Latest AI and machine learning research in primary care for healthcare professionals.
Systematic reviews and meta-analyses remain time-consuming and labor-intensive. We developed and validated a locally executed agentic artificial intelligence (AI) framework for deduplication, screening, and structured data extraction in systematic reviews, reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-Transparent Reporting of AI in Comprehensive Evi...
Cells are plastic, highly heterogeneous and change over time. High-content timelapse imaging promises to reveal dynamic cell behaviors, enabling more accurate identification of cell state and cell fate prediction for biological hypothesis generation and perturbation screens. To empower live-cell imaging based screening, we report the development of (1) a Shape, Appearance, Motion (SAM) "phenome"; ...
Cardiovascular risk assessment is a natural extension of lung cancer screening (LCS) because individuals eligible for low-dose computed tomography oft...
Dental caries management requires iterative clinical reasoning, yet treatment thresholds and intervention pathways vary considerably among dentists de...
BACKGROUND: Depression is underdiagnosed worldwide, and clinicians rely on interpreting patients' subjective speech. Qualitative analysis of patient l...
OBJECTIVE: Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflecting brain health, with potential implications for post-stroke ...
INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication, yet its molecular mechanisms remain incompletely understood. This ...
INTRODUCTION: Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem-sol...
Current lung cancer screening fails to identify many individuals at risk beyond heavy smokers, highlighting the need for additional predictive biomark...
BACKGROUND: Erectile dysfunction (ED) is a prevalent male health disorder and a recognized sentinel marker for cardiovascular disease. Current diagnos...
BACKGROUND: Hyperlipidemia is a major modifiable contributor to atherosclerotic cardiovascular disease (ASCVD). Despite statins as first-line therapy,...
BACKGROUND: Mental health disorders (MHDs) represent a growing global challenge and pose a significant risk to public health. Alongside developments i...
BACKGROUND: AI-driven clinical systems can improve diagnosis, prognosis, and resource allocation, but they may reproduce disparities encoded in histor...
OBJECTIVE: Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction requiring surgical intervention. Prolonged length of st...
BACKGROUND: Lung cancer screening offers an opportunity to enhance COPD detection among adults exposed to tobacco smoke, yet guidance on CT-based refe...
BACKGROUND: As the prevalence of diabetes rises, diabetic kidney disease (DKD) has become a leading cause of end-stage renal disease. Big data analysi...
The high-altitude and unique climatic conditions of Tibet can have a significant impact on the growth and development of local children and adolescent...
OBJECTIVES: Medication adherence remains a major challenge in the management of type 2 diabetes (T2D), especially in middle-income countries such as M...
UNLABELLED: AI-derived opportunistic screening using routine chest radiographs was evaluated in 6,028 adults and internally validated against DXA in a...