AI Medical Compendium

Machine learning driven clustering for silhouetting 5G network throughput.

Scientific reports Mar 30, 2026

Compared with previous generations, the 5G enhanced mobile broadband (eMBB) application delivers higher connection, quicker data speeds, and better customer support. Improving data transmission speeds for 5G uplink user equipment (UE) users is the go... read more

Machine learning prediction of common bile duct stones using synthetic data to guide emergency ERCP decisions.

Scientific reports Mar 30, 2026

Endoscopic retrograde cholangiopancreatography (ERCP) remains the standard for common bile duct (CBD) stone removal. However, current guidelines often result in unnecessary procedures. This study aimed to develop and validate a machine learning model... read more

DengueGNN: Graph-based deep learning for modeling disease spread dynamics and prediction.

Scientific reports Mar 30, 2026

Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning.

Scientific reports Mar 30, 2026

MetaCAM as an ensemble-based class activation mapping framework improves model explainability.

Scientific reports Mar 30, 2026

The need for clear, trustworthy explanations of deep learning model predictions is essential for high-criticality fields, such as medicine and biometric identification. Class Activation Maps (CAMs) are an increasingly popular category of visual expla... read more

Nonlinear drivers and spatial heterogeneity of urban heat islands in lake-dense regions across ecological stress-structure-service interactions.

Scientific reports Mar 30, 2026

Gene expression and machine learning techniques uncover corneal biomarkers associated with oxidative stress in the myopia progression.

Scientific reports Mar 30, 2026

This study aimed to identify and validate corneal biomarkers underlying myopia using human corneal tissues. Gene expression data were analyzed to investigate myopia development, where candidate genes were selected by identifying differentially expres... read more

Machine learning classification of early-stage Parkinson's disease using sit-to-walk biomechanical features.

Scientific reports Mar 30, 2026

Using machine learning algorithms to predict MACE in peritoneal dialysis patients.

Scientific reports Mar 30, 2026

The study aimed to predict the risks of Major adverse cardiac events (MACE) in patients undergoing peritoneal dialysis (PD) with machine learning (ML) algorithm. In addition, we added the time factor and predicted the risk factors for MACE during the... read more

Enhanced swin transformer with dual attention for knee osteoarthritis severity grading from X-ray images.

Scientific reports Mar 30, 2026

Osteoarthritis of the knee (OA) is a common degenerative condition that affects quality of life and mobility, especially in older adults. For disease management and treatment planning to be successful, early and precise diagnosis is essential. In ord... read more

Artificial Intelligence Medical Compendium

Machine learning driven clustering for silhouetting 5G network throughput.

Machine learning prediction of common bile duct stones using synthetic data to guide emergency ERCP decisions.

DengueGNN: Graph-based deep learning for modeling disease spread dynamics and prediction.

Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning.

MetaCAM as an ensemble-based class activation mapping framework improves model explainability.

Nonlinear drivers and spatial heterogeneity of urban heat islands in lake-dense regions across ecological stress-structure-service interactions.

Gene expression and machine learning techniques uncover corneal biomarkers associated with oxidative stress in the myopia progression.

Machine learning classification of early-stage Parkinson's disease using sit-to-walk biomechanical features.

Using machine learning algorithms to predict MACE in peritoneal dialysis patients.

Enhanced swin transformer with dual attention for knee osteoarthritis severity grading from X-ray images.

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Artificial Intelligence Medical Compendium

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