Artificial Intelligence Medical Compendium

Functional near-infrared spectroscopy (fNIRS), with its ability to directly measure cerebral hemodynamic changes and advantages such as portability, non-invasiveness, and resistance to interference, holds unique promise for driving fatigue detection.... read more 

Cultivated meat presents a promising alternative to meet the rising global demand for protein while minimizing environmental impact. However, developing functional scaffolds that provide stable support for cell culture and maintain structural integri... read more 

This study expands Califf's technostress model, which explores the psychological stress caused by technology, by integrating "perceived self-esteem threat" as a key stressor driven by the growing influence of medical artificial intelligence (AI), exa... read more 

OBJECTIVE: One of the most important biomarkers for evaluating long-term glycemic management and estimating the risk of diabetes is glycated hemoglobin (HbA1c). Early risk assessment and intervention techniques can be improved by identifying importan... read more 

OBJECTIVE: Programmed cell death-ligand 1 (PD-L1) expression and immune phenotype (IP) are potential predictive biomarkers for immune checkpoint inhibitors (ICIs) in recurrent and/or metastatic head and neck squamous cell carcinoma (R/M HNSCC). This ... read more 

Delirium is a common acute neuropsychiatric syndrome, and its early detection may improve clinical outcomes. This narrative review synthesized findings from 11 original studies and two systematic reviews that employed wearable sensors (actigraphy) to... read more 

BACKGROUND: Mercaptans are compounds of great concern because they are one of the main sources of sulphur in fuels and can reduce engine performance. Diesel-biodiesel blends have partially replaced diesel fuel as part of efforts to promote greener en... read more 

Accurate prediction of IDH mutation status in gliomas is critical for guiding diagnosis, prognosis, and treatment planning. We enrolled 2,537 preoperative MRI of glioma patients (mean age 55.91 ± 14.79, 1,063 females) from 11 different datasets, cons... read more 

Rapid proliferation of potentially toxin-producing cyanobacteria (cyanobacterial harmful algal blooms, cHABs) is a significant challenge for water resource managers. The U.S. Harmful Algal Bloom and Hypoxia Research Control Act calls for robust appro... read more 

Polygenic risk scores (PRSs) are becoming an important component of precision medicine, supporting earlier disease prediction and preventive strategies. This review summarizes current applications of PRS, future directions, and key considerations for... read more