Latest AI and machine learning research in obesity for healthcare professionals.
Central nervous system tumours represent one of the most lethal cancer types, particularly among chi...
Roux-en-Y gastric bypass (RYGB) in patients with body mass index (BMI) ≥ 50 kg/m is a challenging pr...
BACKGROUND: There is considerable geographic heterogeneity in obesity prevalence across counties in ...
BACKGROUND: The identification of associated overweight risk factors is crucial to future health ris...
We aimed to assess Large Language Models (LLMs)-ChatGPT 3.5-4, BARD, and Bing-in their accuracy and ...
BACKGROUND: Obesity is associated with an increased risk of multiple conditions, ranging from heart ...
Given that mobile digital imaging analyses (DIA) are equipped to automate body composition and subse...
RAPN can be carried out via a transperitoneal or retroperitoneal approach. The choice between the tw...
The prevalence of childhood obesity has increased significantly worldwide, highlighting a need for ...
The anti-obesity potential of probiotics has been widely reported, however their utilization in high...
Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence, although diagno...
Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interactio...
Co-occurrence of diseases decreases patient quality of life, complicates treatment choices, and incr...
This study uses artificial intelligence for testing (1) whether the comorbidity of diabetes and its ...
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajector...
BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includ...
Early diagnosis and prediction of chronic kidney disease (CKD) progress within a given duration are ...
OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT im...
Postoperative urinary incontinence after robot-assisted radical prostatectomy (RARP) represents a b...
INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk ...
Machine learning (ML) could have advantages over traditional statistical models in identifying risk ...