The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

K Hung, C Montalvao, R Tanaka… - Dentomaxillofacial …, 2020 - academic.oup.com
Objectives: To investigate the current clinical applications and diagnostic performance of
artificial intelligence (AI) in dental and maxillofacial radiology (DMFR). Methods: Studies …

Artificial intelligence in oral and maxillofacial radiology: what is currently possible?

MS Heo, JE Kim, JJ Hwang, SS Han… - Dentomaxillofacial …, 2021 - academic.oup.com
Artificial intelligence, which has been actively applied in a broad range of industries in
recent years, is an active area of interest for many researchers. Dentistry is no exception to …

Current applications and development of artificial intelligence for digital dental radiography

RH Putra, C Doi, N Yoda, ER Astuti… - Dentomaxillofacial …, 2022 - academic.oup.com
In the last few years, artificial intelligence (AI) research has been rapidly developing and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …

2D-to-3D: a review for computational 3D image reconstruction from X-ray images

P Maken, A Gupta - Archives of Computational Methods in Engineering, 2023 - Springer
In the clinical research, three-dimensional/volumetric anatomical structure of the human
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …

Cephalometric analysis in orthodontics using artificial intelligence—A comprehensive review

AK Subramanian, Y Chen, A Almalki… - BioMed Research …, 2022 - Wiley Online Library
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 …

Applications of artificial intelligence and machine learning in orthodontics: a scoping review

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 …

Influence of the depth of the convolutional neural networks on an artificial intelligence model for diagnosis of orthognathic surgery

YH Kim, JB Park, MS Chang, JJ Ryu, WH Lim… - Journal of Personalized …, 2021 - mdpi.com
The aim of this study was to investigate the relationship between image patterns in
cephalometric radiographs and the diagnosis of orthognathic surgery and propose a method …

Potential and impact of artificial intelligence algorithms in dento-maxillofacial radiology

KF Hung, QYH Ai, YY Leung, AWK Yeung - Clinical Oral Investigations, 2022 - Springer
Objectives Novel artificial intelligence (AI) learning algorithms in dento-maxillofacial
radiology (DMFR) are continuously being developed and improved using advanced …

3D cephalometric landmark detection by multiple stage deep reinforcement learning

SH Kang, K Jeon, SH Kang, SH Lee - Scientific reports, 2021 - nature.com
The lengthy time needed for manual landmarking has delayed the widespread adoption of
three-dimensional (3D) cephalometry. We here propose an automatic 3D cephalometric …

A lightweight deep learning architecture for the automatic detection of pneumonia using chest X-ray images

M Trivedi, A Gupta - Multimedia Tools and Applications, 2022 - Springer
Pneumonia is a life-threatening respiratory lung disease. Children are more prone to be
affected by the disease and accurate manual detection is not easy. Generally, chest …