ArticleInternational journal of nursing sciences2025
Healthcare providers' perceptions of artificial intelligence in diabetes care: A cross-sectional study in China.
Article in International journal of nursing sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Mapping research trends and competency domains in nursing-related digital and artificial intelligence technologies: A bibliometric analysis.International journal of nursing sciences · 2026Review
- A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff.Integrative medicine research · 2025Article
- Federated multimodal AI for precision-equitable diabetes care.Frontiers in digital health · 2025Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Diabetes remains a major global health challenge in China. Artificial intelligence (AI) has demonstrated considerable potential in improving diabetes management. This study aimed to assess healthcare providers' perceptions regarding AI in diabetes care across China. Methods: A cross-sectional survey was conducted using snowball sampling from November 12 to November 24, 2024. We selected 514 physicians and nurses by a snowball sampling method from healthcare providers across 30 cities or provinces in China. The self-developed questionnaire comprised five sections with 19 questions assessing medical workers' demographic characteristics, AI-related experience and interest, awareness, attitudes, and concerns regarding AI in diabetes care. Statistical analysis was performed using Results: Among them, 20.0 % and 48.1 % of respondents had participated in AI-related research and training, while 85.4 % expressed moderate to high interest in AI training for diabetes care. Most respondents reported partial awareness of AI in diabetes care, and only 12.6 % exhibited a comprehensive or substantial understanding. Attitudes toward AI in diabetes care were generally positive, with a mean score of 24.50 ± 3.38. Nurses demonstrated significantly higher scores than physicians ( Conclusions: While Chinese healthcare providers show moderate awareness of AI in diabetes care, their attitudes are generally positive, and they are considerably interested in future training. Tailored, role-specific AI training is essential for equitable and effective integration into clinical practice. Additionally, transparent, reliable, ethical AI models must be prioritized to alleviate practitioners' concerns.
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Registered trials
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 Socratic graph.