Accuracy of an AI-clinical Knowledge-based Hybrid System for Detecting Periodontitis in OPG Images
Trial Parameters
Brief Summary
Periodontitis is highly prevalent and rarely detected and treated in the earlier stages of the disease. Orthopantomography (OPG) is the most frequently taken dental radiograph around the world, and its systematic screening may contribute to early detection of periodontitis and access to the needed level of care. The investigators' recent study initially developed an AI-clinical knowledge-based system for automatic periodontitis diagnosis and indicated good performance for differentiating stage II-IV periodontitis. This cross-sectional diagnostic study aims to compare the diagnostic accuracy of this AI-clinical knowledge-based hybrid system (Index test) with human experts (reference test) for differentiating stage II-IV periodontitis using the OPG images obtained from different 4 centers around the world.
Eligibility Criteria
Inclusion Criteria: 1. Aged 18 and above 2. Having taken the OPG image Exclusion Criteria: 1. Edentulous mouth