Development of an Artificial Intelligence-Based System for Predicting Fall Risk in Neurological Patients
The aim of the study was to develop an artificial intelligence model for predicting the probability of falls based on the analysis of video recordings of gait patterns. Materials and Methods The study involved 187 patients (median age 59 years) with neurological diseases of various etiologies who complained of impaired...