Primary Care

Obesity

Latest AI and machine learning research in obesity for healthcare professionals.

1,198 articles
Stay Ahead - Weekly Obesity research updates
Subscribe
Browse Specialties
Showing 484-504 of 1,198 articles
Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry.

Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence, although diagno...

Effect of Lower Limb Exoskeleton on the Modulation of Neural Activity and Gait Classification.

Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interactio...

Molecular bases of comorbidities: present and future perspectives.

Co-occurrence of diseases decreases patient quality of life, complicates treatment choices, and incr...

Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition.

This study uses artificial intelligence for testing (1) whether the comorbidity of diabetes and its ...

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajector...

Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments.

BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includ...

Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease.

Early diagnosis and prediction of chronic kidney disease (CKD) progress within a given duration are ...

Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.

OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT im...

Identifying Young Adults at High Risk for Weight Gain Using Machine Learning.

INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk ...

Quadrifecta outcomes and their predictors following robotic radical prostatectomy: a study of newly established robotic center in India.

Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three op...

Machine learning algorithms for identifying predictive variables of mortality risk following dementia diagnosis: a longitudinal cohort study.

Machine learning (ML) could have advantages over traditional statistical models in identifying risk ...

Health system-scale language models are all-purpose prediction engines.

Physicians make critical time-constrained decisions every day. Clinical predictive models can help p...

Robot-assisted partial nephrectomy in morbidly obese patients: a VCQI database study.

To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients wi...

Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model.

One of the important concerns in the field of exercise immunology is determining the appropriate int...

Beyond ideals: why the (medical) AI industry needs to motivate behavioural change in line with fairness and transparency values, and how it can do it.

Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and tre...

Deep learning-based measurement of echocardiographic data and its application in the diagnosis of sudden cardiac death.

This study aimed to evaluate the potential of deep learning applied to the measurement of echocardio...

Exploring the Potential of Chat GPT in Personalized Obesity Treatment.

Obesity has become a serious global health problem. For some patients who cannot be treated with tra...

Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review.

OBJECTIVE: Disease comorbidity is a major challenge in healthcare affecting the patient's quality of...

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

Robot-assisted radical prostatectomy (RARP) in men with body mass index (BMI) ≥ 35 kg/m is considere...

Browse Specialties