首页|Semmelweis University Reports Findings in Artificial Intelligence (Validation of Artificial Intelligence Application for Dental Caries Diagnosis on Intraoral Bi tewing and Periapical Radiographs)
Semmelweis University Reports Findings in Artificial Intelligence (Validation of Artificial Intelligence Application for Dental Caries Diagnosis on Intraoral Bi tewing and Periapical Radiographs)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Budapest, Hunga ry, by NewsRx correspondents, research stated, "This study aimed to assess the r eliability of AI-based Diagnocat system that assists the healthcare processes in the diagnosis of caries on intraoral radiographs. The proximal surfaces of the 323 selected teeth on the intraoral radiographs were evaluated by two independen t observers using the AI-based Diagnocat system." Our news journalists obtained a quote from the research from Semmelweis Universi ty, "The presence or absence of carious lesions was recorded during Phase 1. Aft er 4 months, the AI-aided human observers evaluated the same radiographs (Phase 2), and the advanced convolutional neural network (CNN) reassessed the radiograp hic data (Phase 3). Subsequently, data reflecting human disagreements were exclu ded (Phase 4). For each phase, the Cohen and Fleiss kappa values, as well as the sensitivity, specificity, positive and negative predictive values, and diagnost ic accuracy of Diagnocat, were calculated. During the four phases, the range of Cohen kappa values between the human observers and Diagnocat were k=0.66-1, k=0. 58-0.7, and k=0.49-0.7. The Fleiss kappa values were k=0.57-0.8. The sensitivity , specificity and diagnostic accuracy values ranged between 0.51-0.76, 0.88-0.97 and 0.76-0.86, respectively. The Diagnocat CNN supports the evaluation of intra oral radiographs for caries diagnosis, as determined by consensus between human and AI system observers."
BudapestHungaryEuropeArtificial In telligenceDental CariesDental CavitiesDental Diseases and ConditionsDent istryDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMa chine LearningTooth DemineralizationTooth Diseases and Conditions
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