Artificial Intelligence Medical Compendium

Underwater Image Enhancement (UIE) is critical for marine applications but is severely hampered by complex optical degradation. Spiking Neural Networks (SNNs) present an energy-efficient alternative to conventional Artificial Neural Networks (ANNs) f... read more 

In today's data-driven landscape, intelligent systems must continuously learn from evolving data streams while preserving previously acquired knowledge. Continual learning (CL) has emerged as a key paradigm to meet this need, offering the potential t... read more 

OBJECTIVES: In the domain of medical image segmentation, models utilizing convolutional neural network (CNN) and Transformer have been t extensively studied and widely implemented. However, the self-attention mechanism in Transformer is incapable of ... read more 

PURPOSE: Despite the rapid development of artificial intelligence (AI)-powered automated segmentation tools for PET/CT imaging, their prognostic value in predicting survival outcomes remains inadequately assessed. Our objective was to explore the pro... read more 

Hospitalization and death following COVID-19 infection continue to pose a major public health concern and place strain on health system resources. Outpatient antiviral medication can reduce the risk of COVID-19 hospitalization and death for those at ... read more 

Generative artificial intelligence (AI) applications are becoming increasingly influential in psychology training, practice, and research. In this study, the procedures (e.g., coding process) and products (e.g., codes, categories, themes, core story)... read more 

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BACKGROUND: Pine wilt disease (PWD), caused by the pine wood nematode (PWN, Bursaphelenchus xylophilus), is one of the most destructive diseases of coniferous forests. Early warning of PWD outbreaks is critical for timely and effective control strate... read more 

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