AIMC Topic: Obesity

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A review of the application of deep learning in obesity: From early prediction aid to advanced management assistance.

Diabetes & metabolic syndrome Apr 4, 2024
BACKGROUND AND AIMS: Obesity is a chronic disease which can cause severe metabolic disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to be useful in obesity research. However, there is a dearth of systematic revi...
Prognosis Deep Learning Obesity Humans
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Transforming Big Data into AI-ready data for nutrition and obesity research.

Obesity (Silver Spring, Md.) Mar 1, 2024
OBJECTIVE: Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), h...
Big Data Humans Accelerometry Metabolomics Artificial Intelligence Software Nutritional Sciences Obesity Machine Learning Biomedical Research
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Increased brain fractional perfusion in obesity using intravoxel incoherent motion (IVIM) MRI metrics.

Obesity (Silver Spring, Md.) Feb 21, 2024
OBJECTIVE: This research seeks to shed light on the associations between brain perfusion, cognitive function, and mental health in individuals with and without obesity.
Diffusion Magnetic Resonance Imaging Artificial Intelligence Brain Magnetic Resonance Imaging Obesity Perfusion Humans
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Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs.

Magma (New York, N.Y.) Feb 1, 2024
OBJECTIVE: Increased subcutaneous and visceral adipose tissue (SAT/VAT) volume is associated with risk for cardiometabolic diseases. This work aimed to develop and evaluate automated abdominal SAT/VAT segmentation on longitudinal MRI in adults with o...
Neural Networks, Computer Algorithms Female Humans Male Middle Aged Imaging, Three-Dimensional Reproducibility of Results Aged Adult Contrast Media Overweight Magnetic Resonance Imaging Longitudinal Studies Obesity Image Interpretation, Computer-Assisted Abdominal Fat Intra-Abdominal Fat
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The use of machine learning in paediatric nutrition.

Current opinion in clinical nutrition and metabolic care Jan 31, 2024
PURPOSE OF REVIEW: In recent years, there has been a burgeoning interest in using machine learning methods. This has been accompanied by an expansion in the availability and ease of use of machine learning tools and an increase in the number of large...
Machine Learning Child Obesity Child Nutritional Physiological Phenomena Humans
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Robot-assisted vs laparoscopic bariatric procedures in super-obese patients: clinical and economic outcomes.

Journal of robotic surgery Jan 17, 2024
The increased operative time and costs represent the main limitations of robotic technology application to bariatric surgery. Robotic platforms may help the surgeon to overcome the technical difficulties in super-obese (SO, BMI ≥ 50 kg/m) patients, i...
Humans Gastric Bypass Bariatrics Robotics Laparoscopy Retrospective Studies Robotic Surgical Procedures Obesity
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Development of a Non-Contact Sensor System for Converting 2D Images into 3D Body Data: A Deep Learning Approach to Monitor Obesity and Body Shape in Individuals in Their 20s and 30s.

Sensors (Basel, Switzerland) Jan 2, 2024
This study demonstrates how to generate a three-dimensional (3D) body model through a small number of images and derive body values similar to the actual values using generated 3D body data. In this study, a 3D body model that can be used for body ty...
Cell Phone Somatotypes Obesity Linear Models Humans Female Male Deep Learning
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Impact of Visceral Fat Area on Intraoperative Complexity and Surgical Approach Decision for Robot-Assisted Partial Nephrectomy: A Comparative Analysis with BMI.

Medical science monitor : international medical journal of experimental and clinical research Nov 3, 2023
BACKGROUND Optimizing surgical approaches for robot-assisted partial nephrectomy (RAPN) is vital for better patient outcomes. This retrospective study aimed to examine how visceral fat area (VFA) and body mass index (BMI) correlate with intraoperativ...
Humans Intra-Abdominal Fat Retrospective Studies Nephrectomy Obesity, Abdominal Treatment Outcome Obesity Kidney Neoplasms Body Mass Index Robotics Robotic Surgical Procedures
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Reduced versus standard dose contrast volume for contrast-enhanced abdominal CT in overweight and obese patients using photon counting detector technology vs. second-generation dual-source energy integrating detector CT.

European journal of radiology Oct 18, 2023
PURPOSE: To compare image quality of contrast-enhanced abdominal-CT using 1st-generation Dual Source Photon-Counting Detector CT (DS-PCD-CT) versus 2nd-generation Dual-Source Energy Integrating-Detector CT (DS-EID-CT) in patients with BMI ≥ 25, apply...
Overweight Tomography, X-Ray Computed Obesity Aged Abdomen Humans Technology
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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...
United States Humans Obesity Artificial Intelligence Cross-Sectional Studies Machine Learning Prevalence
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