AIMC Topic: Obesity
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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.
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 ...
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...
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...
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...
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...
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.
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...
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...
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,...
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