Utilizing Human-in-the-Loop AI Predictions to Prescribe Personalized Falls Prevention Programs

Abstract

Falls are the leading cause of fatal and nonfatal injuries in older adults, with over 14 million falls reported annually (CDC). In response, the Administration for Community Living (ACL) launched seventeen Evidence-Based Falls Prevention Programs (EBFPPs) nationwide.