Radiology

The application of generative neural radiance fields in medical imaging: A systematic review.

BACKGROUND: Generative neural radiance fields (GNeRF) extend NeRF with adversarial, variational, and...

Image reconstruction and elongation artifact reduction for a dual-panel dedicated prostate PET scanner.

BACKGROUND: The development of PET scanners dedicated to high temporal and spatial resolution organ-...

Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence-Computer-Aided Diagnosis for Breast Cancer Screening.

OBJECTIVE: To compare two breast cancer screening strategies, digital mammography (DM) plus radiolog...

Deep learning-based lung volume estimation with dynamic chest radiography.

BACKGROUND: Dynamic chest radiography (DCR) is a recently developed low-dose pulmonary functional im...

Functional and Clinical: An Explainable Deep Learning Model for Multimodal Alzheimer's Disease Classification.

PURPOSE: Functional magnetic resonance imaging (fMRI) and deep learning models can classify Alzheime...

Monitoring the lateral ventricles in the presence of intracranial hemorrhage using automated dual segmentation.

BACKGROUND: Segmentation of intracranial hemorrhage (ICH) alongside the brain's ventricles can provi...

A segmentation method with a large vision model for magnetic resonance imaging-guided adaptive radiotherapy.

BACKGROUND: Segmentation is the most effort-consuming step for magnetic resonance imaging guided ada...

The Intelligent Needle: The Role of Artificial Intelligence in Ultrasound-guided Regional Anesthesia.

The integration of artificial intelligence (AI) into ultrasound-guided regional anesthesia (UGRA) ma...

Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications.

Photoacoustic imaging (PAI), a modality that combines the high contrast of optical imaging with the ...

Automatic lymphedema segmentation in T2-STIR MRI using an unsupervised clustering method.

PURPOSE: To develop and evaluate an unsupervised artificial intelligence (AI)-based method for the a...

Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation.

OBJECTIVES: This study developed an automated AI-based method for accurate image reconstruction, ste...

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 ...

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 cl...

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 reco...

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 b...

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 i...

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

OBJECTIVE: Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease...

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 ess...

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

BACKGROUND: Intra-operative identification of parathyroid glands might be technically challenging an...

Ultrasound-guided sound speed correction for photoacoustic computed tomography.

Photoacoustic computed tomography (PACT) reconstructs high-resolution images of various chromophores...