Artificial Intelligence Medical Compendium

Selective serotonin reuptake inhibitors (SSRIs) are characterized by delayed therapeutic onset largely due to their reliance on the desensitization of 5-HT1A autoreceptors (5-HT1ARautos) within the dorsal raphe nucleus (DRN). It has been shown that d... read more 

OBJECTIVES: To present a publicly available deep learning-based torso segmentation model that provides comprehensive voxel-wise coverage, including delineations that extend to the boundaries of anatomical compartments. MATERIALS AND METHODS: We extra... read more 

Hepatoblastoma (HB) is the most common primary malignant liver tumor in children. Although the incidence is low, it is a serious threat to children's health. Traditional methods have limitations in prognosis prediction. In the era of precision medici... read more 

This review presents the recent advances and innovations in graphene-based biosensors for point-of-care diagnostics. Graphene provides high electron mobility. It has a large surface area and strong biocompatibility. These features support sensitive a... read more 

Our study integrates network pharmacology with multiple bioinformatics approaches to systematically construct a framework for elucidating the therapeutic mechanisms of six food and medicine homology plants (FMHPs) in the treatment of coronary heart d... read more 

Graph Neural Networks (GNNs) have demonstrated strong performance in graph representation learning across various real-world applications. However, they often produce biased predictions caused by sensitive attributes, such as religion or gender, an i... read more 

BACKGROUND: Accurate interpretation of thyroid function tests (TFTs) requires reliable reference intervals (RIs). Indirect methods based on retrospective laboratory data are increasingly used, but current strategies face major limitations, including ... read more 

Infrared small target detection (ISTD) plays a vital role in numerous practical applications. In pursuit of determining the performance boundaries, researchers employ large and expensive manual-labeling data for representation learning. Nevertheless,... read more 

BACKGROUND: The adoption of artificial intelligence (AI) in healthcare has the potential to improve diagnostic accuracy, streamline processes, and address resource shortages, particularly in low- and middle-income countries (LMICs) like Nigeria. Howe... read more 

BACKGROUND: Risk factors for sentinel lymph node (SLN) metastasis in melanoma have been studied. However, there remains a lack of widely applicable models with considerable predictive potential for clinical use. OBJECTIVE: To developed a well-perform... read more