Attitudes, feasibility, and acceptance of dentists toward the application of artificial intelligence in diagnosing temporomandibular joint osteoarthritis on panoramic radiographs
Main Article Content
Abstract
Artificial intelligence (AI) has been increasingly applied in various fields of dentistry, including radiographic image analysis and disease diagnosis. This study aimed to evaluate the feasibility and acceptance of AI among dental practitioners for the diagnosis of temporomandibular joint osteoarthritis (TMJOA) on panoramic radiographs. A cross-sectional descriptive study was conducted among 68 dentists working at Hanoi Medical University Hospital and the School of Odonto-Stomatology. Data were collected using a 20 - item questionnaire covering four domains: feasibility, perceived benefits, barriers, and acceptance. The results showed that the mean scores across all domains were above 4,0 on a 5 - point Likert scale, with an overall mean score of 4.296 ± 0.559. The main barriers identified included implementation cost, legal framework, and data security concerns. Overall, dentists demonstrated a positive attitude toward the application of AI in the diagnosis of TMJOA.
Article Details
Keywords
Artificial intelligence, temporomandibular joint, osteoarthritis, panoramic radiograph
References
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