AIMC Topic: Obesity

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An interpretable machine learning model of cross-sectional U.S. county-level obesity prevalence using explainable artificial intelligence.

PloS one Oct 5, 2023
BACKGROUND: There is considerable geographic heterogeneity in obesity prevalence across counties in the United States. Machine learning algorithms accurately predict geographic variation in obesity prevalence, but the models are often uninterpretable...
Prevalence United States Obesity Machine Learning Cross-Sectional Studies Humans Artificial Intelligence
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Multimodal imaging-based material mass density estimation for proton therapy using supervised deep learning.

The British journal of radiology Oct 3, 2023
OBJECTIVE: Mapping CT number to material property dominates the proton range uncertainty. This work aims to develop a physics-constrained deep learning-based multimodal imaging (PDMI) framework to integrate physics, deep learning, MRI, and advanced d...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Retrospective Studies Multimodal Imaging Proton Therapy Protons Magnetic Resonance Imaging Obesity
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Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning.

Frontiers in endocrinology Aug 29, 2023
BACKGROUND: Metabolic syndrome (Mets) is considered a global epidemic of the 21st century, predisposing to cardiometabolic diseases. This study aims to describe and compare the body composition profiles between metabolic healthy (MH) and metabolic un...
Obesity Humans East Asian People Body Composition Cross-Sectional Studies Machine Learning Metabolic Syndrome
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Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques.

PloS one Aug 15, 2023
AIM: To study the existence of subgroups by exploring the similarities between the attributes of the nodes of the groups, in relation to diet and gender and, to analyse the connectivity between groups based on aspects of similarities between them thr...
Artificial Intelligence Machine Learning Pandemics Social Network Analysis Humans Adolescent Obesity
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Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments.

International journal of obesity (2005) Jul 1, 2023
BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includes the role of environmental factors. For understanding contextual determinants, the resources provided by technological advances could become a key f...
Humans Artificial Intelligence Obesity Information Sources Adult
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Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.

Frontiers in endocrinology Jun 26, 2023
OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT images), to estimate in kilograms (Kg) the body composition (BC) in patients with obesity (PwO), by comparison with Dual-energy X-ray absorptiometry (DX...
Artificial Intelligence Tomography, X-Ray Computed Obesity Body Composition Cross-Sectional Studies Absorptiometry, Photon Humans
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Identifying Young Adults at High Risk for Weight Gain Using Machine Learning.

The Journal of surgical research Jun 15, 2023
INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk for weight gain and intervening before they gain weight could have a major public health impact. Our objective was to develop and test electronic heal...
Humans Electronic Health Records Female Young Adult Neural Networks, Computer Machine Learning Obesity Weight Gain Adult Male
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The effect of double W tension-reduced suture technique on the abdominal scars following the da Vinci robot-assisted gastrectomy for severely obese patients.

BMC surgery May 9, 2023
OBJECTIVE: To analyze the effect of a new type of tension-reduced suture named "double W tension-reduced suture technique" on the abdominal scars following the da Vinci robot-assisted gastrectomy for severely obese patients.
Gastrectomy Suture Techniques Robotics Humans Obesity Cicatrix
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Gender-specific data-driven adiposity subtypes using deep-learning-based abdominal CT segmentation.

Obesity (Silver Spring, Md.) May 8, 2023
OBJECTIVE: The aim of this study was to quantify abdominal adiposity and generate data-driven adiposity subtypes with different diabetes risks.
Obesity, Abdominal Adiposity Intra-Abdominal Fat Liver Obesity Male Deep Learning Tomography, X-Ray Computed Female Humans
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Exploring the Potential of Chat GPT in Personalized Obesity Treatment.

Annals of biomedical engineering May 5, 2023
Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technologies are a new source of hope. Chat GPT is a language model that has become popular in recent times ...
Obesity Technology Exercise Humans Artificial Intelligence
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