Chatbots can Ease Medical Providers' Burden, Offer Guidance to Those with COVID-19 Symptoms
COVID-19 has placed tremendous pressure on health care systems, not only for critical care but also from an anxious public looking for answers. Research from the Indiana University Kelley School of Business found that chatbots - software applications that conduct online chats via text or text-to-speech - working for reputable organizations can ease the burden on medical providers and offer trusted guidance to those with symptoms.
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Towards an AI Diagnosis Like the Doctor's
Artificial intelligence (AI) is an important innovation in diagnostics, because it can quickly learn to recognize abnormalities that a doctor would also label as a disease. But the way that these systems work is often opaque, and doctors do have a better "overall picture" when they make the diagnosis.
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Researchers Develop Software to Find Drug-Resistant Bacteria
Washington State University researchers have developed an easy-to-use software program to identify drug-resistant genes in bacteria. The program could make it easier to identify the deadly antimicrobial resistant bacteria that exist in the environment. Such microbes annually cause more than 2.8 million difficult-to-treat pneumonia, bloodstream and other infections and 35,000 deaths in the U.S.
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Research Shows Telehealth is an Important Tool for Rural Hospitals in Treating COVID-19
Rural hospitals are more likely than urban facilities to have access to telehealth, a once-underused service that now is playing a key role in treating coronavirus patients, according to research by two health administration professors in Florida Atlantic University's College of Business.
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Researchers at São Paulo State University (UNESP) in Araçatuba, Brazil, have developed a computational tool that acts like a "COVID-19 accelerometer," plotting in real time the rate at which growth is accelerating or decelerating in more than 200 countries and territories.
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App Determines COVID-19 Disease Severity Using Artificial Intelligence, Biomarkers
A new mobile app can help clinicians determine which patients with the novel coronavirus (COVID-19) are likely to have severe cases. Created by researchers at NYU College of Dentistry, the app uses artificial intelligence (AI) to assess risk factors and key biomarkers from blood tests, producing a COVID-19 "severity score."
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Computer Modelling Predicts where Vaccines Are Needed Most
Researchers have developed a model that can estimate regional disease burden and the impact of vaccination, even in the absence of robust surveillance data, a study in eLife reveals.
The report, originally published on May 26, highlights areas that would have the greatest benefit from initiating a vaccination programme against the virus, Japanese encephalitis (JE).