Frontiers in Radiology | Artificial Intelligence in Radiology

Original Research

Published on 09 Jul 2025

Assessing the consistency of CT-based ventilation imaging under noise reduction processing with simulated quantum noise using a nonrigid alveoli phantom

in Artificial Intelligence in Radiology

Shin Miyakawa
Hiraku Fuse
Kenji Yasue
Norikazu Koori
Masato Takahashi
Hiroki Nosaka
Shunsuke Moriya
Fumihiro Tomita
Tatsuya Fujisaki

Frontiers in Radiology

doi 10.3389/fradi.2025.1567267

235 views

Review

Published on 23 May 2025

Use of artificial intelligence in the management of stroke: scoping review

in Artificial Intelligence in Radiology

Nicolas Melo Sierra
Erwin Hernando Hernández Rincón
Gabriela Alejandra Osorio Betancourt
Paula Andrea Ramos Chaparro
Diana Marcela Diaz Quijano
Samuel David Barbosa
Michel Hernandez Restrepo
Gustavo Uriza Sinisterra

Frontiers in Radiology

doi 10.3389/fradi.2025.1593397

1,859 views

Original Research

Published on 09 May 2025

Diagnostic precision of a deep learning algorithm for the classification of non-contrast brain CT reports

in Artificial Intelligence in Radiology

Hamza Eren Güzel
Göktuğ Aşcı
Oytun Demirbilek
Tuğçe Doğa Özdemir
Pelin Berfin Erekli

Frontiers in Radiology

doi 10.3389/fradi.2025.1509377

989 views

Original Research

Published on 25 Mar 2025

Deep learning-based automated segmentation and quantification of the dural sac cross-sectional area in lumbar spine MRI

in Artificial Intelligence in Radiology

George Ghobrial
Christian Roth

Frontiers in Radiology

doi 10.3389/fradi.2025.1503625

1,029 views

Editorial

Published on 29 Jan 2025

Editorial: Artificial intelligence applications for cancer diagnosis in radiology

in Artificial Intelligence in Radiology

Abhirup Banerjee
Hongming Shan
Ruibin Feng

Frontiers in Radiology

doi 10.3389/fradi.2025.1493783

1,936 views
1 citation

Review

Published on 13 Jan 2025

Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors

in Artificial Intelligence in Radiology

Eric W. Prince
David M. Mirsky
Todd C. Hankinson
Carsten Görg

Frontiers in Radiology

doi 10.3389/fradi.2024.1433457

2,068 views

Original Research

Published on 19 Dec 2024

DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers

in Artificial Intelligence in Radiology

Luc Lerch
Lukas S. Huber
Amith Kamath
Alexander Pöllinger
Aurélie Pahud de Mortanges
Verena C. Obmann
Florian Dammann
Walter Senn
Mauricio Reyes

Frontiers in Radiology

doi 10.3389/fradi.2024.1420545

1,380 views
3 citations

Editorial

Published on 17 Dec 2024

Editorial: Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors

in Artificial Intelligence in Radiology

Brandon K. K. Fields
Bino A. Varghese
George R. Matcuk

Frontiers in Radiology

doi 10.3389/fradi.2024.1523389

1,170 views

Original Research

Published on 16 Dec 2024

Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network

in Artificial Intelligence in Radiology

Kiaran P. McGee
Yi Sui
Robert J. Witte
Ananya Panda
Norbert G. Campeau
Thomaz R. Mostardeiro
Nahil Sobh
Umberto Ravaioli
Shuyue (Lucia) Zhang
Kianoush Falahkheirkhah

Frontiers in Radiology

doi 10.3389/fradi.2024.1498411

1,163 views

Original Research

Published on 11 Dec 2024

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network

in Artificial Intelligence in Radiology

Jakov Ivan S. Dumbrique
Reynan B. Hernandez
Juan Miguel L. Cruz
Ryan M. Pagdanganan
Prospero C. Naval

Frontiers in Radiology

doi 10.3389/fradi.2024.1424065

1,406 views

Original Research

Published on 27 Nov 2024

Language task-based fMRI analysis using machine learning and deep learning

in Artificial Intelligence in Radiology

Elaine Kuan
Viktor Vegh
John Phamnguyen
Kieran O’Brien
Amanda Hammond
David Reutens

Frontiers in Radiology

doi 10.3389/fradi.2024.1495181

1,877 views

Original Research

Published on 21 Nov 2024

SenseCare: a research platform for medical image informatics and interactive 3D visualization

in Artificial Intelligence in Radiology

Guotai Wang
Qi Duan
Tian Shen
Shaoting Zhang

Frontiers in Radiology

doi 10.3389/fradi.2024.1460889

1,646 views

Review

Published on 05 Sep 2024

Artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors

in Artificial Intelligence in Radiology

Paniz Sabeghi
Ketki K. Kinkar
Gloria del Rosario Castaneda
Liesl S. Eibschutz
Brandon K. K. Fields
Bino A. Varghese
Dakshesh B. Patel
Ali Gholamrezanezhad

Frontiers in Radiology

doi 10.3389/fradi.2024.1332535

2,875 views
3 citations

Original Research

Published on 29 Aug 2024

Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks

in Artificial Intelligence in Radiology

Rajat Vashistha
Viktor Vegh
Hamed Moradi
Amanda Hammond
Kieran O’Brien
David Reutens

Frontiers in Radiology

doi 10.3389/fradi.2024.1466498

1,752 views
1 citation

Original Research

Published on 05 Jul 2024

ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language

in Artificial Intelligence in Radiology

Philipp Fervers
Robert Hahnfeldt
Jonathan Kottlors
Anton Wagner
David Maintz
Daniel Pinto dos Santos
Simon Lennartz
Thorsten Persigehl

Frontiers in Radiology

doi 10.3389/fradi.2024.1390774

2,693 views
7 citations

Original Research

Published on 04 Jun 2024

Automated intracranial vessel segmentation of 4D flow MRI data in patients with atherosclerotic stenosis using a convolutional neural network

in Artificial Intelligence in Radiology

Patrick Winter
Haben Berhane
Jackson E. Moore
Maria Aristova
Teresa Reichl
Julian Wollenberg
Adam Richter
Kelly B. Jarvis
Abhinav Patel
Fan Z. Caprio

Frontiers in Radiology

doi 10.3389/fradi.2024.1385424

3,478 views
1 citation