A Protocol for AI-Powered Tools to Enhance Mobility and Function in Older Adults: An Evidence and Gap Map Article Swipe
Mirella Veras
,
Jordi Pardo Pardo
,
Mê‐Linh Lê
,
Cindy Jussup
,
José Carlos Tatmatsu-Rocha
,
Vivian Welch
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/jpm15010029
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/jpm15010029
Introduction: Artificial intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, treatment, and patient monitoring, benefiting older adults by offering personalized care plans. AI-powered tools help manage chronic conditions and maintain independence, making them a valuable asset in addressing aging challenges. Objectives: The objectives are as follows: 1. To identify and describe AI-power-based exercise programs for older adults. 2. To highlight primary evidence gaps in AI interventions for functional improvement and mobility. 3. To evaluate the quality of existing reviews on this topic. Methods: The evidence gap map (EGM) will follow the five-step method, adhering to the Campbell Collaboration guidelines and, if available at the time of reporting, PRISMA-AI standards. Guided by the Metaverse Equitable Rehabilitation Therapy framework, this study will categorize findings across domains like equity, health service integration, interoperability, governance, and humanization. The study will include systematic reviews, randomized controlled trials, and pre-and post-intervention designs. Results will be reported following PRISMA-AI guidelines. We will use AMSTAR-2 Checklist for Analyzing Systematic Reviews on AI Interventions for Improving mobility and function in Older Adults to evaluate the reliability of systematic reviews and focus on internal validity. Conclusions: This comprehensive analysis will act as a critical resource for guiding future research, refining clinical interventions, and influencing policy decisions to enhance AI-driven solutions for aging populations. The EGM aims to bridge existing evidence gaps, fostering a more informed, equitable, and effective approach to AI solutions for older adults.
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Metadata
- Type
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- Language
- en
- Landing Page
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- OA Status
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All OpenAlex metadata
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https://openalex.org/W4406349367Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/jpm15010029Digital Object Identifier
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A Protocol for AI-Powered Tools to Enhance Mobility and Function in Older Adults: An Evidence and Gap MapWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-14Full publication date if available
- Authors
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Mirella Veras, Jordi Pardo Pardo, Mê‐Linh Lê, Cindy Jussup, José Carlos Tatmatsu-Rocha, Vivian WelchList of authors in order
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https://doi.org/10.3390/jpm15010029Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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Protocol (science), Function (biology), Medicine, Computer science, Physical medicine and rehabilitation, Gerontology, Biology, Pathology, Evolutionary biology, Alternative medicineTop concepts (fields/topics) attached by OpenAlex
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