Artificial Intelligence Medical Compendium

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

Showing 20,461 to 20,470 of 215,962 articles

Comparing machine learning and deep learning approaches to predicting the seismic response of slab-column connections.

Scientific reports
Slab-column joints constitute the most sensitive elements of flat plate structures during seismic forces since they are likely to experience brittle failure. This paper examines the predictive accuracy of an extensive Machine Learning (ML) and Deep L... read more 

Energy-aware load balancing in cloud environments using graph neural networks and grey wolf optimization.

Scientific reports
Cloud computing infrastructures must constantly maintain a balance between resource utilization and energy consumption to work effective under dynamic workloads. The training expense and generalizability of machine learning-based load balancing algor... read more 

GADEF-Net: A heterogeneity-aware dual-graph framework for robust multimodal traffic forecasting.

Scientific reports
Effective traffic forecasting in Intelligent Transportation Systems (ITS) requires the coordinated use of heterogeneous sensing streams, yet many existing graph-based models still process all modalities with a uniform encoder. This design overlooks t... read more 

ADHD identification from real-life recorded video.

Scientific reports
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects more than 10% of the population. Accurate and early diagnosis of ADHD is crucial for effective treatment and management of the disorder. Today, ADHD identif... read more 

BC-SwinNet: Swin transformer and CNN with multi-objective optimization for multi-class breast cancer detection using Histopathological images.

Scientific reports
Breast cancer remains a major global health concern and is the leading cause of cancer-related deaths among women worldwide. It is estimated that by 2030, its incidence and mortality rates will rise due to population growth, aging, and lifestyle chan... read more 

An exploratory study of multi-channel CNN for early detection of lung cancer from longitudinal healthcare records.

Scientific reports
Lung cancer remains the leading cause of cancer-related mortality worldwide, with poor survival rates due to late-stage detection. Current low-dose computed tomography screening faces barriers including high costs and false-positive rates reaching 24... read more 

Deep fusion explainable recommendation based on sentiment analysis and feature weighting.

Scientific reports
Recommendation systems are crucial in helping users search for personalized information. However, the original ratings used by existing recommendation systems can't accurately represent users' true rating intentions, ignore sentiment attitudes, and l... read more 

RNN-based detection of IoT malware using diverse feature engineering methods.

Scientific reports
The Internet of Things (IoT) has rapidly expanded, introducing critical security vulnerabilities due to increasingly sophisticated malware that traditional detection methods struggle to identify. To enhance malware detection in IoT environments, we d... read more 

A machine vision based defect detection method for coated carbide CNC inserts and its industrial automation implementation analysis.

Scientific reports
Computer Numerical Control (CNC) inserts are critical components of CNC machine tools, where surface defects can severely compromise machining precision. Traditional manual inspection methods for these defects are inefficient and prone to significant... read more