Artificial Intelligence Medical Compendium

BackgroundThe current world demographic reality necessitates a critical re-evaluation of how technological tools, specifically those powered by artificial intelligence (AI), interact with the varying cognitive profiles of a ageing workforce.Objective... read more 

BackgroundThe integration of artificial intelligence (AI) and machine learning (ML) within the clinical work of rehabilitation therapists in post stroke rehabilitation has the potential to transform their work performance, habits, and routines. The i... read more 

BackgroundPure-tone audiometry is the gold standard for diagnosing occupational noise-induced hearing loss (ONIHL); however, its reliance on expensive equipment, trained personnel, and subjective auditory responses limits its use in large-scale occup... read more 

Sweat glucose detection offers the advantages of being painless, noninvasive, and suitable for continuous monitoring, showing broad application prospects in diabetes management. However, a single sweat glucose detection method cannot meet the require... read more 

BACKGROUND: Tumor invasion and malignant transformation are spatiotemporally coordinated processes that shape clinical behavior, diagnostic classification, and treatment response. Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive tumor... read more 

Artificial intelligence (AI) for pathology is accelerating cancer diagnostics. For global adoption, studies in currently under-represented populations - where the potential gains from AI may also be greatest - are needed. We present the first externa... read more 

Preeclampsia (PE) is a major cause of maternal and perinatal morbidity and is increasingly recognized as a disorder involving immune dysregulation. However, reliable candidate biomarkers and key molecular alterations associated with PE remain unclear... read more 

INTRODUCTION: Although preventable, dental caries remains a global public health challenge due to its multifactorial nature and the deep influence of socio-structural determinants. This study evaluates the performance of Artificial Intelligence (AI)... read more 

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Electronic noses (e-noses) based on cross-selective gas sensors often suffer from severe redundancy, which degrades odor analysis accuracy and impedes practical deployment. Here, we introduce a fully deep-learning-based sensor array optimization (SAO... read more