Radiology

Re-defining the 3Rs of pre-clinical research in nuclear medicine.

Pre-clinical nuclear medicine occupies a distinctive position in biomedical research, simultaneously...

Quantification, radiomics and artificial intelligence in infection imaging: Current status and future directions in nuclear medicine.

Nuclear medicine infection imaging has traditionally relied on semantic visual interpretation suppor...

Predicting the Postoperative Recurrence Risk in Soft-Tissue Sarcomas of the Extremities and Trunk Using MRI-Based Nomogram.

RATIONALE AND OBJECTIVES: This study aims to develop a comprehensive nomogram for predicting the 3-y...

A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network.

Breast cancer is among the most prevalent cancers affecting women worldwide, and early detection thr...

Comparative Performance of 3 Artificial Intelligence Systems for Lung Nodule Characterization in Low-Dose Computed Tomography Screening.

PURPOSE: This study evaluates 3 artificial intelligence (AI) systems in detecting, characterizing, a...

From Multimodal Data to Clinical Insight: An Explainable Model for Preoperative Salivary Gland Lesion Diagnosis.

OBJECTIVE: To develop and validate a multimodal dual-step support vector machine model (SVM-DualNet)...

Artificial intelligence for diagnosis and triage in oral cancer: a clinician‑centered narrative review.

BACKGROUND: Early diagnosis of oral squamous cell carcinoma (OSCC) remains challenging, with surviva...

Initial experience of deep learning reconstruction algorithm in lung kernel: clinical usefulness for lung nodules at ultra-low-dose protocol.

OBJECTIVES: TrueFidelity (TF), a deep learning image reconstruction algorithm that was originally av...

Photon-counting CT-enabled urolithiasis phenotyping: virtual non-iodine reconstructions, automated measurement, and spectral radiomics.

PURPOSE OF REVIEW: Urolithiasis management increasingly depends on accurate, noninvasive stone pheno...

CT Radiomics-Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy Study.

BACKGROUND: Thyroid carcinoma is the most prevalent endocrine malignancy, with a worldwide increasin...

Multiclass Radiomics-Based Prediction of BRAF Mutation Status in Pediatric Low-Grade Gliomas Using Multisequence MRI.

BACKGROUND AND PURPOSE: Pediatric low-grade gliomas (pLGGs) are the most common brain tumors in chil...

[Annual progress of interventional pulmonology in 2025].

In 2025, interventional pulmonology continues to progress rapidly through technological innovation a...

Multimodal MRI radiomics for predicting HIFU ablation efficacy in uterine fibroids: a machine learning study.

OBJECTIVE: To explore the predictive value of machine learning-based multimodal MRI radiomics combin...

NeuroMix-DL: Improving imaging quality of a fast multiparametric MRI protocol using deep learning.

PURPOSE: To improve the quality of a fast multi-contrast MR protocol acquisition using deep learning...

PCa-Mamba: Spatiotemporal state space models for prostate cancer detection in multi-parametric MRI.

Multiparametric Magnetic Resonance Imaging (mpMRI), including T2-weighted imaging (T2), diffusion-we...

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate...

Innovative fusion models: elevating preoperative gross ETE prediction in thyroid cancer patients.

The intratumoral and peritumoral architectural heterogeneities of papillary thyroid carcinoma (PTC) ...

Development of head-to-head and longitudinal CycleGAN algorithm for MRI harmonization: validation in follow-up MRI evaluation in patients with brain metastasis.

Various harmonization methods have been employed for obtaining MRI from different scanners. However,...

Guiding Preventive Care Strategies for Patients With Atherosclerotic Plaque on Coronary CTA: Primary Outcomes of the DECIDE Registry.

BACKGROUND: Artificial intelligence-enabled coronary plaque analysis (AI-CPA) has been shown to impr...

Efficient Deep Ladle-Net for fast universal 3D lesion segmentation on chest-abdomen-pelvis computed tomography.

Accurate evaluation of tumor size on follow-up computed tomography (CT) scans is critical for assess...

Letter to the Editor: Artificial intelligence in radiology: diagnostic sensitivity of ChatGPT for detecting hemorrhages in cranial computed tomography scans.