Artificial Intelligence Medical Compendium

This perspective proposes a neuropsychiatric model of psychological and psychiatric interventions by reframing treatment as a control engineering problem grounded in dynamical systems theory and artificial intelligence (AI). We argue that psychopatho... read more 

BACKGROUND: Dysregulated lipid metabolism is common in patients with gastrointestinal (GI) cancer. This study investigated the ability of plasma lipidome variation during systemic treatment to classify GI cancer patients according to tumor response. ... read more 

In the emerging ammonia (NH3) economy, both olfactory and visual sensing are desired for leakage detection, in which olfactory sensing enables a fast response and wide detection range, while visual sensing ensures high selectivity. However, little is... read more 

BACKGROUND: Delirium is a common complication following cardiac surgery and significantly affects patient prognosis and quality of life. Recently, the application of artificial intelligence (AI) has gained prominence in predicting and assessing the r... read more 

Convolutional neural networks (CNNs) have achieved remarkable accuracy in histopathology image classification, yet their decision logic remains largely opaque. Most explainability methods, such as Grad-CAM or SHAP, provide only coarse heatmaps, offer... read more 

Accurate segmentation of glioblastoma subregions from multi-parametric MRI is essential for diagnosis, surgical planning, and treatment monitoring in neuro-oncology. However, effective delineation of surrounding non-enhancing FLAIR hyperintensity, no... read more 

A number of processes and pathways have been reported in the development of Post-Traumatic Stress Disorder (PTSD), however, novel biomarkers need to be identified for a better diagnosis and management. We used the Limma package to identify differenti... read more 

Companies in the foodservice industry are investing heavily into robots, attracted by gains in efficiency and lower labor costs. The appearance of these robots varies significantly. Some companies are investing in generalized robots that mimic the hu... read more 

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BACKGROUND: Recognizing emotion is a crucial project within the domain of brain-computer interface technology. Recently, researchers have found that deep learning have been proven to be superior to machine learning, but how to obtain more discriminat... read more