Latest AI and machine learning research in primary care for healthcare professionals.
The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic dis...
Statistical models to predict incident diabetes are often based on limited variables. Here we pursue...
Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering ...
A 54-year-old man diagnosed with type 2 diabetes and hyperthyroidism was prescribed propylthiouracil...
Parkinson's disease (PD) is a major progressive neurodegenerative disorder. Accurate diagnosis of PD...
OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Melli...
Growing concerns exist about violent crimes perpetrated by U.S. military personnel. Although interve...
In order to understand the molecular mechanism underlying any disease, knowledge about the interacti...
BACKGROUND: Chronic inflammation is a hallmark of type-2 diabetes (T2D) and asthma. Monocyte chemoat...
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and he...
AIMS: To assess diabetic retinopathy (DR) prevalence between elderly onset and younger onset diabete...
OBJECT: Our purpose was to develop a new machine-learning approach (a virtual health check-up) towar...
Cancer is one of the main causes of death in Western countries, and a major issue for human health. ...
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily qu...
Rapid overlay of chemical structures (ROCS) is a standard tool for the calculation of 3D shape and c...
PURPOSE: The purpose of this study was to evaluate the advantages of robot-assisted laparoscopic sur...
BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity and associat...
BACKGROUND: (SN) has many nutritional benefits and it is commonly used to ameliorate different huma...
BACKGROUND: To find out whether children with type 1 diabetes accept a humanoid robot as an assistan...
Sexual violence victimization is a significant problem among female U.S. military personnel. Prevent...
Patients' narratives about traumatic experiences and symptoms are useful in clinical screening and d...