Latest AI and machine learning research in primary care for healthcare professionals.
The dynamic assessment of mental health has emerged as a hotspot for study and application due to the rise in social pressure. However, onventional methods rely mostly on static scales or single-modal data, failing to fully capture multifaceted emotional and behavioral features. This study suggests a deep learning model based on multi-modal data fusion to address this problem. By combining informa...
BACKGROUND: Elderly patients undergoing kidney replacement therapy (KRT) face high mortality rates. Traditional statistical models describe overall survival patterns but may fail to capture non-linear relationships among clinical factors. This study integrates classical survival analysis and machine learning (ML) to enhance individualized survival prediction in elderly patients treated with hemodi...
BACKGROUND: The aim of this study is to compare the performance of three large language models (ChatGPT 5, Microsoft Copilot, and Google Gemini 3), wi...
BACKGROUND: The peer review system faces increasing strain from rising manuscript volumes, reviewer fatigue, and well-documented interreviewer disagre...
OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients with Systemic Lupus Erythematosus (SLE). Although S...
Frailty is associated with high risk of mortality. Our study evaluated frailty as a predictor of outcomes in older adults with acute ischemic stroke t...
Neurodegenerative diseases are biologically heterogeneous disorders characterized by progressive neuronal dysfunction, overlapping molecular pathologi...
This systematic review evaluated traditional machine learning (TML) and deep learning (DL) approaches for obesity prediction in longitudinal studies a...
BACKGROUND: Pulmonary fibrosis (PF) is a progressive, fatal interstitial lung disease with limited curative therapeutic options. Yin-Huang-Qing-Fei (Y...
Lung cancer is the leading cause of cancer death globally, and low-dose computed tomography (LDCT) screening reduces lung cancer mortality. The NHS En...
OBJECTIVE: To systematically map co-occurrence patterns between systemic medical conditions and oral diseases in the biomedical literature. MATERIALS ...
General catalysts are usually identified through broad experimental screening to find structures that perform reliably across many substrates and reac...
The human microbiome is inherently structured by phylogeny, yet most predictive models treat microbial taxa as independent features, thereby underusin...
PURPOSE OF REVIEW: Early-onset type 2 diabetes (EOT2D), defined as a diabetes diagnosis before 40 years of age, is rising globally and associated with...
OBJECTIVE: This cross-sectional study aimed to explore the application potential of artificial intelligence (AI) in screening and diagnosing cervical ...
INTRODUCTION: Mental health disorders are leading causes of morbidity worldwide and often co-occur with substance use and other addictive behaviors. H...
BACKGROUND: Ovarian cancer (OC) is a highly fatal gynecologic malignancy with complex management challenges and limited long-term survival for advance...
As an emerging biomarker of lung cancer, developing a highly sensitive method for the combined detection of dual lncRNAs holds significant value for t...
BACKGROUND: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent fractures. Emerging biologics demons...
BACKGROUND: Physical frailty, characterized by heightened sensitivity to stressors and decreased physiological reserves, is an established risk factor...