Artificial Intelligence Medical Compendium

Advances in computational biology have significantly impacted phylogenetic analysis, which is essential for studying evolutionary relationships among species. Phylogenetic inference has traditionally relied on techniques based on statistical models o... read more 

The high heterogeneity of Hepatocellular Carcinoma (HCC) severely hampers clinical outcomes. Current classifications based on gene expression profiles may not adequately capture patients' overall biological mechanisms and phenotypic changes. Therefor... read more 

In aquatic ecosystems, the triadic relationship among phytoplankton, zooplankton, and their piscine predators constitutes a delicately balanced ecological continuum where nutrient cycling, toxin transfer, and spatial refugia collectively dictate popu... read more 

INTRODUCTION: Colorectal cancer (CRC) poses a significant global health burden, demanding early and accurate detection strategies. However, Machine Learning (ML) models are increasingly being applied for CRC prediction; yet their performance requires... read more 

Ultrasound imaging modality, which operates by transmitting and receiving short ultrasound pulses, offers a promising approach for real-time, high-resolution diagnostic imaging at relatively low cost. However, the conventional short-pulse approach is... read more 

Accurate detection in UAV scenarios is challenging due to the small size of objects. This is attributed to two non-negligible factors: (1) small objects lack sufficient visual cues and often suffer information loss during feature extraction; (2) the ... read more 

Early detection of neuroendocrine tumors (NETs) is crucial for early and effective intervention, thus reducing the likelihood of tumor progression and metastasis. These tumors have been thoroughly investigated and associated with an excessive secreti... read more 

Accurate brain tumor segmentation plays a pivotal role in clinical decision-making, providing essential support for disease screening, treatment planning, and surgical navigation. Traditional manual segmentation methods are time-consuming and labor-i... read more 

Neuroscience remains to be challenged by the decoding of the neural processes underlying biological motion perception. To address this, we propose BioMotion-SNN, a spiking neural network (SNN) framework inspired by the MT-MST pathways, designed to mo... read more 

Recent debates have focused on the impact of analytical imprecision in high-sensitivity cardiac troponin (hs-cTnI and hs-cTnT) assays on the diagnosis of non-ST-elevation myocardial infarction (NSTEMI), based on the absolute delta thresholds for the ... read more