Accuracy of an AI-clinical Knowledge-based Hybrid System for Detecting Periodontitis in OPG Images
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.
- EligibilityCriteria: Inclusion Criteria:  Aged 18 and above Having taken the OPG image  Exclusion Criteria:  Edentulous mouth - HealthyVolunteers: Accepts Healthy Volunteers - Gender: All - MinimumAge: 18 Years - StdAgeList: Adult, Older Adult - StudyPopulation: Patients seeking care at Shanghai Ninth People's Hospital Pudong Clinics; Patients seeking care at Shanghai Ninth People's Hospital South Clinics; Patients seeking care at Prince Philip Dental Hospital in Hong Kong; Patients seeking care at The University of Rome La Sapienza in Italy; - SamplingMethod: Non-Probability Sample