Abstract

Falls are a major cause of injury, hospitalization, functional decline, and loss of independence among older adults. Current fall-prevention strategies rely on multifactorial interventions, including exercise, medication optimization, vision assessment, and environmental modification. However, traditional approaches often depend on periodic clinical evaluations and may not capture dynamic changes in mobility and fall risk occurring during daily life. This mini review summarizes emerging technologies and assistive devices for fall prevention, focusing on their clinical applications, current evidence, and implementation challenges.

Keywords:Falls; Older adults; Fall prevention; Digital health; Wearable sensors; Artificial intelligence; Assistive technology; Geriatrics