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...
BACKGROUND: Systematic reviews often require substantial resources, partially due to the large numbe...
BACKGROUND: Pneumoperitoneum to maintain a constant gas flow to assist various surgeries is known to...
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 ...
OBJECTIVE: To investigate the general population's view on the use of artificial intelligence (AI) f...
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...
Rubeosis faciei diabeticorum, caused by microangiopathy and characterized by a chronic facial erythe...
Machine learning is a well-known approach for virtual screening. Recently, deep learning, a machine ...
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 ...
Molecular representations encoding molecular structure information play critical roles in molecular ...
OBJECTIVE: To explore the application of deep learning in patients with primary osteoporosis, and to...
Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...
OBJECTIVES: To assess the feasibility of a modified workflow that uses machine learning and crowdsou...
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,...