AIMC Topic: Adipose Tissue
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Body fat prediction through feature extraction based on anthropometric and laboratory measurements.
PloS one
Feb 22, 2022
Obesity, associated with having excess body fat, is a critical public health problem that can cause serious diseases. Although a range of techniques for body fat estimation have been developed to assess obesity, these typically involve high-cost test...
Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans.
Scientific reports
Feb 10, 2022
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of major adverse cardiac events. As manual quantification of EAT is time-consuming, requires specialized training, and is prone to human error, we develope...
Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.
Nutrients
Jan 15, 2022
The key factors playing a role in the pathogenesis of metabolic alterations observed in many patients with obesity have not been fully characterized. Their identification is crucial, and it would represent a fundamental step towards better management...
Adipose Tissue
Glycated Hemoglobin
Alanine Transaminase
Absorptiometry, Photon
Obesity, Metabolically Benign
Humans
Middle Aged
Artificial Intelligence
Insulin-Like Growth Factor I
Machine Learning
Health Status
Biomarkers
Metabolic Syndrome
Prognosis
Obesity
Retrospective Studies
Female
Risk Factors
Adult
Male
Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer.
The Journal of pathology
Dec 28, 2021
The spread of early-stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a key event in disease progression of colorectal cancer (CRC). The cellular mechanisms behind this event are not completely understood and existing predictive biomar...
Risk Assessment
Diagnosis, Computer-Assisted
Deep Learning
Lymph Nodes
Lymphatic Metastasis
Humans
Retrospective Studies
Reproducibility of Results
Risk Factors
Colorectal Neoplasms
Microscopy
Image Interpretation, Computer-Assisted
Proof of Concept Study
Early Detection of Cancer
Adipose Tissue
Predictive Value of Tests
Neoplasm Staging
Biopsy
Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies.
Scientific reports
Dec 13, 2021
To develop a fully automatic model capable of reliably quantifying epicardial adipose tissue (EAT) volumes and attenuation in large scale population studies to investigate their relation to markers of cardiometabolic risk. Non-contrast cardiac CT ima...
Artificial neural network model effectively estimates muscle and fat mass using simple demographic and anthropometric measures.
Clinical nutrition (Edinburgh, Scotland)
Nov 24, 2021
BACKGROUND & AIMS: Lean muscle and fat mass in the human body are important indicators of the risk of cardiovascular and metabolic diseases. Techniques such as dual-energy X-ray absorptiometry (DXA) accurately measure body composition, but they are c...
Application of Medical Imaging Based on Deep Learning in the Treatment of Lumbar Degenerative Diseases and Osteoporosis with Bone Cement Screws.
Computational and mathematical methods in medicine
Oct 11, 2021
OBJECTIVE: To explore the application value of magnetic resonance spectroscopy (MRS) and GSI-energy spectrum electronic computed tomography (CT) medical imaging based on the deep convolutional neural network (CNN) in the treatment of lumbar degenerat...
Male
Bone Cements
Tomography, X-Ray Computed
Humans
Bone Screws
Middle Aged
Female
Deep Learning
Magnetic Resonance Spectroscopy
Aged
Lumbar Vertebrae
Computational Biology
Aged, 80 and over
Neural Networks, Computer
Bone Diseases
Adult
Adipose Tissue
Bone Density
Image Interpretation, Computer-Assisted
Osteoporosis
Absorptiometry, Photon
Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions.
Scientific reports
Aug 16, 2021
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation techniques. A convolutional neural network (CNN) model was trained to se...
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...
A novel approach to dry weight adjustments for dialysis patients using machine learning.
PloS one
Apr 23, 2021
BACKGROUND AND AIMS: Knowledge of the proper dry weight plays a critical role in the efficiency of dialysis and the survival of hemodialysis patients. Recently, bioimpedance spectroscopy(BIS) has been widely used for set dry weight in hemodialysis pa...
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