Unhealthy drinking is the biggest risk factor to health for 15 to 49-year olds, and unhealthy use of alcohol is especially prevalent among adult students, prompting the authors to design a smartphone app to encourage healthier drinking among this group.
Investigators from Brigham and Women's Hospital, a founding member of the Mass General Brigham healthcare system, and Keio University in Japan have developed a deep learning artificial intelligence model to screen electrocardiogram (ECG) for signs of atrial septal defects (ASD).
The study, from the University of York, also found that adults aged 60 and over who play digital puzzle games had a greater ability to ignore irrelevant distractions, but older adults who played strategy games did not show the same improvements in memory or concentration.
Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes of Parkinson’s disease, with one reaching an accuracy of 95%.