Radiology

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

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Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.

Given the relationship between hippocampal atrophy and cognitive impairment in various pathological ...

Apr 2025 40143669
Artificial Intelligence in Cardiology: General Perspectives and Focus on Interventional Cardiology.

Artificial intelligence (AI) is being intensively applied to cardiology, particularly in diagnostics...

Apr 2025 40151850
Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence.

Purpose To develop and evaluate a free-breathing, highly accelerated, multisection, single-beat cine...

Apr 2025 40178397
Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.

Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...

Apr 2025 40197097
AUGUR-AIM: Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer.

AIM: Recent randomized controlled trials and meta-analyses have demonstrated a reduction in the anas...

Apr 2025 40230324
Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.

This document defines the key considerations for developing and reporting an artificial intelligence...

Apr 2025 40232134
Multisequence 3-T Image Synthesis from 64-mT Low-Field-Strength MRI Using Generative Adversarial Networks in Multiple Sclerosis.

Background Portable low-field-strength (64-mT) MRI scanners show promise for increasing access to ne...

Apr 2025 40261176
Deep Learning-based Quantitative CT Myocardial Perfusion Imaging and Risk Stratification of Coronary Artery Disease.

Background Precise assessment of myocardial ischemia burden and cardiovascular risk stratification b...

Apr 2025 40298595
Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports.

Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, ...

Apr 2025 40167432
Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer, with most cases diagnosed a...

Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography

Accurate correspondence matching in coronary angiography images is crucial for reconstructing 3D c...

Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models

Accurate and quick diagnosis of normal brain tissue Glioma, Meningioma, and Pituitary Tumors is cr...

Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology

Effective physician-patient communications in pre-diagnostic environments, and most specifically i...

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

We propose a novel approach that adapts hierarchical vision foundation models for real-time ultras...

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach

The spatial properties of the solar magnetic field are crucial to decoding the physical processes ...

An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation

Accurate evaluation of regional lung ventilation is essential for the management and treatment of ...

OncoReg: Medical Image Registration for Oncological Challenges

In modern cancer research, the vast volume of medical data generated is often underutilised due to...

Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach

Non-human primates (NHPs) serve as critical models for understanding human brain function and neur...

Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions

In this work, we introduce MedAgentSim, an open-source simulated clinical environment with doctor,...

EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation

Advances in deep learning have significantly enhanced medical image analysis, yet the availability...

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