Latest AI and machine learning research in cultural competence for healthcare professionals.
With the widespread application of artificial intelligence in recruitment, algorithmic bias issues have become increasingly prominent, seriously threatening social fairness and job seekers' rights. Addressing the limitations of existing bias detection methods in detection granularity, fairness assessment, and interpretability, this study proposes a deep learning-based algorithmic bias detection fr...
Antimicrobial resistance (AMR) and antibiotic resistance (ABR) represent one of the most pressing global health threats, driven by the complex interplay between human, animal, and environmental factors. The One Health resistome framework recognises that resistance genes circulate continuously across clinical, agricultural, and environmental compartments through horizontal gene transfer, co-selecti...
A deep understanding of chromatin interactions is crucial for elucidating the mechanisms of gene expression regulation. Although various computational...
BACKGROUND: Accurate prediction of the temporal dynamics of biological systems is crucial for informing timely and effective interventions, e.g., in e...
MOTIVATION: Medical text classification plays a critical role in clinical decision support, automated diagnosis, and biomedical research. However, dee...
Mental health challenges add immensely to the global burden of disease, yet traditional approaches to psychological assessment and care remain resourc...
Lifelong premature ejaculation (LPE) involves altered responses to sexual cues. Neuroimaging has identified attention-related neural abnormalities in ...
OBJECTIVES: To evaluate whether a retrieval-augmented generation (RAG) framework can enhance citation precision and improve the clinical reliability o...
INTRODUCTION: Spontaneous speech is commonly disrupted in persons with Alzheimer's disease (AD) and/or Alzheimer's clinical syndrome (ACS). Importantl...
Endometrial cancer incidence and mortality are rising globally, disproportionately affecting health systems facing diagnostic, therapeutic, and surviv...
Artificial intelligence (AI) is increasingly used in facial aesthetic surgery. This specialty is well-positioned to benefit from its ability to analyz...
BACKGROUND: Large language models (LLMs) are poised to transform mental health care, offering advanced capabilities in diagnosis, prognosis, and decis...
The integration of artificial intelligence (AI) into second and foreign language (L2) education has increased significantly; however, its emotional im...
BACKGROUND: Lifelong learning (LLL) is increasingly important for health care professionals, particularly within the field of orthodontics, driven by ...
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: Reperfusion therapy, including thrombolysis and thrombectomy, is crucial for ischaemic stroke treatment. However, patient outcomes often r...
​Soil microbiota is central to agroecosystem sustainability, influencing fertility, plant health, and resilience. Agricultural practices shape these c...
This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid e...
Identifying cancer driver genes is crucial in precision oncology. Most existing methods rely on a single interaction network to capture gene relations...