Exploring Physicians' Willingness to Integrate Artificial Intelligence in Clinical Practice: Ethical and Practical Insights From a Jordanian Cross‐Sectional Survey

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 (n = 214) reported having prior experience with AI, while 50.8% (n = 151) expressed an openness to using AI tools in their clinical practice. Physician concerns about AI included a lack of ability to manage complex cases (n = 216, 72.8%), jeopardizing the physician–patient relationship (n = 204, 68.7%), and diminishing their cognitive ability (n = 210, 70.7%). Other ethical concerns included cultural differences (n = 213, 71.7%), and unclear accountabilities for any errors resulting from using AI (n = 209, 70.4%). Physicians who reported being more willing to adopt AI tools had significantly shorter median ages (adjusted odds ratio [AOR] = 0.971, p = 03) and had prior experience with AI (AOR = 0.262, p < 001) and had daily patient case loads of at least 10 patients (AOR = 1.895, p = 05). 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.