Artificial Intelligence Medical Compendium

Liquid hydrocarbon separation is in great demand in the modern petrochemical industry. Membrane-based liquid hydrocarbon separation has emerged as a next-generation technology with great potential to address energy and environmental challenges, repre... read more 

BACKGROUND: Precision dosing integrates patient-specific factors to optimize pharmacotherapy. However, current evidence often relies on limited single-center studies, restricting generalizability. METHODS: A narrative review of literature on real-wor... read more 

BACKGROUND: Coronary computed tomography angiography (CCTA) is usually displayed in 2-dimensional planes with few fixed 3-dimensional (3D) views, which may limit appreciation of the spatial relationship between plaques and vessel. We describe initial... read more 

Accurate identification of complex gas mixtures in dynamic real-world environments is essential for environmental monitoring, food safety, and public health. However, these challenges arise mainly from overlapping response fingerprints of chemically ... read more 

BACKGROUND: The integration of artificial intelligence (AI) into plastic and aesthetic surgery is advancing rapidly, with applications in preoperative image analysis, outcome simulation, and complication prediction. However, the adoption of AI-based ... read more 

OBJECTIVES: Although the identification of enumeration anomalies has potential clinical implications for chronic back pain and operation planning, the thoracolumbar junction is poorly assessed and rarely described in clinical reports. Additionally, e... read more 

PURPOSE: This study aimed to comparatively evaluate the accuracy, overall quality, and readability of responses generated by three contemporary large language models (LLMs)-Grok AI, ChatGPT-5 Plus, and Gemini 2.5 Flash-to clinical questions commonly ... read more 

This review concludes that integrating AI with smart sensing has the potential to substantially enhance hydroponic production through precise monitoring, adaptive control, and improved resource-use efficiency. Hydroponics, a key approach in controlle... read more 

The clinical implementation of precision oncology remains challenged by intratumoral heterogeneity, complex tumor microenvironment interactions, and the limited predictive value of conventional preclinical models. 3D cancer spheroids have emerged as ... read more 

Accurate characterisation of the wound bed, the relative proportions of granulation, slough and necrotic tissue described by the red-yellow-black model, is central to monitoring healing and guiding debridement in chronic-wound care, yet in routine pr... read more