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| Artificial Intelligence in Healthcare | |
| The latest artificial intelligence in healthcare news from News Medical | |
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| Artificial Intelligence (AI) in Cancer Care
It is no secret that artificial intelligence is being tested in clinical settings around the world, but is it a realistic ambition to apply sophisticated algorithms to outdated healthcare systems? In this interview, we speak to Matej Adam, European Oncology and Genomics Lead for IBM Watson about the research being carried out by IBM.
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| AI identifies previously unknown features relevant to cancer prognosis Artificial intelligence technology developed by the RIKEN Center for Advanced Intelligence Project in Japan has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors. | |
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| New kind of AI improves breast cancer risk prediction A team of researchers in Sweden has established a new kind of artificial intelligence (AI) that can identify women who are at an increased risk of developing breast cancer. The study, which has been published this month in the journal Radiology, describes how the technology was developed, which has been tested to show that it is more effective than currently available predictive models. | |
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| New AI-based algorithm could help doctors treat patients with severe TBI Traumatic brain injury is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units, but in spite of the proper and high-quality care, about one in three patients dies. | |
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| MGH scientists use electronic health records for early diagnosis of dementia A team of scientists from Massachusetts General Hospital (MGH) has developed a software-based method of scanning electronic health records (EHRs) to estimate the risk that a healthy person will receive a dementia diagnosis in the future. Their algorithm uses machine learning to first build a list of key clinical terms associated with cognitive symptoms identified by clinical experts. | |
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