Frontiers in Radiology | Artificial Intelligence in Radiology

Original Research

Accepted on 17 Jul 2025

The value of CT texture analysis in predicting mitotic activity and morphological variants of adrenocortical carcinoma

in Artificial Intelligence in Radiology

Natalya Tarbaeva
Almaz Manaev
Kseniya Ivashchenko
Nadegda Platonova
Dmitry Beltsevich
Nano Pachuashvili
Liliya Urusova
Natalya Mokrysheva

Frontiers in Radiology

doi 10.3389/fradi.2025.1635425

Original Research

Accepted on 14 Jul 2025

WaveAttention-ResNet: A Deep Learning-based Intelligent Diagnostic Model for the Auxiliary Diagnosis of Multiple Retinal Diseases

in Artificial Intelligence in Radiology

Biao Guo
Daqing Wang
Ruiqi Zhang
Jia Hou
Wenchao Liu
Yongfei Wu
Xudong Yang
Lijuan Zhang

Frontiers in Radiology

doi 10.3389/fradi.2025.1608052

135 views

Editorial

Accepted on 11 Jul 2025

Editorial: Artificial intelligence in radiology and radiation oncology

in Artificial Intelligence in Radiology

Curtise K.C. Ng
Vincent W.S. Leung

Frontiers in Radiology

doi 10.3389/fradi.2025.1657119

710 views

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

344 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

1,959 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

1,035 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

1,090 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

1,967 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

2,151 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

1,413 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

1,200 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

1,191 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

1,439 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

2,015 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

1,694 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

2,962 views
3 citations