With artificial intelligence, machines can now examine thousands of medical images – and billions of pixels within these images – to identify patterns too subtle for a radiologist or pathologist to identify.
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A medical chatbot said to perform as well as or even better than human doctors has sparked a war of words in Britain, in a clash over how much the cash-strapped public health service should rely on artificial intelligence.
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Our mode of thinking changes at different times of the day and follows a 24-hour pattern, according to new findings published in PLOS ONE. University of Bristol researchers were able to study our thinking behaviour by analysing ...
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A new study by Professors Martti Juhola and Katriina Aalto-Setälä of the University of Tampere in Finland demonstrates that with the use of artificial intelligence and machine learning, it is possible not only to accurately ...
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Scientists at the University of Campinas (UNICAMP) in Brazil have developed a platform that can diagnose several diseases with a high degree of precision using metabolic markers found in blood.
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The future of cardiovascular care will be transformed by advances in artificial intelligence, digital health technology, and mobile as a means to prevent and treat heart disease, according to several review articles published ...
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Epileptic seizures strike with little warning and nearly one third of people living with epilepsy are resistant to treatment that controls these attacks. More than 65 million people worldwide are living with epilepsy.
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Researchers have shown for the first time that a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN) is better than experienced dermatologists at detecting skin ...
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For parents Delbert and Sanaz Whetter a crying baby is a particularly difficult challenge. The Whetters are deaf, so when they're in another room they rely on cameras and remote noise-monitors to help keep an eye on their ...
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A team of Waterloo researchers found that applying artificial intelligence to the right combination of data retrieved from wearable technology may detect whether your health is failing.
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