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A new study led by a University at Buffalo researcher has identified how specific communication among different brain regions, known as brain connectivity, can serve as a biomarker for attention deficit hyperactivity disorder (ADHD). The research relied on a deep architecture using machine-learning classifiers to identify with 99% accuracy those adults who had received a […]
In the era of ‘Dr. Google,’ social media is a tremendous influence on patients interested in cosmetic surgery, and with more than two billion users—representing almost one-third of the internet—YouTube has emerged as an essential platform for reaching people interested in plastic surgery. However, due to a variety of factors, such as confusing terminology, inaccurate […]
A tool developed by University of Alberta researchers using machine learning diagnoses schizophrenia more accurately than other AI-based systems, according to a new study. The tool, called EMPaSchiz (Ensemble algorithm with Multiple Parcellations for Schizophrenia prediction), examined brain scans from patients who were diagnosed with schizophrenia and predicted the diagnosis with 87 per cent accuracy. […]
Making good decisions typically involves gathering information over at least several seconds, much longer than the time that individual brain cells take to process their inputs. However, this disparity does not reduce our ability to make accurate choices, finds a new study by neuroscientists at New York University. Their results, which appear in the journal […]