Can artificial intelligence-driven cephalometric analysis replace manual tracing? A systematic review and meta-analysis

J Hendrickx, RS Gracea, M Vanheers… - European Journal of …, 2024 - academic.oup.com
Objectives This systematic review and meta-analysis aimed to investigate the accuracy and
efficiency of artificial intelligence (AI)-driven automated landmark detection for cephalometric …

Cephalometric landmark detection across ages with prototypical network

H Wu, C Wang, L Mei, T Yang, M Zhu, D Shen… - … Conference on Medical …, 2024 - Springer
Automated cephalometric landmark detection is crucial in real-world orthodontic diagnosis.
Current studies mainly focus on only adult subjects, neglecting the clinically crucial scenario …

Comparison of 2D, 2.5 D, and 3D segmentation networks for mandibular canals in CBCT images: A study on public and external datasets

S Yang, JS Jeong, D Song, JY Han, SH Lim, SJ Kim… - 2024 - researchsquare.com
The purpose of this study was to compare the performances of 2D, 2.5 D, and 3D CNN-
based segmentation networks, along with a 3D vision transformer-based segmentation …

Correction: Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based …

S Yang, ES Song, ES Lee, SR Kang, WJ Yi… - BMC Oral …, 2024 - ncbi.nlm.nih.gov
1. Yang S, Song ES, Lee ES, Kang S, Yi W, Lee S. Ceph‑Net: automatic detec‑tion of
cephalometric landmarks on scanned lateral cephalograms from children and adolescents …

Чи можлива повна заміна традиційних цефалометричних аналізів 3D-цефалометрією на основі штучного інтелекту в найближчому майбутньому …

K Krymovskyy, A Mileschenko… - … of ophthalmology and …, 2024 - maxopht.zaslavsky.com.ua
Background. Modern cephalometric analyses provide necessary anatomical measurement
data that is essential for both orthodontists and craniomaxillofacial surgeons. The purpose …