Artificial Intelligence Medical Compendium

BACKGROUND: Clinical guidelines advocate use of validated risk models in patients experiencing heart failure with reduced ejection fraction (HFrEF) to inform prognosis and assist with management. We developed models for worsening HF (WHF) hospitaliza... read more 

Multi-modal analysis can provide complementary information and significantly aid in the early diagnosis and intervention of Alzheimer's Disease (AD). However, the issue of missing modalities presents a major challenge, as most methods that rely on co... read more 

PURPOSE: This study aimed to evaluate the diagnostic accuracy of Chat Generative Pre-trained Transformer (ChatGPT) version 4 Omni (ChatGPT-4o) in radiology across seven information input combinations (image, clinical data, and multiple-choice options... read more 

In real-world scenarios, achieving rotation robustness in point cloud analysis is crucial due to the unpredictable orientations of 3D objects. While recent advancements in rotation robustness typically rely on auxiliary modules to align rotated objec... read more 

Entity alignment (EA) is a fundamental task in knowledge graph (KG) integration, aiming to identify equivalent entities across different KGs for a unified and comprehensive representation. Recent advances have explored pre-trained language models (PL... read more 

Foresight neural network pruning methods have garnered significant attention due to their potential to save computational resources. Recent advancements in this field are predominantly categorized into saliency score-based and graph theory-based meth... read more 

A clinical observation common to both sarcopenia and frailty is compositional changes to skeletal muscles. Automatic segmentation and quantification of skeletal muscle composition using imaging modalities such as computed tomography or MRI have indic... read more 

Metacognition, defined as the awareness and regulation of one's cognitive processes, is central to human adaptability in unknown situations. In contrast, current autonomous agents often struggle in novel environments due to their limited capacity for... read more 

CLINICAL RELEVANCE: Communication between eye care practitioners is essential to optimise health care. Traditionally, actors have been used prior to real patient exposure, but this is expensive and much training is needed to ensure a consistent stude... read more 

Ocular blood flow imaging techniques have become indispensable in current clinical practice because retinal vascular disturbances have been implicated in the pathophysiology of numerous ocular diseases. In this review, we explore the applications of ... read more