Frontiers in Radiology | Artificial Intelligence in Radiology

Original Research

Published on 19 Dec 2025

Ultra-lightweight uncertainty-aware ensemble for large-scale multi-class medical MRI diagnosis

in Artificial Intelligence in Radiology

Sowad Rahman
Fahmid Al Farid
Mahe Zabin
Jia Uddin
Hezerul Abdul Karim

Frontiers in Radiology

doi 10.3389/fradi.2025.1723272

260 views

Original Research

Accepted on 17 Dec 2025

Effective Deep Convolutional Neural Network with Attention Mechanism for Alzheimer Disease Classification

in Artificial Intelligence in Radiology

Sathish Kumar Lakshmanan
Maragatharajan M
Rajesh Kumar Dhanaraj
Aanjankumar Sureshkumar
MD SHOHEL SAYEED
Mohamed Yasin Noor Mohamed
R. Gopal

Frontiers in Radiology

217 views

Original Research

Published on 17 Dec 2025

Diagnosis based image quality assessment and enhancement for low dose CT image

in Artificial Intelligence in Radiology

B. Nirupama
B.S. Dhevdharsan
U. Shreya Reddy
J. Joshan Athanesious
S. Kiruthika

Frontiers in Radiology

doi 10.3389/fradi.2025.1704113

288 views

Review

Accepted on 16 Dec 2025

Applications, Image Analysis, and Interpretation of Computer Vision in Medical Imaging

in Artificial Intelligence in Radiology

Yasunari Matsuzaka
Masayuki Iyoda

Frontiers in Radiology

Original Research

Published on 12 Dec 2025

Construction of a radiomics model based on CT imaging for predicting capsular invasion in thymomas

in Artificial Intelligence in Radiology

Shuo Liang
Yanhong Chen
Jianhui Li
Zhenchun Song
Li Zhou
Rui Yin

Frontiers in Radiology

doi 10.3389/fradi.2025.1707488

280 views

Original Research

Accepted on 08 Dec 2025

Development of a machine learning-based radiomics model of perivascular adipose tissue for predicting stroke risk in patients with asymptomatic carotid stenosis: a multicenter study

in Artificial Intelligence in Radiology

Jinhong Sun
Cheng Ma
Guihan Lin
Weiyue Chen
Weiming Hu
Zhuohang Shi
Ting Zhao
Jie Zhang
Jianhua Wu
Xiongying Yi

Frontiers in Radiology

121 views

Original Research

Accepted on 05 Dec 2025

Development and validation of an interpretable deep learning model for radiographic grading of knee osteoarthritis severity using X-ray imaging

in Artificial Intelligence in Radiology

Zhen Dai
Chengcheng Feng
Meng Ni
Zhi Tang
Fangyue Cheng
Jinling Zhang

Frontiers in Radiology

142 views

Original Research

Published on 04 Dec 2025

U-FDL-PPE: a unified federated deep learning framework with privacy-preserving explainability for early and accurate viral disease prediction

in Artificial Intelligence in Radiology

Anupam Agrawal
Asadi Srinivasulu
Anant Mohan
Ramchand Vedaiyan
Kalavagunta Varshita
K. Vijaya Bhaskar

Frontiers in Radiology

doi 10.3389/fradi.2025.1660479

562 views

Original Research

Published on 04 Dec 2025

H-VIP: quantifying regional topological contributions of the brain network to cognition

in Artificial Intelligence in Radiology

Sumita Garai
Sandra Vo
Lucy Blank
Frederick Xu
Jiong Chen
Duy Duong-Tran
Yize Zhao
Brielin C. Brown
Li Shen

Frontiers in Radiology

doi 10.3389/fradi.2025.1686780

404 views

Review

Accepted on 29 Nov 2025

Robust Radiomics: a review of guidelines for radiomics in medical imaging

in Artificial Intelligence in Radiology

Michele Avanzo
Paolo Soda
Marco Bertolini
Andrea Bettinelli
Tiziana Rancati
Joseph Stancanello
Osvaldo Rampado
Giovanni Pirrone
Annalisa Drigo

