Artificial Intelligence Medical Compendium

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

Showing 60,921 to 60,930 of 228,300 articles

Deep learning algorithm for semiquantification of spinal inflammation in axial spondyloarthritis.

RMD open Jan 16, 2026
OBJECTIVE: To develop a deep learning algorithm for semiquantification of spinal inflammation in patients with axial spondyloarthritis (SpA). METHODS: The study included 330 participants with axial SpA. All patients underwent whole spine MRI with sho... read more 
Humans Algorithms Female Adult Male Middle Aged Deep Learning Inflammation Magnetic Resonance Imaging Spine Spondylarthritis Axial Spondyloarthritis

Predicting the progression of difficult-to-treat rheumatoid arthritis by a machine learning scoring system, from the FIRST registry.

RMD open Jan 16, 2026
OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA) and support the precise use of biologic and targeted synthetic disease-modifying antirheumatic drug... read more 
Humans Machine Learning Prognosis Female Aged Adult Male Middle Aged Disease Progression Severity of Illness Index Arthritis, Rheumatoid Registries Antirheumatic Agents

Grape expectations: disentangling environmental drivers of microbiome establishment in winegrowing ecosystems.

NPJ biofilms and microbiomes Jan 16, 2026
Microbial communities play a central role in viticulture, influencing wine characteristics (a concept termed microbial terroir). Yet, the individual factors shaping these microbiomes remain poorly understood. We conducted a multi-year, large-scale su... read more 

Dataset-centric evaluation of federated intrusion detection models in IoT networks.

Scientific reports Jan 16, 2026
Intrusion detection systems (IDS) leveraging federated learning (FL) are increasingly deployed in Internet of Things (IoT) environments to address distributed data and privacy constraints. However, generalization remains unclear because most evaluati... read more 

Automated 4D flow MRI pipeline for the quantification of advanced hemodynamic parameters in the left atrium.

Scientific reports Jan 16, 2026
The left atrium (LA) plays a pivotal role in modulating left ventricular filling, yet its hemodynamics remain poorly understood due to the limitations of conventional ultrasound analysis. Four-dimensional flow magnetic resonance imaging (4D Flow MRI)... read more 

Automated detection of giant cell arteritis from temporal artery biopsy specimens using deep learning approaches.

Scientific reports Jan 16, 2026
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Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data.

Nature communications Jan 16, 2026
Spatial transcriptomics (ST) links tissue morphology with gene expression values, opening new avenues for digital pathology. Deep learning models are used to predict gene expression or classify cell types directly from images, offering significant cl... read more 

Dual path fairness optimization for graph neural network based recommendation.

Scientific reports Jan 16, 2026
Graph Neural Networks (GNNs) have been widely used in recommender systems due to their ability to model high-order user-item interactions. However, their message-passing mechanism can inadvertently amplify data biases, which may increase group unfair... read more 

Hybrid quantum classical framework for electroencephalogram driven neurological processing in epileptic seizure taxonomy.

Scientific reports Jan 16, 2026
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Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions.

Scientific reports Jan 16, 2026
Understanding the spatial variability of precipitation is essential for water resource management and climate adaptation, especially in arid and semi-arid regions with strong spatiotemporal heterogeneity. Traditional geostatistical methods, such as o... read more 
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