Artificial Intelligence Medical Compendium

SIGNIFICANCE: Complex drug products remain costly and inaccessible to many patients. The use of modern imaging technologies offers transformative tools to address generic drug research challenges, allowing for improved patient access to safe and effe... read more 

UNLABELLED: Smoking is the major environmental risk factor for lung cancer; however, the molecular basis underlying individual susceptibility to smoking-related carcinogenesis remains incompletely understood. This study aimed to identify smoking-spec... read more 

BACKGROUND: motion recognition using electroencephalography (EEG) has gained significant attention in the fields of affective computing and human-computer interaction due to its ability to capture real-time neural responses. EEG signal variations ass... read more 

PURPOSE: Digital burnout is an emerging workforce risk in digitally intensive healthcare systems, yet existing studies remain largely descriptive and provide limited guidance for prioritizing modifiable risk factors. This study develops an explainabl... read more 

Artificial intelligence (AI) is reshaping biomedical research as both a key analytical tool and an efficient copyeditor. Large language models and related algorithms can help investigators sift through the ever-expanding bodies of scientific literatu... read more 

Wild and cultivated Dendrobium devonianum are visually similar, but their chemical differences complicate raw-material authentication. Recent spectroscopic studies of Dendrobium have focused primarily on species identification and geographical tracea... read more 

Jujube is a characteristic fruit of China with distinctive aroma and high nutritional value. This review summarizes advances in the extraction and analysis of free and glycosidically bound volatile organic compounds (VOCs), odor-active compounds, aro... read more 

BACKGROUND: Mechanistic consistency does not necessarily imply improved prediction. We evaluated ordinary differential equation (ODE)-informed machine learning for systemic lupus erythematosus (SLE) disease-activity stratification, assessing predicti... read more 

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BACKGROUND: Part 1 of this series found that measured gains from artificial intelligence (AI) in health economics and outcomes research (HEOR) concentrate in tasks with observable ground truth and disappear where the quantity of interest is a counter... read more