Early Surgical Intervention of Congenital Syngnathia.

Congenital syngnathia is a rarely reported malformation when there is a fusion between the maxilla and the mandible. It is necessary to modify it in childhood because congenital syngnathia causes incongruity in pronunciation, diet, and esthetics during the growth process. In this case report, 1 case of syngnathia, a rare craniofacial anomaly, is presented with a review of reports. Prompt diagnosis and surgery were performed right after birth for the present case. A partial limitation point was resolved for further growth. Herein, the authors present the case of a female infant (7 d after birth) diagnosed with congenital syngnathia and treated by early surgical intervention.

A deep learning model based on concatenation approach to predict the time to extract a mandibular third molar tooth.

BACKGROUND: Assessing the time required for tooth extraction is the most important factor to consider before surgeries. The purpose of this study was to create a practical predictive model for assessing the time to extract the mandibular third molar tooth using deep learning. The accuracy of the model was evaluated by comparing the extraction time predicted by deep learning with the actual time required for extraction. METHODS: A total of 724 panoramic X-ray images and clinical data were used for artificial intelligence (AI) prediction of extraction time. Clinical data such as age, sex, maximum mouth opening, body weight, height, the time from the start of incision to the start of suture, and surgeon's experience were recorded. Data augmentation and weight balancing were used to improve learning abilities of AI models. Extraction time predicted by the concatenated AI model was compared with the actual extraction time. RESULTS: The final combined model (CNN + MLP) model achieved an R value of 0.8315, an R-squared value of 0.6839, a p-value of less than 0.0001, and a mean absolute error (MAE) of 2.95 min with the test dataset. CONCLUSIONS: Our proposed model for predicting time to extract the mandibular third molar tooth performs well with a high accuracy in clinical practice.