Identify the Most Effective Rehabilitation Method Between a Treatment with a Sensorized Treadmill (Walker View) and a Treatment with Conventional Group Therapy in Balance Disorders and the Use of Artificial Intelligence to Identify Predictive Indices to Prevent Falls and Diagnose Promptly the Risk

Falls in the elderly are one of the main sources of disability and hospitalization, with a significant impact on quality of life and social and healthcare costs. Falls represent a significant health concern for people over 60 years old. Numerous studies have shown that falls cause serious health consequences. Around 30% of people over the age of 60 experience a fall during the year. According to the impact falls have, the investigators decided to analyze the effectiveness of training on a Walker View sensorized treadmill, with the possibility of exercises for coordination and balance, compared to training with a conventional group therapy, in order to understand the best training to reduce the risk of falling and observe the possible improvements in daily life activities. So the study aims to identify the most effective rehabilitation method between a treatment with a sensorized treadmill (Walker View) and a conventional group therapy in balance disorders. The study also aims to identify predictive indices, with the use of Artificial Intelligence, that can contribute to the prevention and diagnosis of balance disorders in a short time and prevent falls in the elderly.

NCT Number	NCT06649500
Lead Sponsor	Fondazione Policlinico Universitario Campus Bio-Medico
Conditions	Balance Disorders, Rehabilitation, Falls, Falls Prevention, Artificial Intelligence (AI), Elderly (people Aged 65 or More)
Enrollment	108 participants
Start Date	2024-12-04
Primary Completion	2026-05 (estimated)
Study Completion	2026-06 (estimated)
Updated on ClinicalTrials.gov	2025-03-19