Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke.

Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute is...

Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation.

Thyroid nodules occur in up to 68% of people, 95% of which are benign. Of the 5% of malignant nodule...

Physics-informed deep learning for T2-deblurred superresolution turbo spin echo MRI.

PURPOSE: Deep learning superresolution (SR) is a promising approach to reduce MRI scan time without ...

Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learning.

PURPOSE: To evaluate the effectiveness of automated liver segmental volume quantification and calcul...

Chronic thromboembolic pulmonary hypertension: realising the potential of multimodal management.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare complication of acute pulmonary embo...

Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors.

BACKGROUND AND PURPOSE: Magnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan...

How artificial intelligence is reshaping the autonomy and boundary work of radiologists. A qualitative study.

The application of artificial intelligence (AI) in medical practice is spreading, especially in tech...

Usefulness of real-time navigation using intraoperative ultrasonography for rectal cancer resection.

INTRODUCTION: At our institute, we usually perform robot-assisted surgery for rectal cancer as minim...

Enhanced breast mass mammography classification approach based on pre-processing and hybridization of transfer learning models.

BACKGROUND AND OBJECTIVE: The second most prevalent cause of death among women is now breast cancer,...

The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation.

OBJECTIVE: The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DL...

Neuroendoscopy-Assisted Minimal Invasive Management of Chiari 1 Malformation.

 The aim this study is to present the results of the minimal invasive neuroendoscopic-assisted syst...

The auxiliary diagnosis of thyroid echogenic foci based on a deep learning segmentation model: A two-center study.

OBJECTIVE: The aim of this study is to develop AI-assisted software incorporating a deep learning (D...

Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.

INTRODUCTION: The aim of this study was to develop a pipeline using state-of-the-art deep learning m...

Deep Learning Segmentation of the Nucleus Basalis of Meynert on 3T MRI.

BACKGROUND AND PURPOSE: The nucleus basalis of Meynert is a key subcortical structure that is import...

Fetal MRI: what's new? A short review.

Fetal magnetic resonance imaging (fetal MRI) is usually performed as a second-level examination foll...

Robotic Interventional Neuroradiology: Progress, Challenges, and Future Prospects.

Advances in robotic technology have improved standard techniques in numerous surgical and endovascul...

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