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| UCLA researchers have developed a new artificial intelligence system to help radiologists improve their ability to diagnose prostate cancer. The system, called FocalNet, helps identify and predict the aggressiveness of the disease evaluating magnetic resonance imaging, or MRI, scans, and it does so with nearly the same level of accuracy as experienced radiologists. | |
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| In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future of artificial intelligence (AI) in medical imaging. The workshop was co-sponsored by NIH, the Radiological Society of North America (RSNA), the American College of Radiology (ACR) and The Academy for Radiology and Biomedical Imaging Research (The Academy). | |
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| A joint project team led by Tokyo Institute of Technology (hereinafter, "Tokyo Tech"), Shinshu University and Information Services International-Dentsu, Ltd. (hereinafter, "ISID") developed cattle observing systems equipped with a "Sense and Think Collar" that utilizes state-of-the-art Edge AI technology, under the supervision of Tokyo Tech's Center of Innovation (COI) Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices. | |
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| A specially designed computer program can help diagnose post-traumatic stress disorder (PTSD) in veterans by analyzing their voices, a new study finds. Published online April 22 in the journal Depression and Anxiety, the study found that an artificial intelligence tool can distinguish - with 89 percent accuracy - between the voices of those with or without PTSD. | |
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