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Body Mass Index

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Outcomes of Extraperitoneal Robot-Assisted Radical Prostatectomy in the Morbidly Obese: A Propensity Score-Matched Study.

Journal of endourology
INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with localized prostate cancer are presenting as candidates for robot-assisted radical prostatectomy (RARP), which can be carried out using the transperitoneal ...

Robotic single-site cholecystectomy in the obese: outcomes from a single institution.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: Robotic single-site cholecystectomy (RSSC) has been shown to be a safe alternative to the laparoscopic approach in selected patients. Patient exclusion criteria have prevented RSSC as a surgical option in many obese patients. This study r...

Comparison of Surgical Outcomes of Robot-Assisted and Laparoscopy-Assisted Pylorus-Preserving Gastrectomy for Gastric Cancer: A Propensity Score Matching Analysis.

Annals of surgical oncology
BACKGROUND: The three-dimensional view and articulating devices in robot system might have a benefit performing the delicate procedure of pylorus-preserving gastrectomy. This study was conducted to evaluate the feasibility and safety of robot-assiste...

Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

Computer methods and programs in biomedicine
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plant in a clinical dietary intervention. Even though a number of mathematical functions such as SPSS an...

Predicting Body Fat Percentage from Simple Anthropometric Measurements: A Machine Learning Approach.

Studies in health technology and informatics
Accurately assessing body fat percentage (BF%) is crucial for healthcare and fitness but is hindered by gold-standard methods that are costly and invasive. This study employs a dataset containing variables such as age, sex, Body Mass Index (BMI), and...

Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus among Women Population.

Current diabetes reviews
BACKGROUND: Diabetes Mellitus is a chronic health condition (long-lasting) due to inadequate control of blood levels of glucose. This study presents a prediction of Type 2 Diabetes Mellitus among women using various Machine Learning Algorithms deploy...

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

Obesity (Silver Spring, Md.)
OBJECTIVE: Individuals living with obesity are differentially susceptible to cardiometabolic diseases. We hypothesized that an integrative multi-omics approach might improve identification of subgroups of individuals with obesity who have distinct ca...

Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention.

Human brain mapping
Obesity is associated with negative effects on the brain. We exploit Artificial Intelligence (AI) tools to explore whether differences in clinical measurements following lifestyle interventions in overweight population could be reflected in brain mor...

Assessment of Osteoprotegerin and Receptor Activator of Nf-Κb Ligand in Malaysian Male Patients with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion
Background: Limited information exists regarding the pathophysiological interactions between osteoporosis and chronic obstructive pulmonary disease (COPD). Objective: To study the association of Osteoprotegerin (OPG) and receptor activator of nuclear...