Artificial Intelligence Medical Compendium

The fused lasso problem (FLP) arise from extensive applications such as biomedical engineering, signal processing and so on. However, the existing numerical algorithms are both time- and memory-inefficient due to its non-smoothness and non-separabili... read more 

BACKGROUND: Magnetic Resonance Fingerprinting (MRF) is a technique that can provide rapid quantification of multiple tissue properties. Deep learning may potentially contribute to an accelerated acquisition of MRF. PURPOSE: (1) To develop a deep lear... read more 

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INTRODUCTION: Pediatric surgeons face substantial administrative workload. Large language models (LLMs) may streamline documentation, family communication, rapid reference, and education, but raise concerns about accuracy, bias, and privacy. This rev... read more 

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into surgical practice, offering enhanced decision-making, precision, and workflow efficiency. In pediatric surgery, the convergence of AI and robotic-assisted platforms represents a... read more 

Hospital-acquired pneumonia (HAP) remains the most frequent and lethal hospital acquired infection, driving ICU mortality, prolonged length of stay, and resource use. Ventilator-associated pneumonia (VAP), the archetypal form of HAP, has long defined... read more 

To achieve precise pesticide residue detection and metabolic analysis, we innovatively proposed a machine learning-assisted multi-channel nanozyme sensor array. Five Cu-carboxylate nanozymes with outstanding laccase-like and peroxidase-like activitie... read more 

The accumulation of multiple antibiotics in the environment poses severe threats to ecosystems and human health, demanding rapid, sensitive, and portable detection methods. This study introduces a lanthanide-gold nanocluster (AuNCs)-based microfluidi... read more 

BACKGROUND: Early prediction of atrial fibrillation (AF) is crucial for reducing adverse outcomes. While artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise in predicting AF, most approaches require digital ECG signals,... read more 

Biosensors have become essential analytical tools that integrate biological recognition elements with physical transducers to detect specific analytes with remarkable sensitivity. This review delves into the applications of biosensors in healthcare, ... read more