Artificial Intelligence Medical Compendium

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

Showing 43,641 to 43,650 of 224,055 articles

Diagnostic Accuracy of Deep Learning for Automated Detection of Spinal Degenerative Disease on MRI: A Systematic Review and Meta-Analysis.

Journal of imaging informatics in medicine Mar 9, 2026
This study aims to estimate the diagnostic accuracy of deep learning (DL) models for automated detection/classification of spinal degenerative disease (SDD) on spine MRI and explore clinically relevant heterogeneity. We searched Ovid MEDLINE, Ovid Em... read more 

HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification.

Journal of imaging informatics in medicine Mar 9, 2026
The analysis of fundus images is critical for the early detection and diagnosis of retinal diseases such as diabetic retinopathy (DR), glaucoma, and age-related macular degeneration (AMD). Traditional diagnostic workflows, however, often depend on ma... read more 

SwinPix: A Swin Transformer-based Pix2Pix Framework for Low-Dose PET Denoising Using Multi-level Inputs Toward Standard-Dose Quality.

Journal of imaging informatics in medicine Mar 9, 2026
This study introduces SwinPix, a novel network architecture designed to explore the effectiveness of multi-level low-dose (LD) PET inputs as prior knowledge for standard-dose (SD) PET image prediction. By employing SwinPix architecture, we assess the... read more 

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging.

EJNMMI research Mar 9, 2026
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Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.

Cardiovascular engineering and technology Mar 9, 2026
BACKGROUND: Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide, with chronic limb-threatening ischemia (CLTI) representing its most severe presentation. Although image-guided endovascular interventions are routine... read more 

The use of remote monitoring technologies for early detection of lameness in beef bulls during the breeding season.

Journal of animal science Mar 9, 2026
Lameness during the breeding season can impair bulls' reproductive performance, but early detection may enable timely treatments or replacements to mitigate pregnancy losses. This study used remote monitoring technologies to investigate whether chang... read more 

MedFusion-gP-AKI: development and multicenter validation of a machine learning fusion model for early prediction of KDIGO stage 3 acute kidney injury in critically ill traumatic cervicothoracic spinal cord injury patients.

Renal failure Mar 9, 2026
KDIGO stage-3 acute kidney injury (AKI), a life-threatening complication in critically ill patients with traumatic cervicothoracic spinal cord injury (TCTSCI), was associated with a 49.3% 60-day mortality and a median survival of 20 days in a combine... read more 

Comparison of CT-based radiomics models for the prediction of human epidermal growth factor receptor 2 status in gastric cancer.

BMC medical imaging Mar 9, 2026
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HyperDeepTAD: a topologically associated domains detection method based on multiway chromatin interaction data and deep learning.

BMC genomics Mar 9, 2026
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A nine-gene diagnostic model for IgA nephropathy based on multi-cohort machine learning: integrating gene expression and immunohistochemical validation.

Renal failure Mar 9, 2026
IgA nephropathy (IgAN) is the most common primary glomerulonephritis, requiring improved diagnostic tools. We analyzed three cohorts (GSE37460, GSE93798, and GSE115857 are internal validation cohorts) using gene set enrichment analysis on 7751 pathwa... read more 
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