Radiology

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

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Artificial intelligence for chronic total occlusion percutaneous coronary interventions.

Artificial intelligence (AI) has become pivotal in advancing medical care, particularly in intervent...

May 2025 40359582
Deep Learning-accelerated MRI in Body and Chest.

Deep learning reconstruction (DLR) provides an elegant solution for MR acceleration while preserving...

May 2025 40360272
DEMAC-Net: A Dual-Encoder Multiattention Collaborative Network for Cervical Nerve Pathway and Adjacent Anatomical Structure Segmentation.

OBJECTIVE: Currently, cervical anesthesia is performed using three main approaches: superficial cerv...

May 2025 40368703
Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder.

According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults s...

May 2025 40423258
Innovative Strategies in the Diagnosis and Treatment of Liver Cirrhosis and Associated Syndromes.

Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mort...

May 2025 40430206
A clinically applicable AI system for detection and diagnosis of bone metastases using CT scans.

Manual interpretation of CT images for bone metastasis (BM) detection in primary cancer remains chal...

May 2025 40360470
Deep learning based on ultrasound images to predict platinum resistance in patients with epithelial ovarian cancer.

BACKGROUND: The study aimed at developing and validating a deep learning (DL) model based on the ult...

May 2025 40361149
Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities.

Artificial intelligence (AI) is the most revolutionizing development in the health care industry in ...

May 2025 35027520
Initial Experience With Low-Dose 18F-Fluorodeoxyglucose Positron Emission Tomography/Magnetic Resonance Imaging With Deep Learning Enhancement.

OBJECTIVE: To demonstrate the utility of deep learning enhancement (DLE) to achieve diagnostic quali...

May 2025 34176877
Deep Learning-Based Optical Coherence Tomography and Optical Coherence Tomography Angiography Image Analysis: An Updated Summary.

Deep learning (DL) is a subset of artificial intelligence based on deep neural networks. It has made...

May 2025 34383717
Application of BOLDMRIbased radiomics in differentiating malignant from benign renal tumors.

OBJECTIVES: Blood oxygen level dependent magnetic resonance imaging (BOLD-MRI) is a kind of non-inva...

May 2025 34707012
[Chest radiological lesions in COVID-19 : from classical imaging to artificial intelligence].

In the course of the pandemic induced by the appearance of a new coronavirus (SARS-CoV-2; COVID-19) ...

May 2025 33211427
Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data

Identifying brain hemorrhages from magnetic resonance imaging (MRI) is a critical task for healthc...

Towards user-centered interactive medical image segmentation in VR with an assistive AI agent

Crucial in disease analysis and surgical planning, manual segmentation of volumetric medical scans...

Paradigm-Shifting Attention-based Hybrid View Learning for Enhanced Mammography Breast Cancer Classification with Multi-Scale and Multi-View Fusion.

Breast cancer poses a serious threat to women's health, and its early detection is crucial for enhan...

May 2025 40354201
Baseline [F]FP-CIT PET-based deep learning prediction of levodopa-induced dyskinesia in Parkinson's disease.

We aimed to develop a convolutional neural network (CNN) model with multi-task learning to predict t...

May 2025 40355487
Two-Stage Automatic Liver Classification System Based on Deep Learning Approach Using CT Images.

Alveolar echinococcosis (AE) is a parasitic disease caused by Echinococcus multilocularis, where ear...

May 2025 40355689
Effect of Deep Learning-Based Image Reconstruction on Lesion Conspicuity of Liver Metastases in Pre- and Post-contrast Enhanced Computed Tomography.

The purpose of this study was to investigate the utility of deep learning image reconstruction at me...

May 2025 40355690
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