Artificial Intelligence Medical Compendium

Lung cancer remains one of the most lethal malignancies worldwide, and the early and accurate diagnostic is critical. Traditional diagnostic techniques such as imaging and histopathology often suffer from limitations including high cost, radiation ex... read more 

The emergence of social media and online memes has led to an increasing demand for automated systems that can analyse and classify multimodal data, particularly in online forums. Memes blend text and graphics to express complicated ideas, sometimes c... read more 

Shape incompleteness is a common issue in point clouds acquired by depth sensors. Point cloud completion aims to restore partial point clouds to their complete form. However, most existing point cloud completion methods rely on complete point clouds ... read more 

Multimodal Named Entity Recognition (MNER) integrates complementary information from both text and images to identify named entities within text. However, existing methods face three key issues: imbalanced handling of modality noise, the cascading ef... read more 

Contrastive learning has gained significant attention in short text clustering, yet it has an inherent drawback of mistakenly identifying samples from the same category as negatives and separating them in the feature space (i.e., the false negative s... read more 

The identification of the elemental composition of coins is very valuable for archaeological research. This study examined the elemental composition of Brazilian coins minted from 1888 to 2025, aiming to classify them by minting period and monetary s... read more 

Surface-Enhanced Raman Scattering (SERS) has emerged as a promising tool for rapid pesticide detection. However, its accuracy is often hindered by spectral interference and signal variability. To address this, we propose ResFusionNet-TSMT, a novel de... read more 

Artificial vision synaptic devices, characterized by low power consumption and high parallelism efficiency, hold significant promise for artificial visual systems. However, nearly all reported low-power consumption synaptic devices lack the capabilit... read more 

Eggs, a key dietary staple globally, are valued for their high nutritional content. However, the safety of eggshells is often compromised by microbial contamination. In this study, we developed a reliable, noninvasive method for detecting the aerobic... read more 

BACKGROUND: Sepsis in immunosuppressed patients is associated with significantly higher mortality rates, yet predictive models tailored to this high-risk population remain limited. This study aims to develop an interpretable machine learning model to... read more