Artificial Intelligence Medical Compendium

BACKGROUND: The construction industry records concerningly high rates of suicide compared to other industries. This study aimed to (1) identify sub-groups within the industry that report elevated rates of suicidal thoughts and behaviours, and (2) ide... read more 

Bone metastasis, a frequent complication of advanced cancers, requires early, precise detection to enable timely interventions and improve patient outcomes. Computed tomography (CT), valued for non-invasive, high-resolution imaging, is essential for ... read more 

Synechococcus elongatus UTEX 2973 has emerged as a promising phototrophic chassis for next-generation biorefineries. However, the development of new cyanobacterial platforms is hindered by fragmented datasets, limited strain knowledge, and inadequate... read more 

PURPOSE: To evaluate whether the difference between artificial intelligence (AI)-estimated retinal biological age and chronological age-the retinal age gap (RAG)-is associated with postoperative visual function after cataract surgery. DESIGN: Retrosp... read more 

BACKGROUND: Rapid and low-cost classification of oil and its derivatives is critically important for on-site inspection, quality monitoring, and field analysis within the petroleum industry. Conventional analytical techniques, such as gas chromatogra... read more 

Biogenic amines (BAs), typically arising from the fermentation of protein-rich food matrices or products with extended fermentation cycles, posing significant food safety concerns. Excessive intake or long-term accumulation may lead to health hazards... read more 

In real-world scenarios characterized by non-stationary data streams, Continual Learning (CL) aims to enable learners to acquire information from new classes without interrupting previously learned knowledge. Recently, several empirical studies have ... read more 

Land use and land cover (LULC) change is a major anthropogenic factor influencing flood behavior and hydrological processes. This systematic review synthesizes two decades (2005-2025) of research on hydrological modeling approaches used to assess flo... read more 

Systematic reviews play a critical role in evidence-based research but are labor-intensive, especially during title and abstract screening. Compact large language models (LLMs) offer potential to automate this process, balancing time/cost requirement... read more 

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