Artificial Intelligence Medical Compendium

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

Showing 20,621 to 20,630 of 216,088 articles

AI-powered evaluation of dementia severity based on clinical data and visual scoring systems (MTA, ERICA, GCA) from MRI.

Scientific reports May 11, 2026
Dementia, particularly Alzheimer's disease (AD), is a growing concern in aging populations, with mild cognitive impairment (MCI) frequently progressing to AD. While existing studies often rely on comprehensive neuropsychological evaluations and asses... read more 

Crowdsourcing enables robust cell annotation for breast cancer pathology.

Scientific reports May 11, 2026
The tumor microenvironment (TME) contains important morphological and molecular cues that help determine prognosis and therapeutic responses. Deep learning models can assist pathologists in assessing such biomarkers. However, generating high-quality ... read more 

Intravenous extravasation report generation using deep learning, generative artificial intelligence, and visual question answering techniques.

Scientific reports May 11, 2026
Peripheral intravenous extravasation poses significant clinical challenges, demanding accurate assessment for timely intervention. This study advances extravasation management by integrating Visual Question Answering (VQA) technology within the Thamm... read more 

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

Scientific reports May 11, 2026
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 May 11, 2026
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 May 11, 2026
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 May 11, 2026
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 May 11, 2026
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 

Retraction Note: Explainable artificial intelligence for predictive modeling of student stress in higher education.

Scientific reports May 11, 2026
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An exploratory study of multi-channel CNN for early detection of lung cancer from longitudinal healthcare records.

Scientific reports May 11, 2026
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 
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