Download full-text PDF |
Source |
---|
Dentomaxillofac Radiol
December 2024
School of Dentistry, Cardiff University, Cardiff CF14 4XY, Wales.
Objectives: Periodontitis is a serious periodontal infection that damages the soft tissues and bone around teeth and is linked to systemic conditions. Accurate diagnosis and staging, complemented by radiographic evaluation, are vital. This systematic review (PROSPERO ID: CRD42023480552) explores Artificial Intelligence (AI) applications in assessing alveolar bone loss and periodontitis on dental panoramic and periapical radiographs.
View Article and Find Full Text PDFHortic Res
December 2024
Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Sanjiaohu Road, Wuhan Economic and Technological Development Zone, Hubei 430056, China.
Int J Paediatr Dent
November 2024
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Pediatric Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Background: Dens evaginatus is a dental morphological developmental anomaly. Failing to detect it may lead to tubercles fracture and pulpal/periapical disease. Consequently, early detection and intervention of dens evaginatus are significant to preserve vital pulp.
View Article and Find Full Text PDFJ Craniofac Surg
November 2024
Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Universidad de los Andes.
Fracture of surgical instruments in dental practice is not usually reported in the literature. Management involves searching for and retrieving the fragment to avoid issues such as infection, swallowing, or aspiration. Although foreign bodies may not cause symptoms for years, some can cause chronic pain.
View Article and Find Full Text PDFThis article presents a dental dataset for the improvement of research on deep learning-based detection and classification of dental diseases. The dataset is consisted of 232 panoramic dental radiographs, categorized into six major classes: healthy teeth, caries, impacted teeth, infections, fractured teeth, and broken-down crowns/roots (BDC/BDR). The images were collected from three renowned private clinics in Dhaka, Bangladesh, with the help of an experienced dental practitioner who ensured the confidentiality of patients and high-quality data acquisition using a 64-megapixel Android phone camera.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!