A report published Monday, 11 March 2024, details the findings of the Independent Review of Equity in Medical Devices.
Mar 12, 2024
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Artificial intelligence (AI) is poised to revolutionize the way we diagnose and treat illness. It could be particularly helpful for depression because it could make more accurate diagnoses and determine which treatments are ...
Dec 14, 2023
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The same devices used to take selfies and type out tweets are being repurposed and commercialized for quick access to information needed for monitoring a patient's health. A fingertip pressed against a phone's camera lens ...
Jan 18, 2023
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Artificial intelligence, machine learning, blockchain, and other key digital technology applications will play a vital role addressing the new healthcare challenges triggered by the COVID-19 pandemic, according to a peer-reviewed ...
May 14, 2020
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In a review published in the journal of UroPrecision, researchers from the University of Texas McGovern Medical School reveal how artificial intelligence (AI) is setting a new course in men's sexual health, specifically in ...
Apr 25, 2024
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Artificial intelligence will significantly impact the heart transplantation process by helping physicians better assess the complex factors impacting patient outcomes, according to researchers at today's Annual Meeting and ...
Apr 10, 2024
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While reading an article about Sen. John McCain's glioblastoma diagnosis, Kavya Kopparapu was shocked to learn that the prognosis for this aggressive brain cancer has not improved over the past 30 years. With standard treatment, ...
Jun 21, 2019
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University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalized COVID-19 patients. The research is published in The Lancet Microbe.
Feb 2, 2024
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The findings come from a cross-sectional study, published in BMJ Open, of the comments submitted to the US Food and Drug Administration (FDA) "Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine ...
Oct 15, 2020
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According to this research, developed by researchers of the UPM, CSIC and the Princesa Hospital, personality style, intelligence quotient and hemisphere of seizure origin are factors that would help to predict successfully ...
Oct 3, 2013
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