Primary Care

Obesity

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

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Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns ab...

A novel neural-inspired learning algorithm with application to clinical risk prediction.

Clinical risk prediction - the estimation of the likelihood an individual is at risk of a disease - ...

Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.

OBJECTIVE: In a previous study we demonstrated continuous translation, orientation and one-dimension...

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

INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with local...

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

BACKGROUND: Robotic single-site cholecystectomy (RSSC) has been shown to be a safe alternative to th...

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

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...

Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.

Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associ...

Nutritional and lifestyle predictors of rectal bleeding in functional constipation: A machine learning approach.

BACKGROUND: Rectal bleeding among young adults is an increasingly common clinical concern often link...

Automate Creating, Customizing, and Optimizing Comorbidity Indices Using a Data-Driven AI/ML Approach.

Due to individual differences in severity of illness, clinical studies typically use a comorbidity i...

Brain Age Prediction: Deep Models Need a Hand to Generalize.

Predicting brain age from T1-weighted MRI is a promising marker for understanding brain aging and it...

Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure.

Anorexia nervosa (AN), a severe eating disorder marked by extreme weight loss and malnutrition, lead...

Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation.

BACKGROUND: Most forms of obesity are associated with chronic diseases that remain a global public h...

Interpretable lung cancer risk prediction using ensemble learning and XAI based on lifestyle and demographic data.

Lung cancer is a leading cause of cancer-related death worldwide. The early and accurate detection o...

Artificial Intelligence to Improve Blood Pressure Control: A State-of-the-Art Review.

Hypertension remains a major global health challenge, contributing to significant morbidity and mort...

Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704.

Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults wi...

Automated segmentation of target volumes in breast cancer radiotherapy, impact on target size and dose to organs at risk.

INTRODUCTION: Target volume delineation is crucial in breast cancer radiotherapy planning but involv...

Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease.

BACKGROUND: Steatotic liver disease (SLD) is the most common liver disease worldwide, affecting 30% ...

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