Frontiers in Radiology | Artificial Intelligence in Radiology

Original Research

Published on 28 Oct 2025

A systematic review and meta-analysis of GPT-based differential diagnostic accuracy in radiological cases: 2023–2025

in Artificial Intelligence in Radiology

Daniel Nguyen
Isaac Bronson
Ryan Chen
Young H. Kim

Frontiers in Radiology

doi 10.3389/fradi.2025.1670517

2,067 views

Original Research

Published on 24 Oct 2025

Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scans

in Artificial Intelligence in Radiology

Theo Di Piazza
Carole Lazarus
Olivier Nempont
Loic Boussel

Frontiers in Radiology

doi 10.3389/fradi.2025.1672364

1,065 views

Original Research

Published on 24 Oct 2025

Feasibility of artificial intelligence-assisted fast magnetic resonance imaging technology in the ankle joint injury: a comparison of the proton density-weighted image

in Artificial Intelligence in Radiology

Sihan Xu
Wenjuan Cao
Luyi Wang
Pangxing Guo
Yuhai Cao
Honghai Chen

Frontiers in Radiology

doi 10.3389/fradi.2025.1673619

1,166 views

Original Research

Published on 14 Oct 2025

YOLOv8-Seg: a deep learning approach for accurate classification of osteoporotic vertebral fractures

in Artificial Intelligence in Radiology

Feng Yang
Yuchen Qian
Heting Xiao
Zhiheng Gao
Xuewen Zhao
Yuwei Chen
Haifu Sun
Yonggang Li
Yu Wang
Lingjie Wang

Frontiers in Radiology

doi 10.3389/fradi.2025.1651798

1,383 views

Original Research

Published on 16 Sep 2025

The evolution of artificial intelligence technology in non-alcoholic fatty liver disease

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

3,614 views

Original Research

Published on 09 Sep 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

1,444 views

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

1,201 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

1,459 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

7,159 views
9 citations

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

1,834 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

2,385 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

1,368 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

5,193 views
4 citations

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

2,510 views
2 citations

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

3,648 views
2 citations

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

3,407 views
2 citations

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

3,879 views
7 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

2,740 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

1,979 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

2,054 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

3,212 views
1 citation

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

4,566 views
1 citation

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

3,042 views
10 citations

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

5,205 views
9 citations

114 articles

articles

A systematic review and meta-analysis of GPT-based differential diagnostic accuracy in radiological cases: 2023–2025

Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scans

Feasibility of artificial intelligence-assisted fast magnetic resonance imaging technology in the ankle joint injury: a comparison of the proton density-weighted image

YOLOv8-Seg: a deep learning approach for accurate classification of osteoporotic vertebral fractures

The evolution of artificial intelligence technology in non-alcoholic fatty liver disease

Intervertebral disc anomaly intelligent classification system based on deep learning, IDAICS

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

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

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

WaveAttention-ResNet: a deep learning-based intelligent diagnostic model for the auxiliary diagnosis of multiple retinal diseases

Editorial: Artificial intelligence in radiology and radiation oncology

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

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

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

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

Editorial: Artificial intelligence applications for cancer diagnosis in radiology

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

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

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

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

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

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

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

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