Latest AI and machine learning research in domestic violence for healthcare professionals.
Bacterial antibiotic resistance has intensified the need to identify new antimicrobial molecules from underexplored microbial systems. Wild mammalian gut microbiota may harbor antimicrobial peptide (AMP) candidates and candidate bacteriocins, but these systems remain poorly investigated as sources for antimicrobial discovery. Here, we used parallel metagenomic and culture-dependent approaches to e...
The Reporting and Data Systems (RADS) framework has become a key driver of structured reporting and standardization in radiology. This review summarizes the development and local adaptation of major RADS systems in China. Established RADS frameworks (such as those for breast, liver, and lung imaging) are already widely implemented in clinical practice,while more recently introduced frameworks (inc...
BACKGROUND/OBJECTIVES: This study aimed to develop an interpretable artificial intelligence (AI) screening system that replicates a specialist's evalu...
BACKGROUND: AI shows substantial potential in health care; however, the absence of standardized evaluation frameworks limits its safe and effective cl...
This paper examines the integration of artificial intelligence (AI) into cancer screening programmes, focusing on the associated equity challenges and...
Color vision deficiency (CVD) can negatively affect students' learning experiences and career choices; however, combined screening and educational cou...
Carpal tunnel syndrome (CTS) is usually assessed by clinical examination and electrodiagnostic testing, but these methods may not always be practical ...
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of liver disease that is growing in prevalence....
The virtual screening of make-on-demand small molecule libraries can prioritize drug candidates for rapid experimental validation to accelerate pre-cl...
Mental health issues, especially depressive symptoms, among young adults represent a public health challenge. Conventional psychological assessment to...
BackgroundPosttraumatic stress disorder (PTSD) is common yet frequently underdiagnosed, in part due to barriers to systematic screening and the relian...
BACKGROUND: Musculoskeletal conditions are a leading global cause of disability, yet the factors influencing long-term musculoskeletal health, particu...
Artificial intelligence (AI) is revolutionizing health care, particularly in radiology for which large retrospective electronic datasets are naturally...
BACKGROUND: Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterized by fluctuating clinical courses that affect appr...
BACKGROUND: Large language model (LLM)-based conversational agents are increasingly used in health care, yet their capacity to support genuine multitu...
The rapid expansion of compound libraries has significantly advanced drug discovery, especially through ultralarge library screenings that provide acc...
Chalcogenide perovskites have emerged as promising absorber materials for next-generation photovoltaic devices, yet their experimental realization rem...
BACKGROUND AND OBJECTIVE: Accurate risk stratification in localized prostate cancer is essential for guiding treatment decisions. Conventional Nationa...
BACKGROUND: Improving the infrastructure for drug overdose surveillance is critical for identifying new threats and responding to emerging trends. We ...
BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chr...