The World Health Organization (WHO) announced it is launching S.A.R.A.H, or Smart AI Resource Assistant for Health, a generative AI assistant designed to provide information on major health topics such as healthy lifestyle habits…
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The World Health Organization said it has expanded its generative artificial intelligence assistant, first launched during the COVID-19 pandemic as Florence, to help people everywhere live healthier lives.S.A.R.A.H, or Sarah, was created using an…
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Digital cardiac and lung disease health startup Eko Health announced it received FDA 510(k) clearance for its AI-enabled cardiac tool that helps with the early detection of low ejection fraction, a key indicator of…
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What You Should Know:
– Eko Health, a provider of AI-powered heart and lung disease detection today announced FDA clearance for its Low EF detection AI.
– Built in collaboration with Mayo Clinic, the AI allows…
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A research collaboration between Brainomix and AstraZeneca has shown that Brainomix’s AI-powered e-Lung software can more accurately identify lung fibrosis patients most at risk of decline.Brainomix published a study in the peer-reviewed journal ‘American…
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By Shania Kennedy
March 26, 2024 – Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine.
The automated detection tool…
Cutting-edge technology revolutionizes COVID-19 diagnosis through lung ultrasound images, offering swift and accurate detection. Researchers at Johns Hopkins University developed an automated tool akin to facial recognition, which swiftly identifies COVID-19 indicators in lung…
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The NIH-backed study exposes how COVID-19 induces heart damage via inflammation rather than direct infection. Investigating SARS-CoV-2-associated ARDS, researchers find cardiac macrophage dysregulation, irrespective of viral presence. They discern that severe lung inflammation alone…
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What You Should Know:
– Google Health and Apollo Radiology International are joining forces to tackle some of the country’s biggest health challenges – tuberculosis (TB), lung cancer, and breast cancer – using AI-powered…
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Background: Patient engagement attrition in mobile health (mHealth) remote patient monitoring (RPM) programs decreases program benefits. Systemic disparities lead to inequities in RPM adoption and use. There is an urgent need to understand patients’…
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