Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Showing 1-21 of 15,602 articles
AI-enhanced intraoperative decision-making in robotic surgery: from augmented reality navigation to foundation models.

Robotic surgical platforms have improved instrument dexterity, tremor filtration, and ergonomic cont...

Oct 2026 42909508
Real-world performance and misclassification patterns of deep learning for intracranial hemorrhage detection.

PURPOSE: To evaluate the real-world diagnostic accuracy and systematic misclassification patterns of...

Oct 2026 42909520
Performance of AI-based models in prenatal detection of trisomy 21 via ultrasonography: a systematic review.

OBJECTIVE: To systematically evaluate the performance, strengths, and limitations of artificial inte...

Oct 2026 42909530
Percutaneous cryoablation of musculoskeletal tumours: the largest reported single-centre case series - outcomes, complications and subgroup analysis.

OBJECTIVES: Cryoablation is an image-guided, minimally invasive treatment technique that uses extrem...

Oct 2026 42909541
Vaginal Canal Segmentation with nnU-Net Algorithm from MRI Defecography for Biomechanical Analysis.

INTRODUCTION AND HYPOTHESIS: Accurate three-dimensional segmentation of the vaginal canal is essenti...

Oct 2026 42909609
Arrhythmic Risk Stratification in Non-Ischaemic Cardiomyopathy: The Role of Cardiac Magnetic Resonance Imaging.

PURPOSE OF REVIEW: This review aims to evaluate the contemporary and evolving role of cardiac magnet...

Oct 2026 42909737
Longitudinal analysis of structural biomarkers for disease progression in intermediate age-related macular degeneration: a MACUSTAR study report.

PURPOSE: To investigate the prognostic impact of qualitative and quantitative structural biomarkers ...

Oct 2026 42918418
Examining reliance patterns on AI advice in medical imaging: a mixed-methods, randomised, crossover experiment.

BACKGROUND: Artificial intelligence (AI) holds significant potential to support diagnostic decision ...

Oct 2026 42919730
Cardiac Image Segmentation Under Respiratory Motion Artifacts Using Different Modified U-Net Models.

Precise segmentation of cardiac magnetic resonance images (CMR) is essential to quantitative measure...

Oct 2026 42920072
Diagnostic Performance and Concordance of a BI-RADS-Output AI System in Mammography: A Retrospective Study of Radiologists-AI Collaboration.

The identification of breast cancer using mammography and ultrasonography is influenced by inter-obs...

Oct 2026 42920073
Low-Field MRI for Knee Imaging: Current Insights and Evidence From a Systematic Review.

BACKGROUND: Low-field magnetic resonance imaging (MRI) has regained interest for musculoskeletal ima...

Oct 2026 42920104
Deep learning-based differentiation of FLASH ultrasound windows.

BACKGROUND: Equine colic emergencies present highly stressful, time-critical scenarios for both clin...

Oct 2026 42920153
A web modular AI interface for brain tumor MRI classification using deep learning models.

In order to improve patient outcomes and treatment processes, early and precise diagnosis of brain t...

Oct 2026 42920201
Deep learning-based detection of pneumoperitoneum on computed tomography: performance and clinical feasibility.

PURPOSE: Early detection of pneumoperitoneum on computed tomography (CT) is critical because delayed...

Oct 2026 42911392
Predicting Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer Using Machine Learning of MRI Radiomics.

OBJECTIVE: To develop and validate a machine learning-based MRI radiomics model for predicting the r...

Oct 2026 42911895
Leveraging AI-powered Sentiment Analysis for Enhancing Risk Communication in Radiological Emergencies.

Radiological emergencies require clear, credible, and empathetic communication to support public saf...

Oct 2026 42912195
Humanity in the loop: Reframing artificial intelligence and the global medical imaging divide.

OBJECTIVES: Access to radiology and nuclear medicine remains profoundly unequal across global health...

Oct 2026 42913184
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