Periodontal diseases, ranging from gingivitis to periodontitis, are prevalent oral diseases
affecting over 50% of the global population. These diseases arise from infections and …

After a tooth extraction, a dry socket is a common problem that can cause excruciating pain
and prevent healing. Antiseptic dressings have historically been the mainstay of treatments …

Objective Intraoral photographic images are instrumental in the early screening and clinical
diagnosis of oral diseases. In addition, people have been trying to apply artificial intelligence …

Objectives This study aimed to assess the reliability of AI-based Diagnocat system that
assists the healthcare processes in the diagnosis of caries on intraoral radiographs …

Background The aim of this study was to develop and evaluate an automated approach for
segmenting bone loss (BL) on periapical (PA) radiographs and predicting the stage and …

Objectives Utilizing a deep learning approach is an emerging trend to improve the efficiency
of periodontitis diagnosis and classification. This study aimed to use an object detection …

Periodontal disease is a widespread global health concern that necessitates an accurate
diagnosis for effective treatment. Traditional diagnostic methods based on panoramic …

Periodontal disease is a significant global oral health problem. Radiographic staging is
critical in determining periodontitis severity and treatment requirements. This study aims to …

Background Periodontitis is a chronic inflammatory disease affecting the gingival tissues
and supporting structures of the teeth, often leading to tooth loss. The condition begins with …

Meta-learning of dental X-rays is a machine learning technique that can be used to train
models to perform new tasks quickly and with minimal input. Instead of just memorizing a …