AIMC Topic: Body Composition
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Predicting carcass cut yields in cattle from digital images using artificial intelligence.
Meat science
Sep 10, 2021
Deep Learning (DL) has proven to be a successful tool for many image classification problems but has yet to be applied to carcass images. The aim of this study was to train DL models to predict carcass cut yields and compare predictions to more stand...
Detection of sarcopenic obesity and prediction of long-term survival in patients with gastric cancer using preoperative computed tomography and machine learning.
Journal of surgical oncology
Sep 7, 2021
BACKGROUND: Previous studies evaluating the prognostic value of computed tomography (CT)-derived body composition data have included few patients. Thus, we assessed the prevalence and prognostic value of sarcopenic obesity in a large population of ga...
Pixel-wise body composition prediction with a multi-task conditional generative adversarial network.
Journal of biomedical informatics
Jul 18, 2021
The analysis of human body composition plays a critical role in health management and disease prevention. However, current medical technologies to accurately assess body composition such as dual energy X-ray absorptiometry, computed tomography, and m...
Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment.
Clinical nutrition (Edinburgh, Scotland)
Jul 15, 2021
BACKGROUND & AIMS: Body composition analysis on CT images is a valuable tool for sarcopenia assessment. We aimed to develop and validate a deep neural network applicable to whole-body CT images of PET-CT scan for the automatic volumetric segmentation...
Nutrition Assessment
Abdomen
Sarcopenia
Muscle, Skeletal
Female
Aged
Male
Middle Aged
Intra-Abdominal Fat
Subcutaneous Fat
Whole Body Imaging
Positron Emission Tomography Computed Tomography
Body Composition
Radiopharmaceuticals
Fluorodeoxyglucose F18
Humans
Neural Networks, Computer
Retrospective Studies
Republic of Korea
Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis.
Hepatology communications
Jul 7, 2021
Body composition measures derived from already available electronic medical records (computed tomography [CT] scans) can have significant value, but automation of measurements is needed for clinical implementation. We sought to use artificial intelli...
Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning.
eLife
Jun 15, 2021
Cardiometabolic diseases are an increasing global health burden. While socioeconomic, environmental, behavioural, and genetic risk factors have been identified, a better understanding of the underlying mechanisms is required to develop more effective...
Prognostic implications of body composition change during primary treatment in patients with ovarian cancer: A retrospective study using an artificial intelligence-based volumetric technique.
Gynecologic oncology
May 14, 2021
OBJECTIVE: To investigate the impact of changes in body composition during primary treatment on survival outcomes in patients with epithelial ovarian cancer (EOC).
Machine Learning in Body Composition Analysis.
European urology focus
Mar 24, 2021
Body composition analysis (BCA) generates objective anthropometric data that can inform prognostication and treatment decisions across a wide variety of urologic conditions. A patient's body composition, specifically muscle and adipose tissue mass, m...
Artificial intelligence-aided CT segmentation for body composition analysis: a validation study.
European radiology experimental
Mar 11, 2021
BACKGROUND: Body composition is associated with survival outcome in oncological patients, but it is not routinely calculated. Manual segmentation of subcutaneous adipose tissue (SAT) and muscle is time-consuming and therefore limited to a single CT s...
Using machine learning to investigate the relationship between domains of functioning and functional mobility in older adults.
PloS one
Feb 11, 2021
Previous studies have shown that functional mobility, along with other physical functions, decreases with advanced age. However, it is still unclear which domains of functioning (body structures, body functions, and activities) are most closely relat...
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