AIMC Topic: Anthropometry
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Subject-specific trunk segmental masses prediction for musculoskeletal models using artificial neural networks.
Medical & biological engineering & computing
May 2, 2024
Accurate determination of body segment parameters is crucial for studying human movement and joint forces using musculoskeletal (MSK) models. However, existing methods for predicting segment mass have limited generalizability and sensitivity to body ...
A deep learning-based pipeline for developing multi-rib shape generative model with populational percentiles or anthropometrics as predictors.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 25, 2024
Rib cross-sectional shapes (characterized by the outer contour and cortical bone thickness) affect the rib mechanical response under impact loading, thereby influence the rib injury pattern and risk. A statistical description of the rib shapes or the...
Machine learning approach to assess the association between anthropometric, metabolic, and nutritional status and semen parameters.
Asian journal of andrology
Apr 12, 2024
Many lifestyle factors, such as nutritional imbalance leading to obesity, metabolic disorders, and nutritional deficiency, have been identified as potential risk factors for male infertility. The aim of this study was to evaluate the relationship bet...
Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features.
International journal of occupational safety and ergonomics : JOSE
Mar 30, 2024
. This study examines the role of different machine learning (ML) algorithms to determine which socio-demographic factors and hand-forearm anthropometric dimensions can be used to accurately predict hand function. . The cross-sectional study was cond...
Resolving the non-uniformity in the feature space of age estimation: A deep learning model based on feature clusters of panoramic images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jan 15, 2024
Age estimation is important in forensics, and numerous techniques have been investigated to estimate age based on various parts of the body. Among them, dental tissue is considered reliable for estimating age as it is less influenced by external fact...
Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass.
European journal of clinical nutrition
Dec 23, 2023
Currently available anthropometric body composition prediction equations were often developed on small participant samples, included only several measured predictor variables, or were prepared using conventional statistical regression methods. Machin...
Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Dec 6, 2023
PURPOSE: Radiation-free systems based on dorsal surface topography can potentially represent an alternative to radiographic examination for early screening of scoliosis, based on the ability of recognizing the presence of deformity or classifying its...
Machine learning model to predict the width of maxillary central incisor from anthropological measurements.
Journal of prosthodontic research
Oct 18, 2023
PURPOSE: To improve smile esthetics, clinicians should comprehensively analyze the face and ensure that the sizes selected for the maxillary anterior teeth are compatible with the available anthropological measurements. The inter commissural (ICW), i...
A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data.
Singapore medical journal
May 2, 2023
INTRODUCTION: Obstructive sleep apnoea (OSA) is a serious but underdiagnosed condition. Demand for the gold standard diagnostic polysomnogram (PSG) far exceeds its availability. More efficient diagnostic methods are needed, even in tertiary settings....
Agreement of anthropometric and body composition measures predicted from 2D smartphone images and body impedance scales with criterion methods.
Obesity research & clinical practice
Jan 31, 2022
BACKGROUND/OBJECTIVES: Body composition and anthropometry assessment from two-dimensional smartphone images is possible through advancement of computational hardware and artificial intelligence (AI) techniques. This study established agreement of a n...
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