AI in Dental Diagnosis: Patients' Acceptance and Concerns Revealed by UTAUT2 Model

Posted: September 6, 2025
A study at King Saud University Dental Hospital in Riyadh assessed dental patients' acceptance of AI-powered diagnosis using the UTAUT2 framework. The research, involving 505 participants, found that performance expectancy, social influence, and facilitating conditions significantly predicted patients' intention to use AI in dental diagnosis. While 60% of participants trusted AI, 55% had concerns about data privacy and accuracy. The study highlights the importance of addressing key factors like performance expectancy and social influence to enhance AI adoption in dentistry, emphasizing the need for clear communication and patient education to promote widespread use and improve patient outcomes.

This article summary was generated by AI. To view the full article, click the link here: https://pubmed.ncbi.nlm.nih.gov/40915205/
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