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

Radiographs play a key role in diagnosis of periodontal diseases. Deep learning models
have been explored for image analysis in periodontal diseases. However, there is lacuna of …

Background Periodontics and gingivitis are two of the most widely prevalent illnesses that
affect people nowadays. The sixth most common disease in the world is periodontitis, and …

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

Objectives The aim of this artificial intelligence (AI) study was to develop a deep learning
algorithm capable of automatically classifying periapical and bitewing radiography images …

Background The severity of furcation involvement (FI) directly affects tooth prognosis and
influences treatment approaches. However, assessing, diagnosing, and treating molars with …

Aim: Evidence-based approach is reiterated in periodontology for strategic need of
intervention. The changing face of the profession by AI integration is welcome. Background …

Background Panoramic radiographs (PAN) are one of the most common diagnostic tools in
clinical practice. Periodontal disease, the second most prevalent oral disease, significantly …

Sažetak Cilj istraživanja: Cilj istraživanja bio je ispitati mišljenja i informiranost studenata
dentalne medicine Fakulteta za dentalnu medicinu i zdravstvo u Osijeku o primjeni umjetne …

Штучний інтелект (ШІ) досяг значного прогресу у сфері охорони здоров'я. Нові
технології швидко розвиваються та впроваджуються в усі галузі медицини, у тому числі …