Deep learning for cephalometric landmark detection: systematic review and meta-analysis

F Schwendicke, A Chaurasia, L Arsiwala, JH Lee… - Clinical oral …, 2021 - Springer
Objectives Deep learning (DL) has been increasingly employed for automated landmark
detection, eg, for cephalometric purposes. We performed a systematic review and meta …

Machine learning and orthodontics, current trends and the future opportunities: A scoping review

H Mohammad-Rahimi, M Nadimi, MH Rohban… - American Journal of …, 2021 - Elsevier
Introduction In recent years, artificial intelligence (AI) has been applied in various ways in
medicine and dentistry. Advancements in AI technology show promising results in the …

Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

JH Lee, HJ Yu, M Kim, JW Kim, J Choi - BMC oral health, 2020 - Springer
Background Despite the integral role of cephalometric analysis in orthodontics, there have
been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing …

Development, application, and performance of artificial intelligence in cephalometric landmark identification and diagnosis: a systematic review

N Junaid, N Khan, N Ahmed, MS Abbasi, G Das… - Healthcare, 2022 - mdpi.com
This study aimed to analyze the existing literature on how artificial intelligence is being used
to support the identification of cephalometric landmarks. The systematic analysis of literature …

Application of artificial intelligence in orthodontics: current state and future perspectives

J Liu, C Zhang, Z Shan - Healthcare, 2023 - mdpi.com
In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …

Artificial intelligence for detecting cephalometric landmarks: a systematic review and meta-analysis

G de Queiroz Tavares Borges Mesquita… - Journal of Digital …, 2023 - Springer
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 …

A review on AI-based medical image computing in head and neck surgery

J Xu, B Zeng, J Egger, C Wang… - Physics in Medicine …, 2022 - iopscience.iop.org
Head and neck surgery is a fine surgical procedure with a complex anatomical space,
difficult operation and high risk. Medical image computing (MIC) that enables accurate and …

Estimating cervical vertebral maturation with a lateral cephalogram using the convolutional neural network

EG Kim, IS Oh, JE So, J Kang, VNT Le, MK Tak… - Journal of Clinical …, 2021 - mdpi.com
Recently, the estimation of bone maturation using deep learning has been actively
conducted. However, many studies have considered hand–wrist radiographs, while a few …

Semi-supervised anatomical landmark detection via shape-regulated self-training

R Chen, Y Ma, L Liu, N Chen, Z Cui, G Wei, W Wang - Neurocomputing, 2022 - Elsevier
Well-annotated medical images are costly and sometimes even impossible to acquire,
hindering landmark detection accuracy to some extent. Semi-supervised learning alleviates …

The knowledge, experience, and attitude on artificial intelligence-assisted cephalometric analysis: Survey of orthodontists and orthodontic students

L Lin, B Tang, L Cao, J Yan, T Zhao, F Hua… - American Journal of …, 2023 - Elsevier
Introduction Artificial intelligence (AI) developed rapidly in orthodontics, and AI-based
cephalometric applications have been adopted. This study aimed to assess AI-assisted …