Introduction and aims Opportunities for repeated clinical practice in oral disease diagnosis remain limited in undergraduate dental education, particularly during the preclinical and early clinical years. Artificial intelligence (AI)-driven virtual patient systems may help address this gap by providing scalable, intera...
Thi Do Thao, L. Duong, Anh Thi Phuong Bui et al.· International Dental Journal· 0 citations
PURPOSE/OBJECTIVES
Immersive educational technologies, including applications of artificial intelligence in education (AIED), are increasingly used to develop clinical skills in health professions education. This study evaluated the feasibility and perceived value of integrating an artificial intelligence (AI)-enabled...
J. Borckardt, Debra Henninger-Borckardt, Joe Vuthiganon et al.· Journal of Dental Education· 0 citations
Introduction: Artificial intelligence (AI) is increasingly transforming clinical dentistry by supporting diagnostic assessment, treatment planning, workflow optimization, and patient management.
Objective: To assess knowledge, perceptions, attitudes, and concerns of dentists regarding the application of artificial int...
A. Bilgrami, A. Qureshi, Maira Alexander et al.· Journal of Rehman Medical In...· 0 citations
Background/Objectives: The integration of artificial intelligence (AI) and digital technologies into dental practice is reshaping clinical workflows, administrative processes, and, increasingly, the patient experience and the doctor–patient relationship. While prior research has documented the attitudes of clinicians a...
Alin Flavius Cozmescu, Ana Cernega, A. Didilescu et al.· Dental journal· 0 citations
Romanian medical students demonstrated high familiarity with AI applications and favorable perceptions of their educational and clinical utility, with positive attitudes strongly predicting perceived clinical usefulness.
O. Radbea, Dumitru Șutoi, Bogdan Chiu et al.· Advances in Medical Educatio...· 0 citations
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