Latest AI and machine learning research in obesity for healthcare professionals.
Depression is the most incapacitating disease worldwide, and it has an alarming comorbidity rate wit...
Background: The present study investigates the relationship between hypertransaminasemia and malnutr...
BACKGROUND/AIMS: Performance status is crucial for most clinical research, as an eligibility criteri...
BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in th...
OBJECTIVES: We adopted the machine-learning algorithms and deep-learning sequential model to determi...
Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderl...
Non-alcoholic fatty liver disease (NAFLD) and cardiometabolic disorders are highly prevalent in obes...
Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefit...
Background CT biomarkers both inside and outside the pancreas can potentially be used to diagnose ty...
(1) To investigate whether interventional cone-beam computed tomography (cbCT) could benefit from AI...
In this study, the blood test index, demographic data, and health promotion behavior of adolescents ...
Skeletal muscle area (SMA), representing skeletal muscle cross-sectional area at the L3 vertebral l...
Medical costs are one of the most common recurring expenses in a person's life. Based on different r...
Robot-assisted radical prostatectomy (RARP) is the conventional surgical treatment option for locali...
Obesity, associated with having excess body fat, is a critical public health problem that can cause ...
BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in ...
For large prostate volume, open simple prostatectomy (OSP) or holmium laser enucleation are the gold...
Gestational Diabetes Mellitus (GDM), a common pregnancy complication associated with many maternal a...
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of ...
This study looked at novel data sources for cardiovascular risk prediction including detailed lifest...
The key factors playing a role in the pathogenesis of metabolic alterations observed in many patient...