Artificial Intelligence Medical Compendium

BACKGROUND: Type 2 diabetes is a widespread chronic condition in which blood glucose and body weight management constitute essential therapeutic targets. Emerging technologies have the potential to aid complex therapeutic pharmacotherapy choices that... read more 

BACKGROUND: Postoperative delirium affects up to 50% of older adults with cognitive impairment, yet preoperative identification of at-risk patients remains limited. Artificial intelligence methods, such as natural language processing, can extract cog... read more 

OBJECTIVE: Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into spine surgery across diagnostic, perioperative, and predictive applications, driven by their potential to enhance accuracy, efficiency, and patient saf... read more 

This study investigates the longitudinal developmental trajectories of pre-service physical education (PE) teachers' core competencies within a 16-week generative AI-driven STEAM basketball curriculum. Employing a parallel-group randomized controlled... read more 

PURPOSE: Artificial intelligence (AI) is rapidly transforming education through intelligent tutoring systems, adaptive learning platforms, learning analytics, and large language models. However, research on Learning Sciences, AI in Education, learnin... read more 

BACKGROUND: Acute lung injury (ALI) is a severe inflammatory disorder associated with high mortality. Jian'er Jiedu granule (JEJD), a formulation developed by Guangdong Provincial Hospital of Traditional Chinese Medicine, has shown promise in allevia... read more 

The performance of medical image classification models can degrade at deployment because of two common real-world challenges: domain shift and class imbalance. Domain shift causes whole-slide images acquired on different scanners to exhibit substanti... read more 

Climate warming has intensified compound drought-heatwave (CDHW) events worldwide, posing growing threats to ecosystem carbon-water dynamics. However, the impacts of CDHWs on ecosystem water-use efficiency (WUE), particularly event sequencing, drough... read more 

Wastewater utilities need transparent decision-support methods to prioritise sewer rehabilitation when CCTV inspection data are incomplete and groundwater infiltration creates operational and environmental burdens. Machine learning (ML) models are be... read more 

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