Objectives Despite deep learning's wide adoption in dental artificial intelligence (AI)
research, researchers from other dental fields and, more so, dental professionals may find it …

Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals
based on one's biological, social, and behavioral characteristics. While personalized dental …

Background Facial swelling, pain, and trismus are the most common postoperative sequelae
after mandibular third molar (M3M) surgery. Corticosteroids are the most used drugs to …

The objective of this study is to assess the classification accuracy of dental caries on
panoramic radiographs using deep-learning algorithms. A convolutional neural network …

Determining the exact positional relationship between mandibular third molar (M3) and
inferior alveolar nerve (IAN) is important for surgical extractions. Panoramic radiography is …

Artificial intelligence (AI) has emerged as a versatile health-technology tool revolutionizing
medical services through the implementation of predictive, preventative, individualized, and …

Objectives Novel artificial intelligence (AI) learning algorithms in dento-maxillofacial
radiology (DMFR) are continuously being developed and improved using advanced …

Objectives The objective of our study was to develop and validate a deep learning approach
based on convolutional neural networks (CNNs) for automatic detection of the mandibular …

Artificial Intelligence (AI) is a set of technologies that simulate human cognition in order to
address a specific problem. The improvement in computing speed, the exponential …

Abstract Pell and Gregory, and Winter's classifications are frequently implemented to classify
the mandibular third molars and are crucial for safe tooth extraction. This study aimed to …