Artificial Intelligence Medical Compendium

The rapid development of deep learning provides an excellent solution for end-to-end multi-modal image fusion. However, existing methods mainly focus on the spatial domain and fail to fully utilize valuable information in the frequency domain. Moreov... read more 

The use of heterogeneous networks has gained significant traction for modeling and analyzing complex systems across diverse domains because of their ability to represent various types of entities and relationships. However, these networks face consid... read more 

Rock glaciers, periglacial landforms with tongue- or lobe-shaped streams of slowly deforming frozen debris, play an important role in periglacial mountainous regions. The understanding of rock glaciers and their geoecological role at regional scales ... read more 

Early detection of anomalies in medical images such as brain magnetic resonance imaging (MRI) is highly relevant for diagnosis and treatment of many medical conditions. Supervised machine learning methods are limited to a small number of pathologies ... read more 

Coral reef ecosystems are increasingly threatened by climate change and human activities, and conservation organizations worldwide require efficient, cost-effective tools to document habitat conditions, assess artificial reef growth, and monitor cora... read more 

Existing traffic conflict models face challenges in handling minority class samples and capturing dynamic interactions in complex traffic scenarios. These limitations hinder model generalization and real-world applicability. This study employs an enh... read more 

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INTRODUCTION: Low-density lipoprotein cholesterol (LDL-C) is a significant cardiovascular risk factor, as direct measurement is expensive and often unavailable in most clinical laboratories. The Friedewald formula (FD), despite its widespread use sin... read more 

Driven by the Food and Drug Administration's Quality-by-Design initiative and the advancements of Industry 4.0, the pharmaceutical industry is transitioning from traditional batch manufacturing to advanced manufacturing. This transition requires resh... read more 

OBJECTIVE: We aimed to explore how influential factors, such as chronic diseases, disability and social support, affect depressive symptoms in older adults, and to analyze the main influential factors on depression in different age groups. METHODS: P... read more