ArticleGlobal health & medicine2025
Responding to a super-aged society: A community-based model for early frailty detection using AI and smart meter data -Insights from Japan.
Article in Global health & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Article
- Digital health platforms for intrinsic capacity monitoring in community-based integrated care for older adults: a scoping review.Frontiers in public health · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Japan, at the forefront of a super-aged society where individuals age 65 and older constitute 29.3% of the total population, faces an urgent need for early detection of and intervention in reversible geriatric syndromes known as frailty to prevent older adults from becoming dependent on long-term care. One notable innovation is the frailty detection service e-Frail Navi, which began operational in 2023 following pilot testing since 2020. This service analyzes household electricity consumption patterns using AI, sending alerts to municipal welfare departments when unusual behavioral patterns are detected, enabling early intervention through professional home visits. A groundbreaking community-based integrated care model leveraging digital technology, 29 municipalities have adopted it as of June 2025. However, several challenges remain regarding the use of such technology, including issues with the accuracy of frailty assessment, ethical and legal concerns, and the potential barriers to use posed by disparities in digital literacy and economic circumstances.
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