Artificial Intelligence Medical Compendium

This systematic review and meta-analysis (PROSPERO: CRD420251130769) synthesises 30 dengue modelling studies conducted in the Americas between 2016 and 2025, evaluating the integration of mechanistic and data-driven approaches. We quantified the reli... read more 

OBJECTIVES: There is growing evidence linking the consumption of ultra-processed foods (UPFs) to adverse health outcomes. Accurate classification of foods according to the extent and purpose of industrial processing is therefore essential for improvi... read more 

Sourdough fermentation relies on a dynamic microbial consortium of fungi and bacteria, shaped by interspecies interactions and environmental conditions. We analyzed the microbiota and physicochemical characteristics of 115 sourdough samples - includi... read more 

Spiking neural networks (SNNs) are artificial neural networks based on simulated biological neurons and have attracted much attention in recent artificial intelligence technology studies. The dendrites in biological neurons have efficient information... read more 

Autism Spectrum Disorder (ASD) refers to abnormal neural activity that may increase the risk of premature brain development issues. Many traditional treatment methods are available for ASD, but they require continuous assessment and analysis of patie... read more 

Ineffective handoffs are associated with medical errors and adverse outcomes. Intrahospital handoffs occur at shift change, patient transfer, and service change. Handoff interventions often include structural interventions (eg, mnemonics, electronic ... read more 

This study introduces a hybrid deep learning model that combines CNN-based hierarchical feature extraction with light-efficient vision transformer self-attention to classify multiple types of cotton leaf diseases and fabric defects. Using Explainable... read more 

Artificial intelligence (AI) revolutionizes dentistry, enhancing diagnostic accuracy, treatment planning, and collaboration. This article examines AI's role in oral and maxillofacial imaging, pathology, and laboratory workflows through the lens of Pr... read more 

Echocardiography underpins the diagnosis and management of cardiovascular disease, yet measurement variability can influence treatment decisions. Artificial intelligence (AI) may standardize interpretation, but its reproducibility and clinical impact... read more 

This study extends universal differential equation (UDE) frameworks by integrating the Kolmogorov-Arnold Network (KAN) with ordinary differential equations, referred to as KAN-UDE, to achieve efficient and interpretable deep learning. Our case study ... read more