Atrial fibrillation (AF) often escapes detection, given its frequent paroxysmal and asymptomatic presentation. Deep learning of transthoracic echocardiograms (TTEs), which have structural information, could help identify occult AF. We created a two-stage deep learning…
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What You Should Know:
– Osso VR, the leader in immersive procedural training, announces a groundbreaking collaboration with the American College of Cardiology (ACC) to develop a state-of-the-art training curriculum for left atrial appendage occlusion…
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Eko Health celebrates a significant milestone with FDA 510(k) clearance for its AI-enabled cardiac tool, the Eko Low Ejection Fraction Tool (ELEFT). This groundbreaking innovation streamlines cardiac care by swiftly identifying low ejection fraction,…
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Although pulmonary vein isolation (PVI) gaps and extrapulmonary vein triggers contribute to recurrence after atrial fibrillation (AF) ablation, their precise mechanisms remain unproven. Our study assessed the impact of PVI gaps on rhythm outcomes…
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Improving Remote Patient Monitoring with AI
Razmi sees the potential for digital health AI to improve RPM and enable diagnostics remotely. He cites an example in which patients can now test themselves for urinary tract…
Early identification of atrial fibrillation (AF) can reduce the risk of stroke, heart failure, and other serious cardiovascular outcomes. However, paroxysmal AF may not be detected even after a two-week continuous monitoring period. We…
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What You Should Know:
– Withings, the pioneer of hybrid smartwatches, unveils its latest innovation: ScanWatch Nova.
– This timepiece seamlessly blends cutting-edge health-tracking technology with exquisite diver-style aesthetics, making it the perfect companion…
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News
OpenAI announces significant new ChatGPT features at its first developer conference, most significantly the ability for users to create a tailored version of ChatGPT – called, somewhat confusingly, a GPT – to perform specific…
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By Shania Kennedy
October 25, 2023 – Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to a…
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What You Should Know: Investigators from the Smidt Heart Institute at Cedars-Sinai found that an artificial intelligence (AI) algorithm can detect an abnormal heart rhythm in people not yet showing symptoms.The algorithm, which identified hidden signals…
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