Artificial Intelligence Medical Compendium

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

Showing 36,821 to 36,830 of 223,469 articles

Highly Accelerated 3D MRI of Brain Tumors Using Deep Modular Reconstruction Networks.

NMR in biomedicine
Post-contrast 3D T1-weighted MRI is a time consuming component of cancer neuroimaing protocols. The goal of this study is to accelerate the acquisition of 3D MRI using deep learning reconstruction of undersampled k-space data beyond clinically-availa... read more 

From collective human opinions to AI algorithms: How advice source influences judgment of behavioral health risks.

Applied psychology. Health and well-being
Previous research has shown that advice sources influence individuals' risk perceptions and health decision-making. We conducted two experiments to examine differences in health risk assessment between AI algorithms and human peer groups, and how the... read more 

Deep Learning Myocardial Segmentation in 3D Whole-Heart Joint T1/T2 Mapping: Comparison of nnU-Net and MA-SAM.

NMR in biomedicine
This study compares two advanced deep learning models, nnU-Net and MA-SAM, for automatic segmentation of the left ventricle (LV) myocardium using 3D whole-heart T1 and T2 mapping, with the goal of evaluating their performance in terms of segmentation... read more 

A Machine Learning-Based Model for Individualized Prediction of Vancomycin Concentration-Time Curves in ICU Patients.

Pharmacology research & perspectives
Therapeutic drug monitoring is essential for ensuring the efficacy and safety of vancomycin therapy in critically ill patients. This study aimed to develop a machine learning model for individualized prediction of vancomycin concentration-time curves... read more 

A Unified Deep Learning Framework for Liver MR Elastography Postprocessing: Proof-of-Concept Study.

NMR in biomedicine
Magnetic resonance elastography (MRE) enables non-invasive quantification of liver stiffness and plays a pivotal role in the assessment of hepatic fibrosis. However, clinical implementation remains limited by the need for manual delineation of region... read more 

Models Integrating Disease Heterogeneity and MPA Exposure Predict Systemic and Renal Efficacy of Mycophenolate in Pediatric Lupus Nephritis.

Pharmacotherapy
OBJECTIVES: This study aimed to develop and validate integrated prediction models for pediatric lupus nephritis (LN) treated with a mycophenolate mofetil (MMF)-based induction regimen (combined with glucocorticoids and hydroxychloroquine), incorporat... read more 

Ongoing Changes in the Publications Domain.

Journal of allied health
An announcement was made in February 2026 that the Journal of Allied Health (JAH), the official scholarly publication of the Association of Schools Advancing Health Professions (ASAHP), seeks a new Editor-in-Chief. The change is one of many significa... read more 

Perceptions of Group Work on Student Learning in Entry-Level Physical Therapist Education: A Qualitative Study.

Journal of allied health
Small group work, defined as two or more students interdependently working together to achieve specific objectives, is a strategy that has been adopted in physical therapy and health professions curricula to foster deep learning and help develop clin... read more 

Scalp Electroencephalography Markers of Hidden Interictal Epileptiform Discharges in the Mesial Temporal Lobe.

International journal of neural systems
Interictal epileptiform discharges (IEDs) are crucial for epilepsy diagnosis but are often undetectable on scalp EEG (scEEG). This study aims to develop a Support Vector Machine classifier to detect mesial temporal lobe (MTL) IEDs invisible on scEEG ... read more 

Bulk Microarray and Single-Cell Transcriptomic Analyses Reveal Bacterial Lipopolysaccharide-Related Biomarkers in Sepsis.

Drug development research
Sepsis, a life-threatening condition triggered by dysregulated host response to infection, poses significant global health challenges. Identifying lipopolysaccharide (LPS)-related biomarkers and underlying mechanisms remains critical, yet underexplor... read more