[HTML][HTML] Trends and application of artificial intelligence technology in orthodontic diagnosis and treatment planning—A review

F Albalawi, KA Alamoud - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) is a new breakthrough in technological advancements based on
the concept of simulating human intelligence. These emerging technologies highly influence …

[HTML][HTML] Applications of deep learning for drug discovery systems with bigdata

Y Matsuzaka, R Yashiro - Biomedinformatics, 2022 - mdpi.com
The adoption of “artificial intelligence (AI) in drug discovery”, where AI is used in the process
of pharmaceutical research and development, is progressing. By using the ability to process …

Static and motion facial analysis for craniofacial assessment and diagnosing diseases

H Matthews, G de Jong, T Maal… - Annual Review of …, 2022 - annualreviews.org
Deviation from a normal facial shape and symmetry can arise from numerous sources,
including physical injury and congenital birth defects. Such abnormalities can have …

Principal polynomial shape analysis: A non-linear tool for statistical shape modeling

K Duquesne, N Nauwelaers, P Claes… - Computer Methods and …, 2022 - Elsevier
Background and objectives The most widespread statistical modeling technique is based on
Principal Component Analysis (PCA). Although this approach has several appealing …

[HTML][HTML] Three-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability

K Nagawa, K Inoue, Y Hara, H Shimizu… - Scientific Reports, 2024 - nature.com
This study performed three-dimensional (3D) magnetic resonance imaging (MRI)-based
statistical shape analysis (SSA) by comparing patellofemoral instability (PFI) and normal …

[HTML][HTML] Personalized statistical modeling of soft tissue structures in the knee

A Van Oevelen, K Duquesne, M Peiffer… - … in Bioengineering and …, 2023 - frontiersin.org
Background and Objective: As in-vivo measurements of knee joint contact forces remain
challenging, computational musculoskeletal modeling has been popularized as an …

[HTML][HTML] Wear patterns in knee OA correlate with native limb geometry

A Van Oevelen, I Van den Borre… - … in Bioengineering and …, 2022 - frontiersin.org
Background: To date, the amount of cartilage loss is graded by means of discrete scoring
systems on artificially divided regions of interest (ROI). However, optimal statistical …

Association between prenatal alcohol exposure and children's facial shape: a prospective population-based cohort study

X Liu, M Kayser, SA Kushner, H Tiemeier… - Human …, 2023 - academic.oup.com
STUDY QUESTION Is there an association between low-to-moderate levels of prenatal
alcohol exposure (PAE) and children's facial shape? SUMMARY ANSWER PAE before and …

Developing a three-dimensional statistical shape model of normal dentition using an automated algorithm and normal samples

HH Kim, S Choi, YI Chang, WJ Yi, SJ Ahn - Clinical Oral Investigations, 2023 - Springer
Objectives The statistical shape model (SSM) is a model of geometric properties of a set of
shapes based on statistical shape analysis. The SSM develops an average model of several …

[HTML][HTML] Hybrid autoencoder with orthogonal latent space for robust population structure inference

M Yuan, H Hoskens, S Goovaerts, N Herrick… - Scientific reports, 2023 - nature.com
Abstract Analysis of population structure and genomic ancestry remains an important topic in
human genetics and bioinformatics. Commonly used methods require high-quality genotype …