AI model helps predict strokes with more accuracy, researchers say

'The CyberGuy' Kurt Knutsson gives a rundown on concerns over using artificial intelligence in the diagnosis and treatment of illnesses and scammers using the software for voice cloning. Using machine learning methods and available data when patients enter the hospital, researchers have developed a model that predicts strokes with more accuracy than current models. The team from Carnegie Mellon University, Florida International University and Santa Clara University published their work in the Journal of Medical Internet Research earlier this year. Examining more than 143,000 hospital visits of patients in Florida acute care hospitals from 2012 to 2014, and social determinants of health data – including the conditions people are born into and live in, and what drives those conditions – from the U.S. Census Bureau's American Community Survey, the study's authors sought to develop a stroke-prediction algorithm. Their model incorporated variables routinely collected by health care providers and payers, including basic demographics, the number of chronic conditions and insurance.