Radiology

The role of artificial intelligence in paediatric abdominal imaging.

Artificial intelligence (AI) is increasingly shaping radiology, though its integration into paediatr...

Amyloid PET quantification with deep learning segmentation models without MRI.

AI-Based Personalized Therapy With Clinical Intelligence and Radiomics (SPOILS) for Patients With Low Back Pain: Prospective Observational Study.

BACKGROUND: Low back pain (LBP) is a leading cause of disability worldwide, affecting people of all ...

CSSL-ISRVN: consistency self-supervised learning integrating ISTANet and sensitivity refinement-enhanced variational network for accelerated MRI reconstruction.

OBJECTIVE: Magnetic resonance imaging is essential in clinical practice due to its non-invasive natu...

Imaging in the fast lane: Challenges and opportunities for expanding access to MRI.

MRI technology has continuously advanced since its inception in the 1980s, yet access to MRI remains...

Rethinking "Useful" and "Useless" AI in radiology.

Artificial Intelligence (AI) is reaching a pivotal moment in radiology, with rapidly expanding appli...

Computer-aided diagnosis of papillary thyroid carcinoma based on deep learning technology.

This article examines global thyroid cancer（TC） incidence trends, with emphasis on epidemiological p...

A lightweight CNN for enhanced non-small cell lung cancer classification using CT scan image.

Lung cancer is a leading cause of cancer-related mortality worldwide, and its early and accurate det...

Intratumoral and peritumoral radiomics-based machine learning models for the postoperative survival prediction in esophageal squamous cell carcinoma.

OBJECTIVES: This study aimed to develop and validate machine learning (ML) models to predict surviva...

Artificial intelligence for detecting orthodontic root resorption: A systematic review and meta-analysis of diagnostic accuracy.

BACKGROUND: External root resorption (ERR) and external cervical resorption (ECR) are common orthodo...

Hybrid Multi-View MRI Fusion for csPCa Diagnosis via Intra- and Inter-View Transformers.

Accurate diagnosis of clinically significant prostate cancer (csPCa) from multi-view MRI scans (axia...

Clinical Impact of Postrecanalization Hemorrhagic Transformation and Its Prediction Using Baseline Noncontrast CT.

BACKGROUND: Hemorrhagic transformation (HT) after recanalization therapy remains a critical concern ...

Hybrid Aquila optimizer-Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification.

Magnetic resonance imaging (MRI) is hard to categorize properly in terms of interclass similarity, t...

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

This study aims to estimate the diagnostic accuracy of deep learning (DL) models for automated detec...

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

This study introduces SwinPix, a novel network architecture designed to explore the effectiveness of...

Multiphase CT-based deep learning radiomics nomogram models for preoperative WHO/ISUP grading of clear cell renal cell carcinoma: a two-center validation study.

BACKGROUND: Preoperative determination of clear cell renal cell carcinoma (ccRCC) World Health Organ...

Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiography.

To evaluate a new deep learning (DL) motion correction (MC) software based on partial angle reconstr...

Comparative assessment of non-invasive imaging methods for coronary artery disease: coronary computed tomography angiography, computed tomography-derived fractional flow reserve and instantaneous wave-free ratio computed tomography.

Coronary artery disease remains a major worldwide health threat, requiring consistent developments i...

The Brain-Age Gap in Pediatric Dystonia: Neuroanatomical Deviations Inform Deep Brain Stimulation Outcomes.

BACKGROUND: Dystonia in children is a heterogeneous condition with variable response to deep brain s...

Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.

BACKGROUND: Kidney stones are a prevalent urological condition with significant global burden, often...

Development and validation of an interpretable MRI-based multimodal fusion model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicenter study.

OBJECTIVE: To develop an interpretable multimodal model that integrates pre-treatment Magnetic reson...