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The aging of the U.S. population, combined with health care workforce shortages and insufficient access to effective fall prevention and exercise programs, has contributed to a high burden of fall-related injuries in older adults, especially in those with Mild Cognitive Impairment (MCI), a precursor of Alzheimer's dementia (AD) and related dementias (ADRD). There is an urgent need for scalable, evidence-based interventions that can be delivered efficiently in the home setting. This study aims to evaluate the efficacy and impact of a comprehensive digital fall prevention program (Digital STEADI) delivered through a technology platform with two conversational agents that leverage generative artificial intelligence (gen-AI) with human oversight to increase program access, enhance adherence to clinical fall prevention protocols and best practices, and reduce fall risk among community-dwellin
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