Latest AI and machine learning research in public health & policy for healthcare professionals.
Artificial olfactory systems represent biomimetic platforms that emulate biological olfaction for volatile compound detection and discrimination. Biological olfaction achieves efficient perception through the specific binding of volatile molecules to olfactory receptors (OR), odorant-binding proteins (OBPs), and associated chemosensory proteins, followed by neural encoding, providing a theoretical...
IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving lower-extremity and head injuries. Despite extensive research growth, a comprehensive long-term evaluation of trends, impact, and thematic evolution in soccer injury literature has been lacking. OBJECTIVE: To systematically map the global landscape of soccer injury research from 1904 to 2025, focusing ...
BACKGROUND: Early prediction of depressive and anxiety disorders is challenging due to substantial heterogeneity in risk pathways. Conventional machin...
Pancreatic cystic lesions are increasingly detected due to the widespread use of high-resolution cross-sectional imaging, particularly MRI and CT. The...
BACKGROUND: Machine learning (ML) and deep learning (DL) show promise for fall risk prediction, but prior reviews focused mainly on real-time fall det...
BACKGROUND: Youth experiencing homelessness face heightened vulnerability to HIV infection and substance use due to complex structural, psychosocial, ...
BACKGROUND: Artificial intelligence and machine learning (ML) are transforming nutritional epidemiology by revealing dietary network structures invisi...
OBJECTIVE: Inadequate bowel preparation impairs the accuracy of colonoscopy and increases the burden on patients and healthcare systems. Consequently,...
Mosquitoes are important vectors of infectious diseases, and accurate species identification is essential for effective surveillance and control. Trad...
This study investigated temporal changes in sleep quality among Chinese boarding high school students across four phases (2019:pre-pandemic baseline, ...
BACKGROUND: Global flagship initiatives increasingly advocate for proactive health maintenance to alleviate the growing burden on reactive, disease-fo...
BACKGROUND: Bullying victimization among Chinese adolescents manifests in distinct types (verbal, physical, relational, cyberbullying) with unique adv...
BACKGROUND: Extensive population testing played a crucial role in mitigating the COVID-19 pandemic. However, scaling up testing capacity requires a co...
PURPOSE OF REVIEW: To synthesize recent literature highlighting how and why adolescent boys and young men may face unique media-related psychosocial h...
OBJECTIVES: To develop and externally validate an interpretable fusion model combining multi-time-point CT radiomics with clinical-semantic features t...
BACKGROUND: Artificial intelligence and digital health technologies may strengthen Infection Prevention and Control through enhanced surveillance, dec...
Antioxidants play a crucial role in human health, yet their simultaneous identification and quantification remain a significant challenge due to their...
Influenza A remains a major cause of respiratory mortality worldwide, motivating accurate forecasting to support timely preparedness and resource allo...
OBJECTIVES: This study aims to develop and evaluate a trustworthy and ethical-by-design machine learning (ML) framework for predicting 5-year cancer s...
Artificial intelligence (A.I.) technologies are increasingly deployed across clinical care, yet reimbursement remains a major barrier to sustainable a...