Artificial Intelligence Medical Compendium

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

Showing 51,641 to 51,650 of 225,182 articles

Training the diagnostic artificial intelligence in thyroid sonography: how well is deep learning truly learning?

Updates in surgery Feb 11, 2026
INTRODUCTION: The use of artificial intelligence (AI) for TI-RADS classification in neck sonography for the assessment of thyroid nodules has been proven beneficial. We evaluated the learning curve of such AI in a real-world setting. METHODS: Between... read more 

Validation of 13 102 International Classification of Diseases, Tenth Revision, Clinical Modification codes using a large language model-based system.

Journal of the American Medical Informatics Association : JAMIA Feb 11, 2026
OBJECTIVES: To comprehensively evaluate the validity of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for both prevalent diagnoses and less common diseases, and to assess the performance of a large ... read more 

Preemption at the Intersection of Health Care and Artificial Intelligence.

JAMA Feb 11, 2026
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Primary infliximab failure in pediatric colonic inflammatory bowel disease: Development of a proteomics predictive model using a prospective Canadian cohort.

Inflammatory bowel diseases Feb 11, 2026
BACKGROUND: We aimed to build a serum proteomics-based model to predict primary nonresponse (PNR) to infliximab (IFX) in pediatric colonic inflammatory bowel disease, with early proactive therapeutic drug monitoring. METHODS: Children in the prospect... read more 

Establishing an Evidence-based Modern Breast MRI Program.

Journal of breast imaging Feb 11, 2026
Breast MRI has evolved over the past several decades into a cornerstone of breast imaging. Historically, dynamic contrast-enhanced (DCE) MRI has served as the foundation of breast MRI protocols for differentiation of benign and malignant lesions and ... read more 

A Driving Regime-Embedded Deep Learning Framework for Modeling Intradriver Heterogeneity in Multiscale Car-Following Dynamics.

IEEE transactions on cybernetics Feb 11, 2026
A fundamental challenge in car-following (CF) modeling lies in accurately representing the multiscale complexity of driving behaviors, particularly the intradriver heterogeneity where a single driver's actions fluctuate dynamically under varying cond... read more 

DREAM: A Benchmark Study for Deepfake photoREalism AssessMent.

IEEE transactions on pattern analysis and machine intelligence Feb 11, 2026
Deep learning based face-swap videos, widely known as deepfakes, have drawn wide attention due to their threat to information credibility. Recent works mainly focus on the problem of deepfake detection that aims to reliably tell deepfakes apart from ... read more 

Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis with a Large-Scale Dataset.

IEEE transactions on pattern analysis and machine intelligence Feb 11, 2026
Thermal infrared imaging has attracted widespread attention in many fields due to the advantages of all-weather imaging and strong penetration. However, existing methods for thermal infrared novel-view synthesis often produce results with coarse deta... read more 

OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence Feb 11, 2026
The rapid advancement of deep learning has intensified the need for comprehensive data for use by autonomous driving algorithms. High-quality datasets are crucial for the development of effective data-driven autonomous driving solutions. Next-generat... read more 

NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis.

IEEE journal of biomedical and health informatics Feb 11, 2026
Methamphetamine dependence poses a significant global health challenge, yet its assessment and the evaluation of treatments like repetitive transcranial magnetic stimulation (rTMS) frequently depend on subjective self-reports, which may introduce unc... read more 
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