Thankful Winter December

Tech To Watch in 2023 Background Dental plaque causes many common oral diseases (e.g., caries, gingivitis, and periodontitis). Therefore, plaque detection and control are extremely important for children’s oral health. The objectives of this study were to design a deep learning- based artificial intelligence (AI) model to detect plaque on primary teeth and to evaluate the diagnostic accuracy of the model. AI helps dentists provide high- quality care. Dentists can use AI to improve diagnosis, treatment planning, and result prediction. Published by: Wenzhe You & Bin Xia https://bmcoralhealth.biomedcentral.com/articles/10.1186/s12903-020-01114-6#author -information Deep learning- based dental plaque detection on primary teeth: Methods A conventional neural network (CNN) framework was adopted, and 886 intraoral photos of primary teeth were used for training. To validate clinical feasibility, 98 intraoral photos of primary teeth were assessed by the AI model. Additionally, tooth photos were acquired using a digital camera. One experienced pediatric dentist examined the photos and marked the regions containing plaque. Then, a plaque-disclosing agent was applied, and the areas with plaque were identified. After 1 week, the dentist drew the plaque area on the 98 photos taken by the digital camera again to evaluate the consistency of manual diagnosis. Additionally,