Research on Medical Artificial Intelligence in the Diagnosis of Periodontitis

Periodontitis, a microbial-induced inflammatory disease, poses a significant threat to oral health, contributing to tooth loss and pathological absorption of alveolar bone. This study addresses the pressing need for accurate diagnosis using artificial intelligence (AI) methodologies, specifically a comprehensive Convolutional Neural Network (CNN) model. Leveraging multi-center clinical and imaging data, our study develops an intelligent diagnostic system for periodontitis. The CNN model's predictive scores are compared with clinical characteristics and disease severity, exploring its accuracy in screening and potential applications. The proposed system enhances decision analysis for oral clinicians, reducing misdiagnosis and improving diagnostic accuracy, thereby advancing personalized periodontitis diagnosis and treatment.