AIMC Topic: Obesity

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Functional and oncological outcomes of robot-assisted radical prostatectomy in obese men: a matched-pair analysis.

Journal of robotic surgery May 2, 2023
Robot-assisted radical prostatectomy (RARP) in men with body mass index (BMI) ≥ 35 kg/m is considered technically challenging. We conducted a retrospective matched-pair analysis to compare the oncological and functional outcomes of RARP in men with B...
Humans Retrospective Studies Male Robotic Surgical Procedures Matched-Pair Analysis Prostatectomy Treatment Outcome Obesity Robotics
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Emergency department use and Artificial Intelligence in Pelotas: design and baseline results.

Revista brasileira de epidemiologia = Brazilian journal of epidemiology Mar 10, 2023
OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency s...
Adult Male Middle Aged Humans Artificial Intelligence Female Obesity Brazil Emergency Service, Hospital Socioeconomic Factors
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Age-specific risk factors for the prediction of obesity using a machine learning approach.

Frontiers in public health Jan 17, 2023
Machine Learning is a powerful tool to discover hidden information and relationships in various data-driven research fields. Obesity is an extremely complex topic, involving biological, physiological, psychological, and environmental factors. One suc...
Obesity Aged Young Adult Humans Adult Male Machine Learning Middle Aged Age Factors Algorithms Female Risk Factors
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Journal of medical systems Jan 13, 2023
Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in...
Artificial Intelligence Overweight Humans Machine Learning Obesity Forecasting Computer Simulation Diet Deep Learning
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Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies.

Journal of medical Internet research Dec 7, 2022
BACKGROUND: Obesity is a leading cause of preventable death worldwide. Artificial intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has become an indispensable tool in obesity research.
Humans Artificial Intelligence Machine Learning Obesity Natural Language Processing PubMed
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Machine learning modeling practices to support the principles of AI and ethics in nutrition research.

Nutrition & diabetes Dec 2, 2022
BACKGROUND: Nutrition research is relying more on artificial intelligence and machine learning models to understand, diagnose, predict, and explain data. While artificial intelligence and machine learning models provide powerful modeling tools, failu...
Machine Learning Obesity Nutritional Status Humans Artificial Intelligence
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Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Contemporary clinical trials Nov 23, 2022
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and high cost of delivery. The artificial intelligence (AI) technique of reinforcement learning (RL) is an optimization solution that tracks outcomes assoc...
Artificial Intelligence Adult Randomized Controlled Trials as Topic Humans Diet Telemedicine Weight Loss Cost-Benefit Analysis Treatment Outcome Obesity
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Robot-assisted duodenal switch with DaVinci Xi: surgical technique and analysis of a single-institution experience of 661 cases.

Journal of robotic surgery Nov 13, 2022
Metabolic and bariatric surgery is an effective treatment for the management of obesity and related comorbidities. Although the duodenal switch has demonstrated superior results in terms of resolution of obesity-related comorbidities and weight loss,...
Obesity Robotics Laparoscopy Robotic Surgical Procedures Obesity, Morbid Postoperative Complications Weight Loss Treatment Outcome Humans Retrospective Studies
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Fully automated CT-based adiposity assessment: comparison of the L1 and L3 vertebral levels for opportunistic prediction.

Abdominal radiology (New York) Nov 11, 2022
PURPOSE: The purpose of this study is to compare fully automated CT-based measures of adipose tissue at the L1 level versus the standard L3 level for predicting mortality, which would allow for use at both chest (L1) and abdominal (L3) CT.
Humans Cross-Sectional Studies Obesity Artificial Intelligence Tomography, X-Ray Computed Male Adiposity Retrospective Studies Female Middle Aged Adult
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Evaluating the difference in walk patterns among normal-weight and overweight/obese individuals in real-world surfaces using statistical analysis and deep learning methods with inertial measurement unit data.

Physical and engineering sciences in medicine Nov 9, 2022
Unusual walk patterns may increase individuals' risks of falling. Anthropometric features of the human body, such as the body mass index (BMI), influences the walk patterns of individuals. In addition to the BMI, uneven walking surfaces may cause var...
Overweight Obesity Walking Artificial Intelligence Deep Learning Humans
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