Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 52,091 to 52,100 of 225,279 articles

Multi-view graph clustering via dual attention fusion and collaborative optimization.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Multi-view graph clustering, a fundamental task in data mining and machine learning, aims to partition nodes into disjoint groups by leveraging complementary information from multiple data sources. Although significant progress has been made, existin... read more 

Artificial intelligence performance in generating colorectal surgery board questions.

American journal of surgery Feb 10, 2026
BACKGROUND: Large language models (LLM) can pass medical licensing and specialty board exams, but their ability to generate high-quality board-style exam questions is uncertain. METHODS: Three LLMs each generated 20 colorectal surgery board questions... read more 

Estimation of grassland carrying capacity based on forage quantity/nutritional quality and livestock/wild ungulates in Changtang Nature Reserve on the Qinghai-Tibetan Plateau.

Journal of environmental management Feb 10, 2026
Accurate quantification of the grassland carrying capacity (GCC) is important to guide the sustainable grassland management. However, few studies have estimated the GCC in consideration of forage nutritional quality and wild ungulate population in th... read more 

AI for smart wastewater treatment plants: A review of physics-informed water quality modeling, optimization, and advanced control.

Journal of environmental management Feb 10, 2026
Wastewater treatment plants (WWTPs) are among the largest energy consumers in cities and are also an important source of global greenhouse gas emissions. The use of artificial intelligence (AI) offers a promising route to make WWTPs low-carbon and sm... read more 

Unraveling the nonlinear effects of urban blue-green spaces on residents' health in the United States (2000-2019).

Journal of environmental management Feb 10, 2026
Amid rapid urbanization and the degradation of natural landscapes, urban blue-green spaces (BGSs) have garnered increasing attention for their role in promoting health and providing nature-based therapeutic benefits. Although the general health benef... read more 

Predicting Energy Expenditure in Preschool Children Using Accelerometer and Gyroscope Data.

Pediatric exercise science Feb 10, 2026
PURPOSE: The purpose of this study was to explore whether incorporating gyroscopic and accelerometer data will improve the prediction of energy expenditure (EE) of preschool children. Three model configurations were developed and compared using (1) a... read more 

Predictive modeling of molecular activity underlying physical cell-cell interactions.

Cell reports methods Feb 10, 2026
Interactions between cells are central to tissue organization and function in health and disease. Labeling immune partnerships by sortagging intercellular contacts (LIPSTIC) quantitatively measures direct physical cell-cell interactions. Combined wit... read more 

Efficacy of artificial intelligence-assisted upper gastrointestinal endoscopy for neoplasm detection: a systematic review and meta-analysis of randomized controlled trials.

Gastrointestinal endoscopy Feb 10, 2026
BACKGROUND AND AIMS: EGD remains the primary diagnostic modality for evaluating lesions of the upper gastrointestinal (UGI) tract. This meta-analysis assessed the diagnostic performance of artificial intelligence-EGD (AI-EGD) compared with convention... read more 

Predictive modelling of antibacterial efficacy in TiO2/ZnO/CS nanocomposites using artificial neural networks.

International journal of biological macromolecules Feb 10, 2026
The contamination of water by drug-resistant pathogens underscores the urgent need for advanced antibacterial materials. In this study, we introduce a novel ternary TiO2/ZnO/CS (CS) nanocomposite (1:2:1 ratio) that exhibits synergistic antibacterial ... read more 

Integrated metabolomics and machine learning identify potential biomarkers and metabolism-related targets for MASLD in older adults.

Experimental gerontology Feb 10, 2026
BACKGROUND: Given the high prevalence and serious health threats of Metabolic dysfunction-associated steatotic liver disease (MASLD) in older people, uncovering the pathological features of MASLD in the context of age is critically important. This st... read more 
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