Radiology

Emerging trends and research foci of deep learning in spine: bibliometric and visualization study.

As the cognition of spine develops, deep learning (DL) emerges as a powerful tool with tremendous po...

Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level.

Automated ultrasound imaging assessment of the effect of CoronaVirus disease 2019 (COVID-19) on lung...

Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram.

INTRODUCTION: Pulmonary embolism (PE) is a life-threatening condition, in which diagnostic uncertain...

Diagnostic ability of macular microvasculature with swept-source OCT angiography for highly myopic glaucoma using deep learning.

Macular OCT angiography (OCTA) measurements have been reported to be useful for glaucoma diagnostics...

Deep learning-based detection of patients with bone metastasis from Japanese radiology reports.

PURPOSE: Deep learning (DL) is a state-of-the-art technique for developing artificial intelligence i...

A Novel Master-Slave Interventional Surgery Robot with Force Feedback and Collaborative Operation.

In recent years, master-slave vascular robots have been developed to address the problem of radiatio...

A Novel Deep-Learning-Based CADx Architecture for Classification of Thyroid Nodules Using Ultrasound Images.

Nodules of thyroid cancer occur in the cells of the thyroid as benign or malign types. Thyroid sonog...

Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.

OBJECTIVES: To investigate the predictive performance of the deep learning radiomics (DLR) model int...

Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging.

BACKGROUND: Identifying individuals at risk for severe mental illness (SMI) is crucial for preventio...

An ultrasound-based deep learning radiomic model combined with clinical data to predict clinical pregnancy after frozen embryo transfer: a pilot cohort study.

RESEARCH QUESTION: Can a multi-modal fusion model based on ultrasound-based deep learning radiomics ...

Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer.

The objective of this study is to develop a radiomic signature constructed from deep learning featur...

Imaging of Neck Nodes in Head and Neck Cancers - a Comprehensive Update.

Cervical lymph node metastases from head and neck squamous cell cancers significantly reduce disease...

Letter From the Guest Editor - Artificial Intelligence in Radiology.

Robot-Assisted Kyphoplasty versus Fluoroscopy-Assisted Kyphoplasty: A Meta-Analysis of Postoperative Outcomes.

Osteoporotic vertebral compression fractures are the most common manifestation of osteoporosis. Perc...

Automatic segmentation of neurovascular bundle on mri using deep learning based topological modulated network.

PURPOSE: Radiation damage on neurovascular bundles (NVBs) may be the cause of sexual dysfunction aft...

New Horizons: The Potential Role of OpenAI's ChatGPT in Clinical Radiology.

A primer on artificial intelligence in pancreatic imaging.

Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data contain...

New Frontiers in Oncological Imaging With Computed Tomography: From Morphology to Function.

The latest evolutions in Computed Tomography (CT) technology have several applications in oncologica...

A quality-checked and physics-constrained deep learning method to estimate material basis images from single-kV contrast-enhanced chest CT scans.

BACKGROUND: Single-kV CT imaging is one of the primary imaging methods in radiology practices. Howev...

A Practical Guide for AI Algorithm Selection for the Radiology Department.

There is a steadily increasing number of artificial intelligence (AI) tools available and cleared fo...

Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond.

There are many impactful applications of artificial intelligence (AI) in the electronic radiology ro...