Latest AI and machine learning research in primary care for healthcare professionals.
Rhabdomyolysis is a potentially fatal disease caused by trauma, infections, and toxins. Rhabdomyoly...
OBJECTIVE: To describe the relationship between obesity and proinflammatory variables in the student...
The electronic stethoscope combined with artificial intelligence (AI) technology has realized the di...
STUDY OBJECTIVES: Nocturnal blood pressure (BP) profile shows characteristic abnormalities in OSA, n...
IMPORTANCE: Screening for diabetic retinopathy is recommended for children with type 1 diabetes (T1D...
Specific predictive models for diabetes polyneuropathy based on screening methods, for example Nerve...
BACKGROUND: Metabolic syndrome, obesity and type 2 diabetes are metabolic disorders characterized by...
PURPOSE OF REVIEW: Diabetic retinopathy is the most common specific complication of diabetes mellitu...
BACKGROUND: We examined the potential change in cancer detection when using an artificial intelligen...
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes ...
Artificial intelligence (AI) has the potential to increase quality and efficiency of breast cancer s...
Recent advances in artificial intelligence (AI) are creating new opportunities for personalizing tec...
Automated Screening of COVID-19 from chest CT is of emergency and importance during the outbreak of ...
The management of indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive...
BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at...
OBJECTIVE: We sought to predict if patients with type 2 diabetes mellitus (DM2) would develop 10 sel...
Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditi...
Chest radiographs are primarily employed for the screening of cardio, thoracic and pulmonary conditi...
Clinical text classification is an indispensable and extensively studied problem in medical text pro...
This paper proposes the fusion of data from unobtrusive sensing solutions for the recognition and cl...
Studies have shown that mental health and comorbidities such as dementia, diabetes and cardiovascula...