Artificial Intelligence Medical Compendium

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

Showing 381 to 390 of 213,137 articles

Deep behavioral phenotyping reveals novel features in a mouse model of metabolic dysfunction-associated steatohepatitis.

Scientific reports Jul 21, 2026
Patients with metabolic dysfunction-associated steatohepatitis (MASH) often suffer from a broad range of extrahepatic symptoms including fatigue and pruritus. However, evaluating behavioral abnormalities in preclinical mouse models remains challengin... read more 

Quantifying soiling and environmental stress impacts on rooftop photovoltaic performance in a coastal industrial environment.

Scientific reports Jul 21, 2026
This paper presents a field-based performance evaluation of the rooftop photovoltaic (PV) systems operating under hot-arid coastal industrial environmental conditions. Two identical 5-kilowatt (kW) grid-connected PV systems were installed and commiss... read more 

Machine learning-driven estimation of microplastic percentage yield for rapid and accurate quantification.

Scientific reports Jul 21, 2026
Accurate microplastic (MP) quantification in agricultural soils is critical for environmental risk assessment, yet variability in extraction efficiency remains a significant barrier. This study This study investigated machine learning (ML) algorithms... read more 

YOLO11-based deep learning system for automated tubal patency classification in hysterosalpingography: a comparative study for clinical decision support.

Scientific reports Jul 21, 2026
In the United States, around 500,000 hysterosalpingography (HSG) procedures are performed annually. One fluoroscopic procedure that is frequently used to evaluate tubal patency in infertile women is hysterosalpingography. Clinical decision-making dep... read more 

Exploring the role of pain-related fear and lifting biomechanics in predicting low back pain incidence using supervised machine learning.

Scientific reports Jul 21, 2026
Greater lifting-specific pain-related fear has been associated with reduced lumbar spine motion during lifting, suggesting fear-driven protective movement strategies with potential negative consequences. However, the role of task-specific pain-relate... read more 

Optimization-enhanced machine failure classification using critical sensor features and hybrid learning models with advanced optimization techniques.

Scientific reports Jul 21, 2026
Industrial machine failures pose a significant challenge in modern manufacturing, leading to unexpected interruptions, increased maintenance costs, and reduced equipment reliability. Accurate machine failure prediction enables proactive maintenance s... read more 

Machine learning based digital assessment of mild cognitive impairment using mouse trajectories during the trail making test.

Scientific reports Jul 21, 2026
One of the objectives of digital neuropsychology is to apply computational methods to improve the accuracy of traditional assessments. The Trail Making Test (TMT) is one of the most popular neuropsychological tests for executive functions assessment.... read more 

Sex-specific predictors of lower-limb strength: an interpretable machine learning analysis of anthropometric and body composition measures.

Scientific reports Jul 21, 2026
Muscular strength is a key indicator of physical function. However, its direct laboratory assessment often requires specialized, high-cost equipment and can impose significant physical fatigue or safety risks for certain populations, limiting its rou... read more 

Real-world deployment of remote sleep monitoring technologies reveals distinct patterns associated with cognitive decline.

NPJ digital medicine Jul 21, 2026
Examining sleep patterns in relation to chronological ageing and dementia can provide insights for risk screening. Integrating predictive models with remote sleep monitoring enables routine assessment of cognitive decline symptoms in high-risk groups... read more 

Hybrid deep learning-driven explainable AI framework for fault detection and classification in smart power grids.

Scientific reports Jul 21, 2026
The stable detection of faults in smart power grids is essential when focusing on the stable operation and the reduction of the downtime. In this paper, the author suggests a hybrid deep learning-based model that combines convolutional neural network... read more 
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