Latest AI and machine learning research in primary care for healthcare professionals.
Dementia, particularly Alzheimer's disease (AD), is a growing concern in aging populations, with mild cognitive impairment (MCI) frequently progressing to AD. While existing studies often rely on comprehensive neuropsychological evaluations and assessments by neurologists and neuroradiologists, these approaches are not always feasible in routine or rural clinical practice. Current diagnostic metho...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with poor survival rates due to late-stage detection. Current low-dose computed tomography screening faces barriers including high costs and false-positive rates reaching 24%, while artificial intelligence offers opportunities to enhance early detection through longitudinal clinical data analysis. This study developed a M...
Early diagnosis of postmenopausal osteoporosis provides an opportunity to detect and prevent fractures. This study uses machine learning (ML) techniqu...
Pediatric visual health is not only inextricably linked to an individual's lifelong cognitive development and quality of life, but also constitutes a ...
Type 1 diabetes mellitus (T1DM) patients require lifelong insulin therapy; however, iatrogenic hypoglycemia remains a major clinical challenge, with h...
BACKGROUND: Integrated Chinese-Western medicine (ICWM) is a distinctive medical system that plays an important role in healthcare and has received inc...
BACKGROUND AND PURPOSE: Type 1 diabetes mellitus (T1DM) usually begins early in life, and its development impacts brain functioning and cognitive proc...
OBJECTIVE: Acute otitis media is the most common bacterial infection among children and a significant global health burden. Despite its high incidence...
Hypercholesterolemia is a pivotal risk factor for cardiovascular diseases, and its effective management is critical to reducing cardiovascular event i...
Artificial intelligence (AI)-based screening tools show promise for early identification of chronic liver disease (CLD), yet their effectiveness in re...
BACKGROUND: Systematic reviews are essential for evidence-based research, but they often require a great deal of time and effort. Although title and a...
BACKGROUND: Digital phenotyping - the moment-by-moment quantification of individual-level human behavior using data from personal digital devices - of...
Metabolic disorders, including obesity, type 2 diabetes, metabolic syndrome, and fatty liver disease, reflect multifactorial interactions among diet, ...
BACKGROUND: Hemoglobin A1C (HbA1C) is the gold standard for assessing long-term glycemic control in people with diabetes. Increasing use of continuous...
Coronary artery disease assessment has long focused on stenosis severity, yet luminal narrowing alone fails to capture ischemic burden, plaque vulnera...
BACKGROUND: Childhood obesity constitutes a complex medical and psychosocial challenge that requires both nutritional knowledge and sensitive, relatio...
BACKGROUND: Obstructive sleep apnea (OSA) affects nearly one billion people globally and poses a substantial public health threat. Effective and acces...
Healthy Life Expectancy (HLE) considers the years an individual has lived free of disease. Minimising time a population spends in ill-health will dire...
BACKGROUND: Ambulatory blood pressure monitoring (ABPM) plays an irreplaceable role in the diagnosis and management of hypertension. However, more tha...