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ABSTRACT: Introduction and aims
Artificial intelligence (AI) is transforming dental care by enhancing diagnostic accuracy, efficiency, and patient experience. This study aimed to assess dental patients' acceptance, perceptions, and concerns regarding AI-powered diagnosis using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework through structural equation modelling (SEM).Methods
A cross-sectional study was conducted among dental patients at King Saud University Dental Hospital, Riyadh. Data were collected using a structured questionnaire based on the UTAUT2 framework. Confirmatory factor analysis was performed to assess the validity and reliability of the measurement model. SEM was then utilized to evaluate the relationships between UTAUT2 constructs and patie
SUBMITTER: Naik S
PROVIDER: S-EPMC12452871 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature