Latest AI and machine learning research in obesity for healthcare professionals.
Paracetamol is one of the most common analgesic and antipyretic drugs. Recently intravenous paracetamol has been widely used to treat moderate postoperative pain. Surgery is the main method of treatment of renal cancer. Total or partial nephrectomy can be performed, depending on the size and location of the tumor. Pharmacokinetics of drugs may depend on the type of surgery. The aim of the study wa...
Breast cancer is the most common invasive cancer among women and its incidence is increasing. Risk assessment is valuable and recent methods are incorporating novel biomarkers such as mammographic density. Artificial neural networks (ANN) are adaptive algorithms capable of performing pattern-to-pattern learning and are well suited for medical applications. They are potentially useful for calibrati...
RATIONALE: Obesity is considered a relative contraindication to pancreas transplantation due to increased risks of wound-related complications. Roboti...
Case-based reasoning and data interpretation is an artificial intelligence approach that capitalizes on past experience to solve current problems and ...
Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and incidence are difficult to assess. In Africa, few stud...
Drug and supplement interactions (DSIs) have drawn widespread attention due to their potential to affect therapeutic response and adverse event risk. ...
In health question answering (QA) system development, question topic identification is crucial to understand users' information needs and further faci...
BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-term remission rates of 60-90%. Its effects on diab...
Glass-free three-dimensional (3D) endoscopic provide excellent depth perception without decreasing light quality and fog formation. Herein we report o...
BACKGROUND: The aim of this study is to compare serum and seminal level of leptin in the context of infertility in men according to BMI. We also inves...
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation w...
The Risk of Malignancy Algorithm (ROMA) combines the diagnostic power of the CA125 and HE4 markers with menopausal status to predict the risk for de...
Black soybean teata is helpful to preventing obesity through enhancing energy expenditure and suppressing accumulation in mesenteric adipose tissue. T...
The Northern mole vole E. talpinus, despite its wide distribution, is characterized by a stable karyotype (2n = NF = 54) and slight morphological poly...
We present a new approach to population health, in which data-driven predictive models are learned for outcomes such as type 2 diabetes. Our approach ...
OBJECTIVES: The objective of this study is to determine (1) if there is a relationship between increasing body mass index (BMI) and postoperative comp...
In thought-based steering of robots, error potentials (ErrP) can appear when the action resulting from the brain-machine interface (BMI) classifier/co...
BACKGROUND: The adoption of robotic systems for gastric cancer surgery has been proven feasible and safe; however, a benefit over the laparoscopic app...
BACKGROUND: The proinflammatory state induced by obesity plays an important role in obesity-related metabolic complications.