Frontiers in Radiology | Artificial Intelligence in Radiology

Editorial

Published on 03 Sep 2025

Editorial: Towards precision oncology: assessing the role of radiomics and artificial intelligence

in Artificial Intelligence in Radiology

Salvatore Claudio Fanni
Damiano Caruso
Lorenzo Faggioni
Emanuele Neri
Dania Cioni

Frontiers in Radiology

doi 10.3389/fradi.2025.1676229

299 views

Original Research

Accepted on 28 Aug 2025

The Evolution of Artificial Intelligence Technology in Non-alcoholic Fatty Liver Disease (NAFLD)

in Artificial Intelligence in Radiology

Jiawen He
Yao Wu
Zhiyong Lin
Ruohong He
Li Zhuo
Yingying Li

Frontiers in Radiology

doi 10.3389/fradi.2025.1634165

199 views

Original Research

Accepted on 25 Aug 2025

Intervertebral Disc Anomaly Intelligent Classification System Based on Deep Learning, IDAICS

in Artificial Intelligence in Radiology

Zhiheng Gao
Yuchen Qian
Rongkang Fan
Yuqing Yang
Yu Wang
Lei Xing
Yu Chen
Yonggang Li
Haifu Sun
Yusen Qiao

Frontiers in Radiology

doi 10.3389/fradi.2025.1646008

221 views

Original Research

Published on 07 Aug 2025

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

in Artificial Intelligence in Radiology

N. V. Tarbaeva
A. V. Manaev
K. V. Ivashchenko
N. M. Platonova
D. G. Beltsevich
N. V. Pachuashvili
L. S. Urusova
N. G. Mokrysheva

Frontiers in Radiology

doi 10.3389/fradi.2025.1635425

655 views

Review

Published on 05 Aug 2025

Explainable AI in medicine: challenges of integrating XAI into the future clinical routine

in Artificial Intelligence in Radiology

Tim Räz
Aurélie Pahud De Mortanges
Mauricio Reyes

Frontiers in Radiology

doi 10.3389/fradi.2025.1627169

1,597 views

Original Research

Published on 29 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

739 views

Editorial

Published on 23 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

1,239 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

661 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

2,769 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

1,423 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

1,508 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

2,298 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

2,550 views
2 citations

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

1,747 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

1,374 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

1,419 views