Latest AI and machine learning research in primary care for healthcare professionals.
The biliary system is crucial for liver function, regulating bile production, secretion, and transpo...
Breath sensors represent a frontier in noninvasive diagnostics, leveraging the detection of volatile...
. Risk stratification of hypertension plays a crucial role in the treatment decisions and medication...
In recent years, many approved drugs have been discovered using phenotypic screening, which elaborat...
Forest fires have significantly increased over the last decade due to shifts in rainfall patterns, w...
Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Despite ad...
BACKGROUND: Turner syndrome (TS) is one of the important causes of short stature in girls, but there...
: Diet plays an important role in preventing and managing the progression from prediabetes to type 2...
The rising global incidence of breast cancer and the persistent shortage of specialized radiologists...
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women wit...
Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between th...
Lung cancer screening implementation has led to expanded imaging of the chest in older, tobacco-expo...
BACKGROUND: Artificial intelligence (AI) has shown exponential growth and advancements, revolutioniz...
Artificial intelligence (AI) improves the accuracy of mammography screening, but prospective evidenc...
Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occur...
INTRODUCTION: Cellular Communication Network Factor 6 (CCN6) is an adipokine whose production underg...
BACKGROUND: Radiation dermatitis (RD) is a significant side effect of radiotherapy experienced by br...
BACKGROUND/AIMS: Early recognition of eyelid morphological abnormalities was crucial, as untreated c...
Chronic respiratory diseases affect people worldwide, but conventional diagnostic methods may not be...
Effect heterogeneity analyses using causal machine learning algorithms have gained popularity in rec...
BACKGROUND: Machine learning (ML) models are being increasingly employed to predict the risk of deve...