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    New research by the University of Liverpool could signal a step change in the quest to design the new materials that are needed to meet the challenge of net zero and a sustainable future. Publishing in the journal Nature, the Liverpool researchers have shown that a mathematical algorithm can guarantee to predict the structure of any material just based on knowledge of the atoms that make it up.

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    • A mathematical #algorithm developed by @LivUni researchers could signal a step change in the quest to design the new materials that are needed to meet the challenge of net zero and a sustainable future #materialsscience #atoms #quantumchemistry https://t.co/ViLewBvlYE

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    June 21, 2023 — Anumana, Inc., a leading AI-driven health technology company, has received Breakthrough Device Designation from the U.S. Food and Drug Administration (FDA) for its ECG-AI algorithm designed to aid the early identification of cardiac amyloidosis, a life-threatening, rare, underdiagnosed cause of heart failure. This breakthrough device designation was granted to provide patients and…

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    • @DAICeditor @anumanainc @MayoClinic @pfizer Developed in collaboration with Mayo Clinic, with support from Pfizer, this #ECG-#AI #algorithm aims to aid #physicians in earlier identification of #cardiac #amyloidosis: https://t.co/rOhm9Uug2U

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    May 5, 2023 — According to an accepted manuscript published in ARRS’ own American Journal of Roentgenology (AJR), a high-speed onsite deep-learning based fractional flow reserve (FFR)-CT algorithm yielded excellent diagnostic performance for the presence of hemodynamically significant stenosis, with both high interobserver and intraobserver reproducibility.  “A rapid and accurate onsite approach…

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    • @DAICeditor @ARRS_Radiology @AJR_Radiology A high-speed onsite deep-learning based #FFR_CT #algorithm yielded excellent #diagnostic performance for the presence of #hemodynamically significant stenosis: https://t.co/vlHIihiwPk

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    Wolters Kluwer Health - 1 year(s) ago

    JavaScript Error JavaScript has been disabled on your browser. You must enable it to continue. Here’s how to enable JavaScript in the following browsers: Internet Explorer From the Tools menu, select Options Click the Content tab Select Enable JavaScript Firefox From the Tools…

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    • A #patient on #apixaban suffered a fall. #CT imaging revealed a #subduralhematoma & developing uncal #herniation. @thame says an #algorithm created by Taylor Martin, MD, can help with the reversal of #anticoagulation for intracranial #hemorrhage. #FOAMed https://t.co/90ON0wBUOb https://t.co/VJzPNgwrXl

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    Artificial intelligence and machine learning are trendy buzzwords in healthcare. There’s reason for that: AI and ML technologies, when analyzed “in silico”, seem revolutionary. Some artificial intelligence tools may diagnose cancers better than most radiologists. Others may predict the development of cardiovascular disease years before symptoms or lab abnormalities arise. The potential is huge…

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    • We've developed a playbook for moving from #algorithm development to implementation to scale. Ongoing focus areas also include AI policy and bias, real-world data, and patient-generated health data. Check out our intro blog post!: https://t.co/TaL33awpE9 https://t.co/gRmmew5S2C