Latest AI and machine learning research in primary care for healthcare professionals.
Diabetic retinopathy (DR) is one of the most common complications of diabetes mellitus (DM) with a prevalence that varies from 10% to 61% in different countries. From healthcare to the precise prevention, diagnosis, and management of diseases, Artificial Intelligence (AI) is progressing rapidly in interdisciplinary fields, including ophthalmology. We aimed to explore the efficacy of artificial int...
The quick and accurate diagnosis of Alzheimer's disease (AD) and Frontotemporal Dementia (FTD) is a significant and unresolved challenge in clinical neurology, with early identification being crucial for prompt intervention and disease management. This study presents AutoSSM-ICA-EEG, an automated and interpretable framework that incorporates Fast Independent Component Analysis (FastICA) for artifa...
With the expansion of high-speed road mileage and the aging of road networks, maintenance workloads have increased dramatically. Accurately forecastin...
Heavy metals, including lead (Pb), cadmium (Cd), arsenic (As), and mercury (Hg), are pervasive environmental toxicants increasingly recognized as nont...
INTRODUCTION: Adolescent idiopathic scoliosis (AIS) screening remains controversial, particularly regarding its effectiveness and cost-effectiveness i...
BACKGROUND: Hypertension is a leading risk factor for cardiovascular, cerebrovascular, and renal diseases, significantly worsening prognosis and quali...
BACKGROUND AND OBJECTIVES: Health economic modelling integrates evidence from multiple sources and relies on transparency to support reimbursement dec...
IMPORTANCE: Cognitive impairment (CI) is often underdetected in primary care due to time and resource constraints. Passive analysis of clinical dialog...
BACKGROUND: Automated systematic literature review (SLR) may reduce the workload and errors associated with manual review, enabling faster, up-to-date...
OBJECTIVES: To summarize and evaluate the core components, functional modules, and developmental challenges of intelligent oral examination robots, an...
INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significant adverse health outcomes and increased healthcare...
INTRODUCTION: Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality worldwide. Public health responses to CVD require comp...
Ischemic stroke puts great health burden in public. However, the diagnosis is based on head CT or MRI scanning. We aim to develop classifier models to...
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed nonalcoholic fatty liver disease (NAFLD), is the most prevalent ch...
Chronic digestive system diseases (CDSD) are common in older adults, and depressive symptoms are associated with poorer prognosis and quality of life....
Falls remain a leading cause of injury-related morbidity and mortality among adults aged 65 and older, and these human and economic costs keep rising ...
Cardiovascular diseases are among the leading causes of global mortality and morbidity, underscoring the need for accurate and explainable predictive ...
BACKGROUND: Preterm birth, defined as delivery before 37 weeks of gestation, is a major cause of neonatal morbidity and mortality and places a substan...
OBJECTIVES: This study investigated the diagnostic accuracy of AI-assisted diabetic retinopathy screening in primary care, using ophthalmologist-led s...
BACKGROUND: Burnout affects nearly half of physicians in the United States, with emergency physicians (EPs) at particularly high risk. Documentation b...