Artificial Intelligence Medical Compendium

Human gestation is characterized by dynamic changes in maternal physiology and maturation of tissue functions before and after birth. The fetus and neonate are highly dependent upon transfer of maternal nutrients via the placenta and lactating mammar... read more 

BACKGROUND: The application of artificial intelligence (AI) to resting-state electroencephalography (EEG) data represents a burgeoning frontier in schizophrenia diagnostics. However, the inferential validity of findings is frequently compromised by m... read more 

The increasing power densities of artificial intelligence and high-performance computing (HPC) chips place stringent demands on thermal interface materials (TIMs), which are designed to combine efficient heat transport with interfacial conformability... read more 

The expanding use of machine learning (ML) in clinical research has highlighted persistent methodological weaknesses that undermine the validity and interpretability of reported findings. Common issues include data leakage, inappropriate validation s... read more 

The dominant paradigm in computational materials discovery relies on heavily parameterized deep architectures, including message-passing graph and equivariant networks, that typically require large density functional theory (DFT)-labeled training set... read more 

Fluorescence imaging in the second near-infrared window (NIR-II, 1000-1700 nm) has attracted increasing attention in biomedical applications owing to its deep tissue penetration, high spatial resolution, and low background autofluorescence. However, ... read more 

Understanding which mammalian species participate in the sylvatic cycle of Trypanosoma cruzi is vital for clarifying the ecological processes that maintain Chagas disease transmission. Although more than 100 mammal species have been reported as natur... read more 

OBJECTIVES: Artificial intelligence (AI)-assisted endoscopy may support gastric cancer screening, but its impact on structured secondary human review remains unclear. We evaluated secondary review modifications and referral decisions before and after... read more 

Humidity sensors have demonstrated significant potential for applications in wearable electronics, physiological monitoring, and environmental sensing. However, the practical implementation of humidity sensors is often limited by reliance on external... read more 

BackgroundGait impairment in dementia and Parkinson's disease (PD) contributes to falls, reduced mobility, and loss of independence. Sensor-integrated, AI-assisted gait training systems may provide standardized rehabilitation with real-time feedback ... read more