Radiology

Performance of an adult-trained AI tool for intracranial hemorrhage detection on head CT in children aged 6-17 years.

BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap for pediatric patients. Intracranial hemorrhage (ICH) detection is a common adult AI application without pediatric FDA clearance. OBJECTIVE: To evaluate the performance of an FDA-cleared, adult-trained AI tool for ICH detection on non-contrast head ...

An Optimized Strategy for Brain Tumor Classification Using SO(3) Equivariant Graph Neural Networks with Snow Geese Algorithm in MRI Imaging.

Brain tumors (BT) are actually an uncontrolled growth of cancer cells inside the body that can be classified into several classes according to their characteristics and accessible therapies. Brain tumors require a thorough examination by medical professionals due to their seriousness and risk for death. One of the advanced digital image processing techniques utilized for categorized tumors is magn...

Scanner-integrated reconstruction versus post-processing deep learning for low-count 18F-FDG PET/CT: a comparative clinical evaluation.

OBJECTIVES: To compare two deep learning (DL) approaches for low-count PET/CT: deep progressive reconstruction (DPR), a scanner-integrated reconstruct...

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial.

BACKGROUND: Evidence indicates that artificial intelligence (AI) can improve mammography screening by increasing cancer detection and reducing screen ...

Machine learning prediction of live birth after IVF using the morphological uterus sonographic assessment group features of adenomyosis.

Diagnostic accuracy of artificial intelligence models for temporomandibular joint anomalies on MRI: a systematic review and meta-analysis.

BACKGROUND: Artificial intelligence (AI) techniques are increasingly applied to magnetic resonance imaging (MRI) for detecting temporomandibular joint...

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease.

OBJECTIVE: Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste...

High Accuracy but Low Explainability: The Challenge of Explainable Artificial Intelligence in Multiple Sclerosis Assessment From Magnetic Resonance Imaging Radiology Reports.

Timely identification of disease progression and/or active lesions in multiple sclerosis (MS) is essential for clinical management. Radiology reports ...

Evaluating ChatGPT-5.0 in developmental dysplasia of the hip: A scenario-based validation study against AAOS and AAP guidelines.

PURPOSE: Developmental dysplasia of the hip (DDH) requires timely, guideline-concordant decisions to prevent long-term morbidity. ChatGPT-5.0 may supp...

Diagnostic performance of AI-assisted intraoperative imaging for parathyroid identification: a systematic review.

BACKGROUND: Intra-operative identification of parathyroid glands might be technically challenging and is a major source of hypocalcemia and nerve inju...

Ultrasound-guided sound speed correction for photoacoustic computed tomography.

Photoacoustic computed tomography (PACT) reconstructs high-resolution images of various chromophores in deep biological tissue. A key to high-quality ...

The Impact of a Neuroradiologist on the Report of a Real-World CT Perfusion Imaging Map Derived from Artificial Intelligence/Machine Learning-Driven Software.

BACKGROUND AND PURPOSE: According to the guideline, CT perfusion should be read and analyzed by using computer-aided software. This study evaluates th...

Constructing fine-grained subcortical atlases with connectional consensus graph representation learning.

Objective.The complex internal organization of subcortical structures forms the foundation of critical neural circuits that support sensorimotor proce...

Development of a quantitative multiparametric ultrasound and deep learning classifier for the detection of prostate cancer.

OBJECTIVES: Prostate cancer (PCa) diagnosis is increasingly guided by imaging, with ultrasound (US) emerging as a cost-effective and widely accessible...

A New Insight into Imaging Diagnosis of Otosclerosis Enhanced by Machine Learning and Radiomics.

Otosclerosis is a disease affecting the middle and inner ear, characterized by abnormal bone remodeling that leads to stapes fixation and progressive ...

DOSTA-Net: Domain-Shuffle Temporal Attention Network for Vessel Extraction in X-Ray Coronary Angiography Using Synthetic Data.

Artery extraction from X-ray coronary angiography (XCA) images is essential for the accurate diagnosis and treatment of coronary artery diseases. Howe...

Incorporating artificial intelligence into imaging for surveillance and diagnosis of liver cancer: Innovations, challenges, and clinical translation.

Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a leading cause of cancer mortality worldwide. Earl...

Veterinary workers report low knowledge of artificial intelligence but positive attitudes toward its adoption in diagnostic imaging and the workplace as a whole.

OBJECTIVE: To describe veterinary workers' knowledge, attitudes, and practices regarding AI in veterinary medicine, with an emphasis on diagnostic ima...

Clinical Validation of Deep Learning-Accelerated versus Wave-CAIPI Postcontrast 3D T1-MPRAGE for Evaluation of Intracranial Enhancing Lesions.

BACKGROUND AND PURPOSE: Deep learning (DL) reconstruction methods have shown promise in accelerating 2D MRI sequences but have yet to be extensively v...

Alzheimer's disease diagnosis support for brain perfusion SPECT scans in a real-world clinical cohort.

BackgroundDementia diagnosis is challenging and often delayed. Brain imaging techniques such as single-photon emission computed tomography (SPECT) ima...