Artificial Intelligence Medical Compendium

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Many medical schools primarily use multiple-choice questions (MCQs) in pre-clinical assessments due to their efficiency and consistency. However, while MCQs are easy to grade, they often fall short in evaluating higher-order reasoning and understandi... read more 

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Polymeric biomaterials, particularly electrospun nanofibers, are increasingly central to the development of advanced wound dressings capable of supporting tissue regeneration while enabling real-time physiological monitoring. Chronic wounds associate... read more 

Opisthorchis viverrini (Ov) infection is a major public health concern in the Greater Mekong Subregion, with cats as key reservoir hosts. Although machine learning (ML) is widely used in human medicine, its application in veterinary epidemiology rema... read more 

Integration of AI and XR in TAVR is revolutionizing the management of severe aortic stenosis by enhancing diagnostic accuracy, risk stratification, and pre-procedural planning. Advanced algorithms now facilitate precise electrocardiographic, echocard... read more 

PURPOSE: Longitudinal validation of the artificial intelligence-based Notal OCT Analyzer (NOA) for identification of clinically significant changes in the trajectories of retinal total hypo-reflective volume (TRO) from daily home OCT (HOCT) self-imag... read more 

This study developed an artificial neural network (ANN) model to predict the 1,4-dioxane removal efficiency from hazardous landfill leachate treated by an algal/bacterial symbiosis system. Three algal/bacterial membrane bioreactors were operated in p... read more 

Less than a decade has passed since deep learning (DL) was first applied in ophthalmology. With tremendous growth in this field since then, DL is expected to transform and enhance the efficiency of traditional ophthalmology practice. Central serous c... read more 

BACKGROUND: Accurate and rapid phenotyping of venous thromboembolism (VTE) in longitudinal studies is important. A natural language processing (NLP) tool externally validated in representative patients is lacking. OBJECTIVES: To train and validate an... read more