Using computer vision through artificial intelligence (AI) is one of the main technological
advances in dentistry. However, the existing literature on the practical application of AI for …

Objectives This systematic review and meta-analysis aimed to investigate the accuracy and
efficiency of artificial intelligence (AI)-driven automated landmark detection for cephalometric …

Background The success of cephalometric analysis depends on the accurate detection of
cephalometric landmarks on scanned lateral cephalograms. However, manual …

Objectives: To compare the precision of two cephalometric landmark identification methods,
namely a computer-assisted human examination software and an artificial intelligence …

Accurate identification and precise localization of cephalometric landmarks provide
clinicians with essential insights into craniofacial deformities, aiding in the assessment of …

Cephalometry is commonly used as an integral component in orthodontic treatment and
visual treatment objects (VTOs). Accurate and stable tissue landmarks' localization is an …

Fully automated techniques using convolutional neural networks for cephalometric landmark
detection have recently advanced. However, all existing studies have adopted X-rays. The …

Pelvic landmark detection is a significant pre-task to measure the clinical measurement in
pelvic abnormality analysis. Accurate pelvic landmark detection could provide reliable …

Existing anatomical landmark detection methods consider the performance gains under
heavyweight network architectures, which lead to models tending to have poor scalability …

Quantitative cephalometric analysis is the most widely used clinical and research tool in
modern orthodontics. Accurate localization of cephalometric landmarks enables the …