Latest AI and machine learning research in primary care for healthcare professionals.
The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedici...
As the prevalence of obesity climbs, dosing of antimicrobials, particularly cephalosporins, is beco...
An etiologically based classification of diabetes is needed to account for the heterogeneity of type...
Coronavirus disease 2019 (COVID-19) emerged in 2019 and disseminated around the world rapidly. Compu...
Despite the evidence of improved patients' outcome, fractional flow reserve (FFR) is underused in cu...
Considering current insulin action profiles and the nature of glycemic responses to insulin, there ...
Machine learning algorithms have recently shown their precision and potential in many different use ...
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are also inf...
Machine learning is a well-known approach for virtual screening. Recently, deep learning, a machine ...
Rubeosis faciei diabeticorum, caused by microangiopathy and characterized by a chronic facial erythe...
Early and precise identification of individuals with prediabetes and type 2 diabetes (T2D) at risk f...
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP) estimation ...
Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...
Depression is a widespread disease with a high economic burden and a complex pathophysiology disease...
Background Real-world healthcare data are an important resource for epidemiologic research. However,...
Parental practices can affect children's weight and BMI and may even be related to a high prevalence...
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for dete...
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world'...
Systemic corticosteroids are considered to be the standard treatment for allergic bronchopulmonary a...
Background The performance of a deep learning algorithm for lung cancer detection on chest radiograp...
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associ...