AIMC Topic: Body Composition

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A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study.

JMIR mHealth and uHealth Jul 10, 2020
BACKGROUND: Poor diet and physical inactivity are leading modifiable causes of death and disease. Advances in artificial intelligence technology present tantalizing opportunities for creating virtual health coaches capable of providing personalized s...
Humans Artificial Intelligence Female Aged Adult Health Promotion Australia Blood Pressure Body Composition Male Proof of Concept Study Middle Aged Diet Exercise
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DXA measured body composition predicts blood pressure using machine learning methods.

Journal of clinical hypertension (Greenwich, Conn.) Jun 4, 2020
Humans Machine Learning Reproducibility of Results Hypertension Adipose Tissue Blood Pressure Body Composition Absorptiometry, Photon
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Improving energy expenditure estimates from wearable devices: A machine learning approach.

Journal of sports sciences Apr 6, 2020
A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bioenergetics. The aim of this study was to apply a non-linear, machine learning algorithm (random forest) to predict minute level EE for a range of act...
Female Adult Male Middle Aged Exercise Humans Machine Learning Algorithms Heart Rate Energy Metabolism Body Temperature Accelerometry Fitness Trackers Body Mass Index Body Composition Walking Activities of Daily Living Jogging Calorimetry, Indirect Sedentary Behavior Bicycling Galvanic Skin Response
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Novel body fat estimation using machine learning and 3-dimensional optical imaging.

European journal of clinical nutrition Mar 16, 2020
Estimates of body composition have been derived using 3-dimensional optical imaging (3DO), but no equations to date have been calibrated using a 4-component (4C) model criterion. This investigation reports the development of a novel body fat predicti...
Male Imaging, Three-Dimensional Adipose Tissue Body Composition Optical Imaging Humans Machine Learning Female Adult
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Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.

European radiology Feb 13, 2020
INTRODUCTION: The aim of the study was to extract anthropometric measures from CT by deep learning and to evaluate their prognostic value in patients with non-small-cell lung cancer (NSCLC).
Whole Body Imaging Muscle, Skeletal Positron Emission Tomography Computed Tomography Neoplasm Staging Body Composition Progression-Free Survival Proportional Hazards Models Body Surface Area Intra-Abdominal Fat Subcutaneous Fat Disease Progression Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Adult Survival Rate Male Middle Aged Humans Prognosis Female Reproducibility of Results Aged
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Artificial Intelligence in the Evaluation of Body Composition.

Seminars in musculoskeletal radiology Jan 28, 2020
Body composition entails the measurement of muscle and fat mass in the body and has been shown to impact clinical outcomes in various aspects of human health. As a result, the need is growing for reliable and efficient noninvasive tools to measure bo...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Artificial Intelligence Body Composition
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Automated body composition analysis of clinically acquired computed tomography scans using neural networks.

Clinical nutrition (Edinburgh, Scotland) Jan 22, 2020
BACKGROUND & AIMS: The quantity and quality of skeletal muscle and adipose tissue is an important prognostic factor for clinical outcomes across several illnesses. Clinically acquired computed tomography (CT) scans are commonly used for quantificatio...
Aged Adult Male Middle Aged Deep Learning Europe Sarcopenia Muscle, Skeletal Adipose Tissue Adiposity Neural Networks, Computer Automation Tomography, X-Ray Computed North America Female Reproducibility of Results Predictive Value of Tests Humans Body Composition Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae
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Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning.

Lifestyle genomics Dec 10, 2019
BACKGROUND: Body composition is increasingly being recognized as an important prognostic factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed tomography (CT) scans, when taken as part of routine care, provi...
Pattern Recognition, Automated Humans Lumbosacral Region Subcutaneous Fat Neural Networks, Computer Muscle, Skeletal Tomography, X-Ray Computed Reproducibility of Results Adipose Tissue Deep Learning Body Composition Image Processing, Computer-Assisted Lumbar Vertebrae Body Mass Index Cost-Benefit Analysis
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Automatic monitoring system for individual dairy cows based on a deep learning framework that provides identification via body parts and estimation of body condition score.

Journal of dairy science Sep 11, 2019
Body condition score (BCS) is a common tool for indirectly estimating the mobilization of energy reserves in the fat and muscle of cattle that meets the requirements of animal welfare and precision livestock farming for the effective monitoring of in...
Linear Models Dairying Cattle Body Composition Lactation Animal Welfare Female Animals Deep Learning Ultrasonography
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Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment.

Skeletal radiology Aug 8, 2019
OBJECTIVE: To develop a deep convolutional neural network (CNN) to automatically segment an axial CT image of the pelvis for body composition measures. We hypothesized that a deep CNN approach would achieve high accuracy when compared to manual segme...
Muscle, Skeletal Female Humans Adipose Tissue Male Body Composition Datasets as Topic Neural Networks, Computer Middle Aged Pelvis Retrospective Studies Contrast Media Tomography, X-Ray Computed
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