Artificial Intelligence Medical Compendium

BACKGROUND: Recent advancements in digital health technologies have led to the accumulation of large volumes of unstructured text data, particularly in electronic health records. Given that nursing documentation frequently includes detailed descripti... read more 

An urgent requirement in chimeric antigen receptor (CAR) immune cell therapy [e.g., CAR-natural killer (NK) cells] for solid tumors is to engineer the cells for precise tumor targeting. Meanwhile, medical microrobots can be navigated toward specific ... read more 

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex illness lacking objective diagnostic biomarkers and clear pathophysiological understanding. Patients exhibit immune dysregulation and chronic inflammation reminiscen... read more 

Artificial intelligence-generated content (AIGC) is increasingly embedded in short-video platforms, where algorithmic recommendation systems expose users to high volumes of rapidly produced synthetic media. Although prior research has examined genera... read more 

Accurate estimation of nitrogen oxide (NOx) emissions is essential for characterizing their impacts on atmospheric environment and supporting air pollution management. This study introduces an innovative inversion framework based on a Physics-Informe... read more 

Oral cancer (OC), predominantly oral squamous cell carcinoma (OSCC), is a serious global health burden with high mortality rates, especially in South and Southeast Asia. OC is a severe worldwide health issue that is mostly caused by a sedentary lifes... read more 

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In computational approaches to language, semantic representations produced by modern deep learning systems are often encoded as high-dimensional latent vectors that are difficult to interpret. By contrast, cognitive science has emphasized the need fo... read more 

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PURPOSE: This study aimed to compare the performance of nomograms and deep learning (DL) models in predicting the pre-operative pathological grade of hepatocellular carcinoma (HCC) using clinical data and ultrasound images, with an emphasis on model ... read more