Artificial Intelligence Medical Compendium

Cervical cancer screening remains pivotal for early detection and effective disease management, yet conventional cytopathological methods relying on stained cell-smear analysis face critical limitations in diagnostic throughput and sensitivity. We pr... read more 

BACKGROUND: Large Language Models (LLMs) have shown remarkable potential in medical question answering (QA), yet their deployment in clinical settings remains limited by hallucinations, inconsistent reasoning, and difficulties in handling complex bio... read more 

Entity Set Expansion (ESE) is a promising knowledge-acquisition task that aims to retrieve the entities sharing the same semantic class with a small seed entity set. Most existing methods employ a bootstrap framework to iteratively expand the seed en... read more 

Knowledge distillation (KD) is a proven technique for enhancing the performance of lightweight models in intelligent edge applications for remote sensing. However, existing KD approaches often fall short in fully leveraging the statistical informatio... read more 

Volatility forecasting plays a critical role in risk management and financial decision-making by facilitating the prediction of market fluctuations. However, the inherent complexity and irregular variations in volatility time series data present sign... read more 

MR imaging of the triangular fibrocartilage complex (TFCC) is technically demanding and highly dependent on the use of optimal tools, including the scanner itself, receiver coils, and imaging sequences. The advent of new techniques incorporating deep... read more 

BACKGROUND: Children with conduct problems are at elevated risk for negative psychosocial, educational, and behavioral outcomes. Identifying at-risk children can aid in providing timely intervention and prevention, ultimately improving their long-ter... read more 

BACKGROUND: Bronchial asthma is a complex, highly heterogeneous disease involving multiple pathological mechanisms and inflammatory pathways. Traditional pharmacotherapies, including glucocorticoids, leukotriene modifiers, β2-adrenergic agonists, and... read more 

Social spending refers to public or private funds aimed at helping vulnerable groups. Evidence-based decision-making supports social spending by applying existing evidence to inform funding and involves integrating relevant information from various s... read more 

BACKGROUND: Depressive symptoms and multiple chronic diseases (MCDs) significantly contribute to the global disease burden among middle-aged and older adults, while few studies have considered the long-term dynamics of depressive symptoms or employed... read more