Machine learning and orthodontics, current trends and the future opportunities: A scoping review
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 …
medicine and dentistry. Advancements in AI technology show promising results in the …
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 …
transformative force in multiple domains, including orthodontics. This review aims to provide …
[HTML][HTML] Technology-enhanced simulation-based learning in orthodontic education: a scoping review
K Sipiyaruk, P Kaewsirirat, P Santiwong - Dental Press Journal of …, 2023 - SciELO Brasil
Introduction: Technology-enhanced simulations seem to be effective in dentistry, as they can
support dental students to improve competencies in simulated environments. However …
support dental students to improve competencies in simulated environments. However …
Three-dimensional human head reconstruction using smartphone-based close-range video photogrammetry
D Matuzevičius, A Serackis - Applied Sciences, 2021 - mdpi.com
Creation of head 3D models from videos or pictures of the head by using close-range
photogrammetry techniques has many applications in clinical, commercial, industrial, artistic …
photogrammetry techniques has many applications in clinical, commercial, industrial, artistic …
Application of machine learning to stomatology: a comprehensive review
ML Sun, Y Liu, G Liu, D Cui, AA Heidari, WY Jia… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, machine learning methods has been widely used in various fields, such as
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …
Machine learning in orthodontics: Automated facial analysis of vertical dimension for increased precision and efficiency
M Rousseau, JM Retrouvey - American Journal of Orthodontics and …, 2022 - Elsevier
Introduction The digitization of dentistry has brought many opportunities to the specialty of
orthodontics. Advances in computing power and artificial intelligence are set to significantly …
orthodontics. Advances in computing power and artificial intelligence are set to significantly …
The anthropometric measurement of nasal landmark locations by digital 2D photogrammetry using the convolutional neural network
N Minh Trieu, N Truong Thinh - Diagnostics, 2023 - mdpi.com
Measuring and labeling human face landmarks are time-consuming jobs that are conducted
by experts. Currently, the applications of the Convolutional Neural Network (CNN) for image …
by experts. Currently, the applications of the Convolutional Neural Network (CNN) for image …
[HTML][HTML] Combining machine learning and close-range photogrammetry for infant's head 3D measurement: A smartphone-based solution
Three-dimensional data has a wide range of applications in medicine. For the particular
case of cranial deformation in infants, it is becoming a common tool for evaluation. However …
case of cranial deformation in infants, it is becoming a common tool for evaluation. However …
facial anthropometric, landmark extraction, and nasal reconstruction technology
Facial anthropometrics are measurements of human faces and are important figures that are
used in many different fields, such as cosmetic surgery, protective gear design …
used in many different fields, such as cosmetic surgery, protective gear design …
[HTML][HTML] Cascade of convolutional models for few-shot automatic cephalometric landmarks localization
Cephalometric landmarks are used in many forensic tasks of great relevance. Nevertheless,
the automatic localization of such points is greatly underdeveloped in the scientific literature …
the automatic localization of such points is greatly underdeveloped in the scientific literature …