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Open access Aug 2026

Dental Students’ Experiences With an Artificial Intelligence Chatbot to Enhance Clinical Competence in Oral Diseases

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. · 0 citations
Review Open access Oct 2026

AI-Powered Virtual Patients in Health Professions Education: Learner Engagement and Knowledge Application.

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. · 0 citations
Open access Sep 2026

Dentists' perception of Artificial Intelligence in Clinical Dentistry: a cross-sectional study in Karachi, Pakistan

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. · 0 citations
Open access Sep 2026

Patients’ Perspectives on Artificial Intelligence and Digital Transformation in Dental Practice: A Cross-Sectional Study from Romania

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. · 0 citations
Review Open access Sep 2026

Artificial Intelligence in Medical Education: Perceptions of Romanian Medical Students in a Cross-Sectional Study

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. · 0 citations

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