone. Developed from 512,950…
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