What You Should Know:
– Emory University has launched the Emory Empathetic AI for Health Institute as part of its AI.Humanity initiative to leverage AI and big data to transform healthcare globally.
– The institute aims…
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Pioneering research highlights AI’s proficiency in diagnosing heart valve disease and predicting cardiovascular risks with notable accuracy. One study validates an AI-enabled digital stethoscope’s superiority over traditional methods, achieving a 94.1% detection rate. Another…
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By Shania Kennedy
November 06, 2023 – Artificial intelligence (AI) and deep learning tools may be capable of accurately detecting heart valve disease and predicting the risk of cardiovascular disease events, according to two preliminary research…
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A major healthcare revolution is underway at the heart of the Arabian Peninsula. Known for its rich history and cultural heritage, Saudi Arabia is now leading the charge in digital healthcare innovation. This evolution…
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Our community is the heart of openEHR and community support is instrumental in expanding the use of openEHR throughout the world.openEHR members are part of a collective effort to improve the quality and accessibility…
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Thousands of patients with heart failure will now be treated from home as the NHS expands its world-leading virtual wards scheme, NHS England said Wednesday. The expansion means people can remain active and maintain…
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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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Sibel Health, a spin-out of Northwestern University, announced the release of its physiological monitoring platform for clinical trial use dubbed Discovery alongside a partnership with AI-powered clinical trial solutions company Medidata. The Illinois-based healthcare technology…
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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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About 1 in 3 people with atrial fibrillation — the most common type of heart rhythm disorder — do not know they have the condition, which is problematic considering it increases the risk of…
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