Artificial Intelligence Medical Compendium

Machine learning (ML), a subset of artificial intelligence (AI), is revolutionizing health care. Given the intricate anatomy and functional complexity of the hand, AI applications in hand pathology are gaining prominence, particularly in the diagnosi... read more 

BACKGROUND: Walking ability is the priority for spinal cord injury (SCI) patients. Nontraumatic SCI (NTSCI) is increasing with aging populations, yet its prognosis remains understudied. Early predictionF using admission clinical indicators could faci... read more 

BACKGROUND: Identifying people with at-risk metabolic dysfunction-associated steatohepatitis (MASH) is a major challenge. We aimed to use deep learning to develop a convolutional neural network (CNN) model to facilitate the detection of at-risk MASH.... read more 

Chewing is a fundamental orofacial function closely related to nutrition, digestion, and quality of life, yet current assessment methods generally rely on indirect signals or endpoint measurements and provide limited process-level information. Here, ... read more 

Longitudinal data analysis in social and behavioral sciences often assumes a linear change over time, but human behavior is complex and frequently exhibits nonlinear patterns. Regression spline is a popular approach in machine learning to model nonli... read more 

Dual-energy computed tomography (DECT) pulmonary angiography (CTPA) is widely studied for pulmonary embolism (PE) evaluation, but heterogeneity in protocols, platforms, and study designs complicates its clinical positioning. This narrative review, wi... read more 

Liquid hydrocarbon separation is in great demand in the modern petrochemical industry. Membrane-based liquid hydrocarbon separation has emerged as a next-generation technology with great potential to address energy and environmental challenges, repre... read more 

BACKGROUND: Precision dosing integrates patient-specific factors to optimize pharmacotherapy. However, current evidence often relies on limited single-center studies, restricting generalizability. METHODS: A narrative review of literature on real-wor... read more 

BACKGROUND: Coronary computed tomography angiography (CCTA) is usually displayed in 2-dimensional planes with few fixed 3-dimensional (3D) views, which may limit appreciation of the spatial relationship between plaques and vessel. We describe initial... read more 

Accurate identification of complex gas mixtures in dynamic real-world environments is essential for environmental monitoring, food safety, and public health. However, these challenges arise mainly from overlapping response fingerprints of chemically ... read more