Despite increasing concern over the intrusion of algorithms in daily life, people may be more willing to trust a computer program than their fellow humans, especially if a task becomes too challenging, according to new research from data scientists at the University of Georgia.
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AI-Powered Symptom Checkers can Help Healthcare Systems Deal with the COVID-19 Burden
AI-powered symptom checkers can potentially reduce the number of people going to in-person clinics during the pandemic, but first, researchers say, people need to know they exist.
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AI could Crack the Language of Cancer and Alzheimer's
Powerful algorithms used by Netflix, Amazon and Facebook can 'predict' the biological language of cancer and neurodegenerative diseases like Alzheimer's, scientists have found.
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Predicting COVID-19 Outbreaks with Cell Phone Mobility Data
Mobility tracking using cell phone data showing greater movement of people is a strong predictor of increased rates of COVID-19, according to new data in CMAJ (Canadian Medical Association Journal).
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Virtual "Urgent Care" may Lead to Higher Rates of Downstream Follow-Up Care
Even before the pandemic made telehealth a hot topic, people with minor urgent health needs had started to turn to companies that offer on-demand video chats with physicians that they don't normally see.
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X-Rays Combined with AI Offer Fast Diagnostic Tool in Detecting COVID-19
X-rays, first used clinically in the late 1890s, could be a leading-edge diagnostic tool for COVID-19 patients with the help of artificial intelligence, according to a team of researchers in Brazil who taught a computer program, through various machine learning methods, to detect COVID-19 in chest X-rays with 95.6 to 98.5% accuracy.
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Telemedicine Improves Access to High-Quality Sleep Care
The American Academy of Sleep Medicine recently published an update on the use of telemedicine for the diagnosis and treatment of sleep disorders to reflect lessons learned from the transition to telemedicine during the COVID-19 pandemic and the benefits of continuing to utilize remote care when appropriate.
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