International journal of oral and maxillofacial surgery
Nov 10, 2022
The purpose of this ambispective study was to investigate whether deep learning-based automatic segmentation and landmark detection, the SkullEngine, could be used for orthognathic surgical planning. Sixty-one sets of cone beam computed tomography (C...
International journal of oral and maxillofacial surgery
Oct 31, 2022
The use of deep learning (DL) in medical imaging is becoming increasingly widespread. Although DL has been used previously for the segmentation of facial bones in computed tomography (CT) images, there are few reports of segmentation involving multip...
International journal of oral and maxillofacial surgery
Apr 6, 2022
The aim of this study was to develop automated models for the identification and detection of mandibular fractures in panoramic radiographs using convolutional neural network (CNN) algorithms. A total of 1710 panoramic radiograph images from the year...
International journal of oral and maxillofacial surgery
Sep 20, 2021
Oral potentially malignant disorders (OPMDs) are a group of conditions that can transform into oral cancer. The purpose of this study was to evaluate convolutional neural network (CNN) algorithms to classify and detect OPMDs in oral photographs. In t...
International journal of oral and maxillofacial surgery
Jul 21, 2019
The conservative transoral approach to hilo-parenchymal submandibular stones has been proposed as an alternative to traditional sialadenectomy. The main purpose is to preserve the gland and eliminate the risk of a cervical scar and damage to the marg...
International journal of oral and maxillofacial surgery
Aug 4, 2018
This observational study aimed to use artificial intelligence to describe the impact of orthognathic treatment on facial attractiveness and age appearance. Pre- and post-treatment photographs (n=2164) of 146 consecutive orthognathic patients were col...