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 …

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 develo** and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …

Automated Identification of Cephalometric Landmarks: Part 2-Might It Be Better Than human?

HW Hwang, JH Park, JH Moon, Y Yu… - The Angle …, 2020 - meridian.allenpress.com
Objectives To compare detection patterns of 80 cephalometric landmarks identified by an
automated identification system (AI) based on a recently proposed deep-learning method …

[HTML][HTML] Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making-a systematic review

SB Khanagar, A Al-Ehaideb, S Vishwanathaiah… - Journal of dental …, 2021 - Elsevier
Background/purpose In the recent years artificial intelligence (AI) has revolutionized in the
field of dentistry. The aim of this systematic review was to document the scope and …

Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform

RK Mahto, D Kafle, A Giri, S Luintel, A Karki - BMC Oral Health, 2022 - Springer
Abstract Background Artificial Intelligence has created a huge impact in different areas of
dentistry. Automated cephalometric analysis is one of the major applications of artificial …

Personal computer-based cephalometric landmark detection with deep learning, using cephalograms on the internet

S Nishimoto, Y Sotsuka, K Kawai, H Ishise… - Journal of …, 2019 - journals.lww.com
Background: Cephalometric analysis has long been, and still is one of the most important
tools in evaluating craniomaxillofacial skeletal profile. To perform this, manual tracing of x …

Application of Artificial Intelligence (AI) in a cephalometric analysis: a narrative review

M Kiełczykowski, K Kamiński, K Perkowski, M Zadurska… - Diagnostics, 2023 - mdpi.com
In recent years, the application of artificial intelligence (AI) has become more and more
widespread in medicine and dentistry. It may contribute to improved quality of health care as …

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 …

Automatic analysis of lateral cephalograms based on multiresolution decision tree regression voting

S Wang, H Li, J Li, Y Zhang… - Journal of healthcare …, 2018 - Wiley Online Library
Cephalometric analysis is a standard tool for assessment and prediction of craniofacial
growth, orthodontic diagnosis, and oral‐maxillofacial treatment planning. The aim of this …

Use of automated learning techniques for predicting mandibular morphology in skeletal class I, II and III

TC Niño-Sandoval, SVG Pérez, FA González… - Forensic science …, 2017 - Elsevier
Background The prediction of the mandibular bone morphology in facial reconstruction for
forensic purposes is usually performed considering a straight profile corresponding to …