Denoised encoder-based residual U-net for precise teeth image segmentation and damage prediction on panoramic radiographs.

OBJECTIVES: This research focuses on performing teeth segmentation with panoramic radiograph images using a denoised encoder-based residual U-Net model, which enhances segmentation techniques and has the capacity to adapt to predictions with different and new data in the dataset, making the proposed model more robust and assisting in the accurate identification of damages in individual teeth. METHODS: The effective segmentation starts with pre-processing the Tufts dataset to resize images to avoid computational complexities. Subsequently, the prediction of the defect in teeth is performed with the denoised encoder block in the residual U-Net model, in which a modified identity block is provided in the encoder section for finer segmentation on specific regions in images, and features are identified optimally. The denoised block aids in handling noisy ground truth images effectively. RESULTS: Proposed module achieved greater values of mean dice and mean IoU with 98.90075 and 98.74147 CONCLUSIONS: Proposed AI enabled model permitted a precise approach to segment the teeth on Tuffs dental dataset in spite of the existence of densed dental filling and the kind of tooth. CLINICAL SIGNIFICANCE: The proposed model is pivotal for improved dental diagnostics, offering precise identification of dental anomalies. This could revolutionize clinical dental settings by facilitating more accurate treatments and safer examination processes with lower radiation exposure, thus enhancing overall patient care.

Knowledge, Attitude, and Management of General Dentist toward Medication-related Osteonecrosis of the Jaws.

BACKGROUND: Medication-related osteonecrosis of the jaw (MRONJ) is an intense negative drug response causing increasing bone destruction in the maxillofacial area of patients. AIMS AND OBJECTIVES: To evaluate the knowledge and attitude of dental practitioner regarding risk factors of MRONJ in Saudi Arabia. MATERIALS AND METHODS: A cross-sectional, questionnaire survey was carried out in King Khalid Hospital, Al-Kharj among dental practioners. RESULTS: Approximately 60% of the practioners had a poor knowledge and there was a weak positive correlation with work experience. CONCLUSION: Poor knowledge regarding the MRONJ invites a continuing dental education specially to focus on general practioners.