How reliable are AI-Assisted cephalometric programs in assessing measurements involving bilateral landmarks?
Recent advancements in technology have promoted artificial intelligence (AI) to automatically detect landmarks on lateral cephalograms. This study aimed to evaluate the reliability of an AI-assisted cephalometric analysis program (Webceph, Gyeonggi-do, Republic of Korea) in the assessment of cephalo...
Saved in:
Main Authors: | Gurel Hakan Gurcan, Alkumru Pinar, Sectakof Pavel |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2025-06-01
|
Series: | Australasian Orthodontic Journal |
Online Access: | https://doi.org/10.2478/aoj-2025-0017 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated Landmark Detection and Lip Thickness Classification Using a Convolutional Neural Network in Lateral Cephalometric Radiographs
by: Miaomiao Han, et al.
Published: (2025-06-01) -
Reliability of lateral cephalometric radiographs in the assessment of the upper airway: a systematic review
by: M. E. Balashova, et al.
Published: (2021-07-01) -
Cephalometric characteristics of autochthonous population in the Republic of Kazakhstan
by: M. M. Soloviev, et al.
Published: (2013-12-01) -
An Efficient Hybrid 3D Computer-Aided Cephalometric Analysis for Lateral Cephalometric and Cone-Beam Computed Tomography (CBCT) Systems
by: Laurine A. Ashame, et al.
Published: (2025-06-01) -
Landmarks of mapmaking : an illustrated survey of maps and mapmakers /
by: Bricker, Charles
Published: (1976)