ArticleHealth science reports2026
Exploring Physicians' Willingness to Integrate Artificial Intelligence in Clinical Practice: Ethical and Practical Insights From a Jordanian Cross-Sectional Survey.
Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Healthcare Professionals' Perceptions of AI-Assisted Clinical Decision-Making in Jordan: A Qualitative Study of Trust, Accountability, System Readiness, and Professional Practice.Healthcare (Basel, Switzerland) · 2026Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: This study explored the practical perspectives of healthcare professionals in Jordan regarding integrating artificial intelligence (AI) tools into clinical practice and describes their concerns about AI's ethical implications. Methods: The study utilized a cross-sectional, questionnaire-based survey that was conducted with employed physicians in Jordan from April through September 2025. The survey used a validated instrument to assess the participants' AI experience, willingness to adopt AI, practical and ethical concerns associated with AI, and support for the recommended actions. The data were analyzed using descriptive statistics and logistic regression. Results: In this study, 297 physicians participated (median age = 36.0; IQR = 19.0). Around 72% of the participants ( Conclusion: While Jordanian physicians recognize AI's benefits, they express significant ethical, practical, and contextual concerns. This study highlights the unique concerns of Jordanian physicians, which differ from those in other countries, and underscores the need for region-specific policies addressing training, cultural adaptation, and regulation to support AI integration in clinical practice.
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