Artificial Intelligence Medical Compendium

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

Showing 37,581 to 37,590 of 223,469 articles

Identification of rheumatoid arthritis manganese metabolism-related diagnostic biomarkers through bulk and single-cell RNA sequencing analysis.

Clinical rheumatology Mar 30, 2026
BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized primarily by synovial inflammation, often resulting in progressive joint damage and potential multi-system complications. Manganese, an essential trace element, play... read more 

Exploring White Matter Microstructural Abnormalities Using MRI in Women With Premenstrual Dysphoric Disorder via Brain Connectome.

Journal of magnetic resonance imaging : JMRI Mar 30, 2026
BACKGROUND: The neurostructural underpinnings of premenstrual dysphoric disorder (PMDD), particularly integrated white matter and network alteration, remain unclear. PURPOSE: To identify a core structural network in PMDD by integrating multiple diffu... read more 

Forecasting migraine with time-series machine learning from mobile health data.

The journal of headache and pain Mar 30, 2026
BACKGROUND: Machine learning provides a powerful framework to model the complex patterns underlying migraine attack onset from real-world high dimensional datasets. In this study, we used machine learning to forecast headache days using mobile health... read more 

Fully automated 3D segmentation of periapical lesions on CBCT images using nnU-Net v2.

BMC medical imaging Mar 30, 2026
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How deep resolve affects the stability of texture features for different MR image acceleration methods - a phantom and a human brain study.

BMC medical imaging Mar 30, 2026
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Deep learning radiomics based on multimodal MRI for preoperative prediction of N stage in tongue squamous cell carcinoma: a multicenter study.

BMC oral health Mar 30, 2026
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Patient perspectives on the use of artificial intelligence to support treatment decision making in renal cancer: findings from the KATY project.

BMC medical informatics and decision making Mar 30, 2026
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A novel method for drug-target affinity prediction by integrating predicted evolutionary information and multi-scale protein graphs.

BMC biology Mar 30, 2026
BACKGROUND: Drug-target affinity (DTA) prediction is crucial for drug discovery. While protein evolutionary features are vital for identifying conserved regions, current methods rely on computationally expensive multiple sequence alignment (MSA), cre... read more 

A biology-based quality-diversity algorithm for drug repurposing in Alzheimer's disease using automated machine learning.

BioData mining Mar 30, 2026
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Resting-state and task-state fNIRS fusion assessment method for upper limb motor function in stroke patients.

Journal of neuroengineering and rehabilitation Mar 30, 2026
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