Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Early identification of high-risk individuals for weight problems in children and adoles...
PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cell...
This narrative review examines the integration of Artificial Intelligence (AI) tools into forensic p...
OBJECTIVES: Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. T...
Artificial intelligence (AI) and psychedelic medicines are among the most high-profile evolving disr...
Repurposing utilizes existing drugs with known safety profiles and discovers new uses by combining e...
PURPOSE: With the increasing use of artificial intelligence (AI) in dentistry, it is feasible to sel...
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reser...
Accurate non-invasive monitoring of blood glucose (BG) is a challenging issue in the therapy of diab...
Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) pat...
BACKGROUND: Identification of individuals with prediabetes who are at high risk of developing diabet...
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage ...
The colloidal gold nanoparticle (AuNP)-based colorimetric lateral flow assay (LFA) is one of the mos...
BACKGROUND: Catheter-related bladder discomfort (CRBD) commonly occurs in patients who have indwelli...
Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mo...
BACKGROUND AND AIMS: Cecal intubation in colonoscopy relies on self-reporting. We developed an artif...
Diabetes mellitus (DM) presents a critical global health challenge, characterized by persistent hype...
BACKGROUND: The existing predictive models for metabolic-associated fatty liver disease (MAFLD) poss...
In this study, we redefine the diagnostic landscape of diabetic ulcers (DUs), a major diabetes compl...
INTRODUCTION: Literature suggests that patients from deprived backgrounds are less likely to adhere ...
In adult patients with ureteropelvic junction obstruction (UPJO), little data exist on predicting p...