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| August 20, 2018 | |
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| The latest artificial intelligence in healthcare news from News Medical | |
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| Artificial intelligence holds real potential for improving both the speed and accuracy of medical diagnostics. But before clinicians can harness the power of AI to identify conditions in images such as X-rays, they have to 'teach' the algorithms what to look for. | |
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| A new study using machine learning has identified brain-based dimensions of mental health disorders, an advance towards much-needed biomarkers to more accurately diagnose and treat patients. | |
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| An artificial intelligence platform designed to identify a broad range of acute neurological illnesses, such as stroke, hemorrhage, and hydrocephalus, was shown to identify disease in CT scans in 1.2 seconds, faster than human diagnosis, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published today in the journal Nature Medicine. | |
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| Researchers have developed a computational platform that predicts how one subtype of cells can be converted into another subtype. | |
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