Cleveland Clinic researchers have built a predictive analytics model to better understand which patients with COVID-19 are at high risk of hospitalization from the virus.
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With nearly every healthcare organization working to better manage and stop the spread of COVID-19, many have turned to medical imaging and imaging analytics tools to improve detection and prevention...
NIH is funding a project that will use artificial intelligence to identify children at risk of Multisystem Inflammatory Syndrome in Children (MIS-C), an illness believed to be a severe complication of...
NIH has launched the Medical Imaging and Data Resource Center (MIDRC), which will utilize artificial intelligence and medical imaging to enhance COVID-19 detection and treatment.
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An analysis of COVID-19 data showed that infection rates are higher among minority and socioeconomically disadvantaged children, indicating that racial and ethnic disparities persist even in pediatric...
Artificial intelligence-enhanced electrocardiogram (ECG) may be able to accurately detect heart failure in patients being evaluated in the ER for shortness of breath, according to a study published in...
While the spread of COVID-19 has presented healthcare with many challenges, the sheer amount of data generated by the pandemic has been one of the biggest tests the industry has faced so far.
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Decision-makers should take several criteria into account when assessing the usefulness of COVID-19 data points, according to a new guide by the National Academies of Sciences, Engineering and...
When one considers the healthcare industry, it’s easy to picture the entire ecosystem existing as one massive, cohesive machine – a system seamlessly working to achieve the goals of quality care, lower costs, and improved...
The Department of Energy (DOE), the Department of Health and Human Services (HHS), and the Department of Veterans Affairs have announced a new big data analytics initiative to coordinate and share...
Artificial intelligence can use information available in the emergency room to predict the kind of bacteria that is causing infection in patients with pneumonia, according to research presented at the...
Patient safety, data privacy, and health equity are key considerations for the use of chatbots powered by artificial intelligence in healthcare, according to a viewpoint piece published in JAMA.
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Since COVID-19 has entered and spread across the US, healthcare researchers have aimed to learn everything they can about the virus.
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A predictive analytics model showed that without masks, six feet of social distance may not be enough to keep one person’s respiratory droplets from reaching someone else, which could contribute...
Genetic variants may play a role in a person’s susceptibility to COVID-19, leading to a better understanding of which populations are most at risk of severe complications from the virus,...
Quality data on race, ethnicity, and gender is needed to reduce disparities in confirmed COVID-19 cases and deaths, according to a report from researchers at the Medical College of Georgia.
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Although COVID-19 has spread to communities around the world, as the pandemic wears on it’s clear that the virus has impacted some populations more than others.
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The San Antonio Partnership for Precision Therapeutics (SAPPT) has announced the funding of three projects that will accelerate treatments for COVID-19 using precision medicine principles.
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The University of California, Irvine is seeking to leverage the campus’s Wi-Fi connectivity to deploy a COVID-19 contact tracing application, which could help reduce the spread of the virus.
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Artificial intelligence tools have played a pivotal role in the COVID-19 pandemic thus far, helping researchers and healthcare organizations identify hot spots, prepare for potential resource gaps, and...