Radiology

The promise of quantitative approaches to computed tomography imaging in pulmonary sarcoidosis.

PURPOSE OF REVIEW: Pulmonary sarcoidosis is characterized by marked radiologic heterogeneity and lim...

Label-free ultraviolet photoacoustic microscopy for multiscale structural phenotyping of epithelial morphogenesis in organoid-derived intestinal epithelial wrinkle tissue.

Mechanical wrinkling of epithelial tissues encodes key features of tissue morphogenesis and mechanot...

An unsupervised physics-informed neural deconvolution framework for ultrasound imaging.

Objective. Point spread function (PSF) and clutter noise are primary causes of ultrasound quality de...

Preventing fragility fractures: AI-based opportunistic osteoporosis detection in routine CT ​.

UNLABELLED: This study shows that an artificial intelligence tool can identify patterns of reduced b...

Brain cone-beam CT image quality improvement using a deep-learning-based denoising method: a multicenter retrospective study.

PURPOSE: Deep learning (DL) denoising may improve cone-beam CT (CBCT) image quality for point-of-car...

Multimodal artificial intelligence in prostate cancer: integrating multiparametric MRI with clinicopathological, molecular, and functional imaging data.

Multimodal artificial intelligence (AI) is reshaping prostate cancer imaging by moving beyond MRI-on...

PRECISE v2 in active surveillance prostate MRI: toward a structured lexicon for longitudinal interpretation.

Active surveillance increasingly incorporates prostate MRI for longitudinal assessment of lesion sta...

AI-Assisted Tumor Boundary Delineation via Targeted Ultrasmall Iron Oxide Nanoprobe for High-Contrast HER2-Positive Tumor Imaging.

Breast cancer continues to be a leading cause of cancer-related mortality in women globally, where p...

Artificial intelligence applications in radiology: the new frontier in interstitial lung diseases.

BACKGROUND: Interstitial lung disease (ILD) comprises a heterogeneous group of disorders with divers...

Fetal brain MRI analysis: Towards clinical translation and impact.

While slice-to-volume registration and super-resolution reconstruction laid the foundation for motio...

Radiologic, Pathologic, and Deep Learning Predictors of Response to Immune Checkpoint Blockade in Renal Cell Carcinoma Patients Undergoing Post-Treatment Nephrectomy.

Response assessment of primary kidney tumors in the consolidation cytoreductive and neoadjuvant sett...

Deep Learning-guided Late-Phase Dynamic Frame Prediction for Accelerated Patlak Analysis in 18F-FDG-PET Brain Imaging.

PURPOSE: Dynamic 18F-FDG-PET enables the quantitative assessment of cerebral glucose metabolism but ...

Artificial Intelligence Optimizes Efficiency and Sonographer Workflow in Routine Adult Transthoracic Echocardiography: A Mixed-Methods Time-Motion Study.

Integrating multimodality CT-MRI deep learning with clinical-radiological features for preoperative hepatocellular carcinoma grading: a multicenter study.

OBJECTIVE: To develop and externally validate an integrated model that combines multimodality CT-MRI...

MSCT-Trans: A Multi-scale Convolutional Neural Network Token Transformer for Interpretable Ultrasound Image Classification.

Automated ultrasound image classification is increasingly important for clinical decision support in...

Deep Learning-Based Automated Segmentation of the Suprascapular Nerve and Adjacent Structures in Dynamic Supraclavicular Ultrasound.

OBJECTIVE: The suprascapular nerve (SSN) provides major motor and sensory innervation to the shoulde...

Multiparametric MRI Habitat Imaging for Preoperative Assessment of Ki-67 Proliferation Index in Meningiomas: A Multicenter Study.

BACKGROUND: Preoperative assessment of meningioma proliferative activity relies on the postoperative...

Intramuscular Fat Assessed by AI-Assisted Muscle Ultrasound: Association With Cardiometabolic Risk Factors and Diabetic Nephropathy in Diabetes Mellitus.

AIMS: Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and advers...

Robotic Ultrasound Imaging: A Comprehensive Review of Historical Evolution, Current State-of-the-Art, and Future Perspectives.

Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expert...

Beyond robotics: a systematic review of technology integration in direct anterior approach total hip arthroplasty.

Technology-assisted implant positioning has emerged as a strategy to improve component placement acc...

MRI-Based Deep Learning Guides Multi-Omics Discovery of NBPF4 as a Therapeutic Target for Breast Cancer Lymph Node Metastasis.

Deep learning models are increasingly used to analyze medical images, but their "black box" nature m...