Objectives Deep learning (DL) has been increasingly employed for automated landmark detection, eg, for cephalometric purposes. We performed a systematic review and meta …
Artificial intelligence (AI) is a branch of science concerned with developing programs and computers that can gather data, reason about it, and then translate it into intelligent actions …
YM Bichu, I Hansa, AY Bichu, P Premjani… - Progress in …, 2021 - Springer
Introduction This scoping review aims to provide an overview of the existing evidence on the use of artificial intelligence (AI) and machine learning (ML) in orthodontics, its translation into …
The advent of artificial intelligence (AI) in medicine has transformed various medical specialties, including orthodontics. AI has shown promising results in enhancing the …
N Xu, D Yang, K Arikawa, C Bai - Clinical eHealth, 2023 - Elsevier
Over the last decade, artificial intelligence in medicine has attracted much attention and interest for its robust automation and efficiency in disease diagnosis, treatment and …
SM Gil, I Kim, JH Cho, M Hong, M Kim, SJ Kim… - American Journal of …, 2022 - Elsevier
Introduction The purpose of this study was to evaluate the accuracy of auto-identification of the posteroanterior (PA) cephalometric landmarks using the cascade convolution neural …
K Ghods, A Azizi, A Jafari, K Ghods - Journal of Dentistry, 2023 - ncbi.nlm.nih.gov
Purpose: Therefore, the present study was conducted to comprehensively review various applications of AI in all dental branches along with its advantages and disadvantages …
SM Ryu, K Shin, SW Shin, SH Lee, SM Seo… - Computers in Biology …, 2022 - Elsevier
Landmark detection in flatfoot radiographs is crucial in analyzing foot deformity. Here, we evaluated the accuracy and efficiency of the automated identification of flatfoot landmarks …
VNT Le, J Kang, IS Oh, JG Kim, YM Yang… - Journal of Personalized …, 2022 - mdpi.com
Detection of cephalometric landmarks has contributed to the analysis of malocclusion during orthodontic diagnosis. Many recent studies involving deep learning have focused on head …