Radiology

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

16,018 articles
Stay Ahead - Weekly Radiology research updates
Subscribe
Browse Specialties
Showing 1702-1722 of 16,018 articles
Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often un...

Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction.

BACKGROUND: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges f...

Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis.

BACKGROUND AND OBJECTIVES: Accurate classification of lymphadenopathy is essential for determining t...

DML-MFCM: A multimodal fine-grained classification model based on deep metric learning for Alzheimer's disease diagnosis.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder. There are no drugs and methods...

The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini).

Given their potential as natural substitutes for artificial additives and their health advantages, t...

A deep learning approach versus expert clinician panel in the classification of posterior circulation infarction.

BACKGROUND: Posterior circulation infarction (POCI) is common. Imaging techniques such as non-contra...

Clinical validation of artificial intelligence-based single-subject morphometry without normative reference database.

BACKGROUND: Single-subject voxel-based morphometry (VBM) is a powerful technique for reader-independ...

Clinical Application of Deep Learning-Assisted Needles Reconstruction in Prostate Ultrasound Brachytherapy.

PURPOSE: High dose rate (HDR) prostate brachytherapy (BT) procedure requires image-guided needle ins...

Generation of high-resolution MPRAGE-like images from 3D head MRI localizer (AutoAlign Head) images using a deep learning-based model.

PURPOSE: Magnetization prepared rapid gradient echo (MPRAGE) is a useful three-dimensional (3D) T1-w...

A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases.

Neurological disorders, including cerebral vascular occlusions and strokes, present a major global h...

Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by rea...

End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe ...

Improving spleen segmentation in ultrasound images using a hybrid deep learning framework.

This paper introduces a novel method for spleen segmentation in ultrasound images, using a two-phase...

A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort.

Deep learning (DL) methods have demonstrated remarkable effectiveness in assisting with lung cancer ...

Visualizing Preosteoarthritis: Updates on UTE-Based Compositional MRI and Deep Learning Algorithms.

Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as car...

Artificial Intelligence in Radiology: A Leadership Survey.

PURPOSE: Surveys to assess views about artificial intelligence (AI) of various diagnostic radiology ...

A Radiomic-Clinical Model of Contrast-Enhanced Mammography for Breast Cancer Biopsy Outcome Prediction.

RATIONALE AND OBJECTIVES: In the USA over 1 million breast biopsies are performed annually. Approxim...

BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentation.

BACKGROUND AND OBJECTIVE: Accurate segmentation of the prostate region in magnetic resonance imaging...

Browse Specialties