Artificial Intelligence Medical Compendium

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

Showing 391 to 400 of 6,574 articles

Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm.

Scientific reports
In this research, we predict the output signal generated by iron oxide-based nanoparticles in Magnetic Resonance Imaging (MRI) using the physical properties of the nanoparticles and the MRI machine. The parameters considered include the size of the m... read more 

Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data.

Scientific reports
Accurate prediction of oil production rates through wellhead chokes is critical for optimizing crude oil production and operational efficiency in the petroleum industry. The central thrust of this investigation involves the systematic creation of mac... read more 

Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes.

Scientific reports
This study examines the integration of artificial intelligence-generated content (AIGC) tools across disciplines in higher education settings. Using a mixed-methods approach, we analyzed implementation patterns and learning outcomes across humanities... read more 

Research on lightweight tunnel cable fire recognition algorithm based on multi-scale features.

Scientific reports
Currently, tunnel fire detection faces challenges such as slow response times, high false alarm rates, and poor timeliness. With the rapid development of computer vision, tunnel intelligent fire detection has received extensive attention from academi... read more 

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Scientific reports
Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human life. Beyond its direct impact, diabetes substantially increases the risk of developing severe complications such as hypertension, cardiovascular disea... read more 

Modeling impacts of climate-induced yield variability and adaptations on wheat and maize in a sub-tropical monsoon climate - using fuzzy logic.

Scientific reports
Climate change is causing more frequent and extraordinary extreme weather events that are already negatively affecting crop production. There is a need for improved climate risk assessment by developing smart adaptation strategies for sustainable fut... read more 

Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR.

Scientific reports
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is important for hepatic disease monitoring and treatment. Multi-phase contrast enhanced imaging is superior in distinguishing hepatic structures compare... read more 

Advanced hybrid machine learning models with explainable AI for predicting residual friction angle in clay soils.

Scientific reports
Accurately estimating the residual strength friction angle of clay soils is vital for the design and stability evaluation of geotechnical structures such as slopes, retaining walls, and foundations, especially in regions susceptible to landslides and... read more 

A novel stochastic approach for reliable design of advanced frugal products.

Scientific reports
Climate change and other crises are putting strict limits on our consumption of energy and resources. Therefore, these constrains need to be integrated into engineering, which is currently prone to wastage, for systematically infusing frugality into ... read more 

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

Scientific reports
To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruction (DLR) using SilverBeam filter and standard dose with iterative reconstruction (IR) in abdominopelvic CT. In total, 182 patients (mean age ± stand... read more