Artificial Intelligence Medical Compendium

BACKGROUND: Early recognition of multiple organ dysfunction syndrome (MODS) in the prehospital setting remains challenging and is critical for reducing mortality among critically ill patients. The modified Sequential Organ Failure Assessment (mSOFA) ... read more 

Study DesignRetrospective cohort study.ObjectivesTo develop and internally validate an interpretable machine learning model using preoperative radiographic indicators to predict distal junctional kyphosis (DJK) after surgery for Lenke type 1 or 2 ado... read more 

Background: Overweight, obesity, and type 2 diabetes (T2DM) increase the risk of vascular complications, including retinal vascular alterations. Artificial intelligence (AI)-based retinal screening enables early detection of microvascular damage, pot... read more 

BACKGROUND: Measurements of volatile organic compounds (VOCs) in exhaled air represent a promising noninvasive biomarker modality for gastrointestinal diseases and has potential to enable point-of-care diagnostics. AIM: To evaluate the feasibility of... read more 

The gut virome is a critical component of the microbiome-gut-brain axis; however, its role in irritable bowel syndrome (IBS) remains poorly understood due to limited sample sizes and geographic bias. We aimed to construct a comprehensive global atlas... read more 

Vestibular disorders are common, heterogeneous, and diagnostically challenging. Nystagmus is an important sign in vestibular assessment, but its interpretation can depend on clinician expertise and recording quality. This structured narrative review ... read more 

OBJECTIVE: This commentary examines gesture-based rehabilitation (GBR) as an assistive technology within an ecosystem for survivors of infectious diseases with neurological disabilities. It describes the roles of computer vision, markerless motion ca... read more 

Hepatitis screening is clinically challenging. Conventional serological and biochemical assays rely on cumbersome procedures, require long detection times, and lack sufficient sensitivity to identify pathological changes. Surface-enhanced Raman scatt... read more 

BackgroundAs artificial intelligence (AI) becomes increasingly integrated into the workplace, an important question concerns how employees respond when technological change is perceived as threatening rather than beneficial. Prior studies have examin... read more 

BackgroundThis study investigates the complex relationship between perceptions of artificial intelligence (AI) opportunities and well-being, exploring the underlying psychological processes. Using conservation of resources theory, we examine how empl... read more