ArticleJournal of family medicine and primary care2026
Evolutionary trajectory and knowledge structure of wearable devices for health management: A bibliometric analysis (1997-2025).
Article in Journal of family medicine and primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Who cites it
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Authors and funding
6 authors.
Funding
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Abstract
Purpose: To deconstruct the evolutionary trajectory and intellectual structure of wearable devices for health management. Method: The study executed a systematic bibliometric analysis of 2,463 high-quality publications from the Web of Science Core Collection (1997-2025). Result: The findings reveal that the field entered an exponential growth phase post-2018, anchored by a bipolar dominance of the USA and China. While academic institutions drive innovation, the global collaborative network remains structurally fragmented. There were 637 keywords in total, key themes include "digital health," "wearable devices," "physical activity," "artificial intelligence." Research hotspots have crystallized around three strategic pillars: high-fidelity physiological sensing, AI-driven intelligent analytics, and clinical translation for proactive health. Furthermore, frontier trends indicate a critical pivot from generalized monitoring to the precision management of specific pathologies (e.g., cardiovascular diseases) and a technological shift toward energy-autonomous systems, by elucidating the pathway from technological incubation to clinical application. Conclusion: This study offers empirical evidence and strategic insights to guide future interdisciplinary synergy and the construction of interoperable data ecosystems for precision health management.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.