Artificial Intelligence Medical Compendium

INTRODUCTION: While the benefits of carotid surgery for symptomatic carotid artery disease are well-established, the management of asymptomatic carotid lesions remains controversial, with wide variation in clinical practice. Recent studies suggest th... read more 

Chronic Kidney Disease (CKD) is a highly prevalent non-communicable disorder lacking a gold standard method for diagnosis. Early-stage CKD remains undiagnosed and untreated leading to the disease progression. The study aimed to discriminate urine sam... read more 

BACKGROUND: Structural brain deficits associated with generalized anxiety disorder (GAD), panic disorder (PD), and obsessive-compulsive disorder (OCD) have been documented, but their integration within a unified framework remains unexplored. This stu... read more 

BACKGROUND: Depression is a major public health concern, with a rising prevalence among adolescents and young adults. However, the neural mechanisms underlying depressive symptoms remain poorly understood. This study aimed to identify patterns of alt... read more 

RATIONALE & OBJECTIVE: Low muscle mass is a risk factor for chronic kidney disease. In this study, we examined the relationship between muscle mass and mortality, as well as end-stage kidney disease (ESKD), in patients with autosomal-dominant polycys... read more 

BACKGROUND: This study investigates the quality, accuracy, and readability of ChatGPT's responses to common patient inquiries regarding hallux rigidus. METHODS: Twenty-five patient questions were directed to ChatGPT and analyzed. The DISCERN criteria... read more 

BACKGROUND AND SIGNIFICANCE: Clinical decision support systems (CDSS) can improve evidence-based oncology care, but many rely on opaque AI models that limit transparency and reproducibility. Rule-based approaches provide interpretability but often la... read more 

Previous studies on memristive associative neural network circuits have not sufficiently incorporated the effects of spike-rate-dependent plasticity (SRDP) together with long-term potentiation (LTP) and long-term depression (LTD) mechanisms. To addre... read more 

Spiking Neural Networks (SNNs), with their spike-driven mechanism and low power consumption, attract extensive research attention in 2D visual tasks. For computationally intensive 3D point cloud tasks, SNNs exhibit greater potential in addressing the... read more 

Incomplete Multi-view Clustering (IMVC) aims to uncover the underlying shared clustering structure across different views in the presence of missing information from the views. While numerous view recovery strategies have been proposed to tackle this... read more