ArticleFrontiers in medicine2025
Adoption barriers and facilitators of wearable health devices with AI integration: a patient-centred perspective.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Generative artificial intelligence-assisted medical self-care and associated factors among undergraduate students at Arsi University, South-Eastern Ethiopia.PLOS digital health · 2026Article
- Examining the Role of Wearables in Inflammatory Arthritis Care: A Narrative Literature Review.The Journal of rheumatology · 2026Review
- The Ways in Which Stakeholders Make Decisions About AI and Novel Technologies for the Health Care of Older Adults: Qualitative Interview Study.JMIR aging · 2026Article
- Perceptions of the use of smartwatches for the early detection of cardiac arrhythmias in Saudi Arabia: a cross-sectional study.BMC public health · 2026Article
- Artificial intelligence in neurocardiology: decoding brain-heart network interactions for clinical and translational insights.Frontiers in neuroscience · 2026Review
- Alpha-1 antitrypsin deficiency: genetics, clinical manifestations, AI prognostics, and advanced imaging in liver disease.Annals of medicine and surgery (2012) · 2025Review
- Nurses' perspectives on AI-Enabled wearable health technologies: opportunities and challenges in clinical practice.BMC nursing · 2025Article
- Anticipations and Requirements of Individuals with Long-Term Health Conditions Regarding Self-Management and Digital Health Support Tools.Patient preference and adherence · 2025Article
- Music therapy in modulating immune responses and enhancing cancer treatment outcomes.Frontiers in immunology · 2025Review
- Modernisation of chronic respiratory disease management: The integration of wearable technology.Chronic respiratory diseaseReview
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Wearable devices that incorporate artificial intelligence (AI) have revolutionised healthcare through continuous monitoring, early detection, and tailored management of chronic diseases. Methods: This cross-sectional study analysed patients' perceptions, trust, and awareness of AI-driven wearable health technologies, emphasising the identification of primary facilitators and barriers to adoption. A total of 455 participants, comprising individuals with chronic conditions, were recruited through convenience and stratified sampling methods. Data were collected via an online questionnaire that included demographic questions, Likert-scale items, and multiple-choice questions to evaluate awareness of particular AI features and the functionalities of wearable devices. Results and discussion: The findings indicated predominantly positive perceptions, with most participants concurring that wearable devices improve proactive care, facilitate remote consultations, and deliver precise health insights. Concerns regarding technical failures, data accuracy, and the potential reduction of human interaction were significant. No notable demographic differences were identified; however, participants with chronic conditions expressed more favourable perceptions. The research emphasises the necessity of user education, technical reliability, and professional oversight for the successful integration of AI-powered wearables in the management of chronic diseases.
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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.