Radiology

Deep learning and iterative image reconstruction for head CT: Impact on image quality and radiation dose reduction-Comparative study.

This study focuses on an objective evaluation of a novel reconstruction algorithm-Deep Learning Ima...

From Visualization to Automation: A Narrative Review of Deep Learning's Impact on Ultrasound-based Median Nerve Assessment.

Ultrasound imaging has emerged as a valuable tool in the diagnosis and management of peripheral nerv...

Interpretable machine learning model integrating contrast-enhanced CT environmental radiomics and clinicopathological features for predicting postoperative recurrence in lung adenocarcinoma: a retrospective pilot study.

PURPOSE: This study aims to develop an interpretable predictive model combining contrast-enhanced CT...

A deep learning aided bone marrow segmentation of quantitative fat MRI for myelofibrosis patients.

PURPOSE: To automate bone marrow segmentation within pelvic bones in quantitative fat MRI of myelofi...

MRI-based radiomics model for the preoperative prediction of classification in children with venous malformations.

AIM: This study aimed to explore the efficacy of MRI-based radiomics models, employing various machi...

Ultrasound Diagnosis of Pelvic Organ Prolapse Using Artificial Intelligence.

The aim of this study was to design a fully automated hybrid AI-based method, combining a convoluti...

Diagnostic Methods and Biomarkers in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract t...

Functional and structural brain remodeling in patients with degenerative cervical myelopathy following cervical decompression surgery.

BACKGROUND: Degenerative cervical myelopathy (DCM) represents a prevalent etiology of neurological d...

ESR Essentials: a step-by-step guide of segmentation for radiologists-practice recommendations by the European Society of Medical Imaging Informatics.

High-quality segmentation is important for AI-driven radiological research and clinical practice, wi...

Multimodal MRI radiomics enhances epilepsy prediction in pediatric low-grade glioma patients.

BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related...

iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.

Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advance...

Diagnostic Accuracy of Machine Learning-Assisted MRI for Mild Cognitive Impairment in Parkinson's Disease: A Systematic Review and Meta-Analysis.

To evaluate the diagnostic accuracy of machine learning-assisted magnetic resonance imaging (MRI) in...

Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach.

: Glioblastoma (GBM) is a highly aggressive primary central nervous system tumor with a median survi...

Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture.

Brain tumours (BTs) are among the most dangerous and life-threatening cancers in humans of all ages,...

The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response.

Desmoid tumors are rare, locally invasive soft-tissue tumors with unpredictable clinical behavior. I...

BrainView: A Cloud-based Deep Learning System for Brain Image Segmentation, Tumor Detection and Visualization.

A brain tumor is an abnormal growth in the brain that disrupts its functionality and poses a signifi...

Adversarial artificial intelligence in radiology: Attacks, defenses, and future considerations.

Artificial intelligence (AI) is rapidly transforming radiology, with applications spanning disease d...

Corrigendum to "Ultrasound-Based Deep Learning Radiomics Nomogram for Tumor and Axillary Lymph Node Status Prediction After Neoadjuvant Chemotherapy" [Academic Radiology 32 (2025) 12-23].

Synthesizing [F]PSMA-1007 PET bone images from CT images with GAN for early detection of prostate cancer bone metastases: a pilot validation study.

BACKGROUND: [F]FDG PET/CT scan combined with [F]PSMA-1007 PET/CT scan is commonly conducted for dete...

Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study.

BACKGROUND: Fast Healthcare Interoperability Resources (FHIR) is a widely used standard for storing ...

UKF-based model parameter estimation to localize the seizure onset zone in ECoG.

Drug-resistant epilepsy (DRE) patients typically require surgical intervention or neurostimulation. ...