Orthodontics and Dentofacial Orthopedics

External reference: https://openalex.org/T10356

  1. Multimodal imaging supports orthodontic diagnosis and collaborative oral care
    Multimodal imaging fusion enhances orthodontic diagnostics and enables seamless collaboration among dental specialists through standardized data integration.
  2. Machine learning models classified TMJ disc displacement well on MRI
    Supervised machine learning models detect morphometric patterns of temporomandibular joint disc displacement on 3T MRI, potentially supporting radiologic assessment.
  3. YOLOv12 detected many cephalometric landmarks within 2 mm
    YOLOv12-based automatic detection of cephalometric landmarks on lateral skull X-rays achieves 80.57% accuracy within 2 mm, matching human variability standards.
  4. Quantification of Craniofacial Growth Pattern Based on Deep Learning
    Deep learning framework quantifies craniofacial growth patterns and sexual dimorphism from cephalometric radiographs using automated feature extraction and saliency mapping without manual annotation.
  5. Android app matched manual facial index measurements
    Validation study of an Android application for measuring facial index in orthodontic diagnosis, comparing digital photographic measurement to traditional manual anthropometry.