Artificial Intelligence Medical Compendium

Conventional representation learning methods have achieved remarkable performance in traffic flow forecasting when data is sufficient, while they struggle in scenarios with limited data. Existing works typically utilize transfer learning as a promisi... read more 

Event causality identification (ECI) aims to determine whether two events have causality, which is highly dependent on the context. Therefore, it is crucial to effectively encode the contextual information of events within lengthy documents for achie... read more 

Effective decision-making on networks often relies on learning from graph-structured data, where Graph Neural Networks (GNNs) play a central role. However, real-world applications differ substantially in both their tasks and graph characteristics, re... read more 

INTRODUCTION: Preeclampsia (PE) is a pregnancy-specific disorder associated with hypertension and multi-organ dysfunction, posing serious risks to maternal and fetal health. Early detection remains challenging, highlighting the urgent need to identif... read more 

Glioblastoma (GBM), a highly vascularized and aggressive primary brain tumor, presents unresolved questions regarding the functional significance of angiogenesis-related genes (ARGs) in disease progression. To systematically investigate this, we empl... read more 

Sleep stage flagging is critical for diagnosing conditions like insomnia, sleep apnea, and narcolepsy. Traditional methods rely on time-intensive manual scoring by experts, limiting scalability and accessibility, especially in resource-limited settin... read more 

CONTEXT: Public health organizations are increasingly recognizing the value and potential of data science. However, a gap remains in understanding how data science is being applied in public health. OBJECTIVE: This article provides a comprehensive ov... read more 

Mass spectrometry (MS), particularly mass spectrometry imaging (MSI), is an important analytical technique that facilitates the detection and spatial visualization of biomolecules, and more specifically cancer biomarkers, in complex biological tissue... read more 

UNLABELLED: Liver fibrosis, a major histopathological indicator of chronic liver injury, is also a key feature of metabolic dysfunction-associated steatohepatitis. Its quantitative assessment in preclinical toxicology is frequently inconsistent and s... read more 

BACKGROUND: The quality assessment of personalized exercise prescriptions is currently hampered by the subjectivity and inefficiency of traditional rating scales. Artificial intelligence (AI) presents a transformative opportunity for objective, scala... read more