U.S., May 13 -- ClinicalTrials.gov registry received information related to the study (NCT07580612) titled 'AID-FOG: Artificial Intelligence-Driven Freezing of Gait Detection in the Home' on April 02.
Brief Summary: Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease increases the risk of falling. Despite being a common symptom, it is still difficult to evaluate freezing of gait quickly and accurately. Currently, the gold-standard method to determine the severity of FOG is a manual analysis of video footage by an experienced assessor, collected during standardized FOG-provoking walking tests. Because this is a very time-intensive process, where different assessors sometimes obtain different results, our team at KU Leuve...