Artificial Intelligence Medical Compendium

PURPOSE: Coronal-plane classifications such as the Coronal Plane Alignment of the Knee (CPAK) classification support individualized total knee arthroplasty (TKA) planning but do not account for sagittal-plane morphology, particularly the posterior ti... read more 

Digital health and artificial intelligence (AI) are increasingly part of paediatric respiratory clinics, from home-based symptom monitoring and remote consultations to AI-supported test interpretation and large language model (LLM)-supported communic... read more 

Network biology provides a systems-level framework for understanding how interactions among molecular components, cells, microbial communities, tissues, and organs generate biological function and disease phenotypes. Recent advances in multiomics, si... read more 

PURPOSE: X-chromosome inactivation (XCI) equalizes dosage between females (XX) and males (XY), yet its functional and clinical consequences remain challenging to interrogate in humans. Unbalanced X-autosome translocations constitute a natural model i... read more 

INTRODUCTION: The type III Phosphatidylinositol 4-kinase (PI4KIIIβ) serves as a key host factor that mediates the replication of RNA viruses and is involved in essential membrane trafficking events. The development of PI4KIIIβ-specific inhibitors cou... read more 

α-Pyrones constitute an important class of natural products widely distributed in plants, fungi, bacteria, and marine organisms, exhibiting diverse biological activities, including antimicrobial, anticancer, anti-inflammatory, antiparasitic, and phyt... read more 

Early identification of autism spectrum disorder (ASD) may facilitate timely intervention, while diagnosis remains clinically based. This exploratory study evaluated fNIRS-derived features using multiple machine-learning algorithms to compare observe... read more 

The Internet of Medical Things (IoMT) and Wireless Body Area Networks (WBANs) enable real-time, remote, and continuous patient monitoring but remain vulnerable to cyber-physical attacks, including unauthorized device access, replay, man-in-the-middle... read more 

Industrial visual anomaly detection is crucial in intelligent manufacturing to achieve automated quality inspection with low dependency on manual inspection. Nevertheless, traditional single-stage deep learning methods struggle to detect both object ... read more 

Checkpoint inhibitor pneumonitis (CIP) is a potentially fatal immune-related adverse event of immune checkpoint inhibitor (ICI) therapy in lung cancer, and many machine-learning (ML), computed tomography (CT) radiomics, deep-learning, and clinical mo... read more