Frontiers in Radiology

207 views

Original Research

Published on 25 Nov 2025

Multimodal deep learning model for enhanced early detection of aortic stenosis integrating ECG and chest x-ray with cooperative learning

in Artificial Intelligence in Radiology

Shun Nagai
Makoto Nishimori
Masakazu Shinohara
Hidekazu Tanaka
Hiromasa Otake

Frontiers in Radiology

doi 10.3389/fradi.2025.1698680

667 views

Correction

Published on 24 Nov 2025

Correction: 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.2025.1744006

280 views

Brief Research Report

Published on 20 Nov 2025

A case series of 99mTc-MDP bone scintigraphy (planar and SPECT CT) in mucormycosis in the era of COVID 19

in Artificial Intelligence in Radiology

Vandana Kumar Dhingra
K. Vidhya
Amit Kumar
Amit Kumar Tyagi

Frontiers in Radiology

doi 10.3389/fradi.2025.1683149

422 views

Original Research

Published on 20 Nov 2025

Classifying abnormalities in chest radiographs from Vietnam using deep learning for early detection of cardiopulmonary diseases

in Artificial Intelligence in Radiology

Chiharu Kai
Satoshi Kasai
Rei Teramoto
Akifumi Yoshida
Hideaki Tamori
Satoshi Kondo
Phan Thanh Hai
Nguyen Van Cong
Dinh Minh Tuan
Thai Van Loc

Frontiers in Radiology

doi 10.3389/fradi.2025.1703927

424 views

Original Research

Published on 13 Nov 2025

Synthetic CT generation from CBCT using deep learning for adaptive radiotherapy in prostate cancer

in Artificial Intelligence in Radiology

Mustafa Çağlar
Kerime Selin Ertaş
Mehmet Sıddık Cebe
Ilkay Kara
Navid Kheradmand
Evrim Metcalfe

Frontiers in Radiology

doi 10.3389/fradi.2025.1680803

1,362 views

Review

Published on 07 Nov 2025

Self-supervised learning and transformer-based technologies in breast cancer imaging

in Artificial Intelligence in Radiology

Lulu Wang

Frontiers in Radiology

doi 10.3389/fradi.2025.1684436

1,944 views

Original Research

Published on 04 Nov 2025

Artificial intelligence-assisted accurate diagnosis of anterior cruciate ligament tears using customized CNN and YOLOv9

in Artificial Intelligence in Radiology

Taner Alic
Sinan Zehir
Meryem Yalcinkaya
Emre Deniz
Harun Emre Kiran
Onur Afacan

Frontiers in Radiology

doi 10.3389/fradi.2025.1691048

706 views

Original Research

Published on 31 Oct 2025

High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRI

in Artificial Intelligence in Radiology

Sebastian Gassenmaier
Franziska Katharina Staber
Stephan Ursprung
Judith Herrmann
Sebastian Werner
Andreas Lingg
Lisa C. Adams
Haidara Almansour
Konstantin Nikolaou
Saif Afat

Frontiers in Radiology

doi 10.3389/fradi.2025.1695043

1,022 views

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

1,261 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

870 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

666 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

1,028 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

2,795 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

1,168 views

108 articles

articles

Ultra-lightweight uncertainty-aware ensemble for large-scale multi-class medical MRI diagnosis

Effective Deep Convolutional Neural Network with Attention Mechanism for Alzheimer Disease Classification

Diagnosis based image quality assessment and enhancement for low dose CT image

Applications, Image Analysis, and Interpretation of Computer Vision in Medical Imaging

Construction of a radiomics model based on CT imaging for predicting capsular invasion in thymomas

Development of a machine learning-based radiomics model of perivascular adipose tissue for predicting stroke risk in patients with asymptomatic carotid stenosis: a multicenter study

Development and validation of an interpretable deep learning model for radiographic grading of knee osteoarthritis severity using X-ray imaging

U-FDL-PPE: a unified federated deep learning framework with privacy-preserving explainability for early and accurate viral disease prediction

H-VIP: quantifying regional topological contributions of the brain network to cognition

Robust Radiomics: a review of guidelines for radiomics in medical imaging

Multimodal deep learning model for enhanced early detection of aortic stenosis integrating ECG and chest x-ray with cooperative learning

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

A case series of 99mTc-MDP bone scintigraphy (planar and SPECT CT) in mucormycosis in the era of COVID 19

Classifying abnormalities in chest radiographs from Vietnam using deep learning for early detection of cardiopulmonary diseases

Synthetic CT generation from CBCT using deep learning for adaptive radiotherapy in prostate cancer

Self-supervised learning and transformer-based technologies in breast cancer imaging

Artificial intelligence-assisted accurate diagnosis of anterior cruciate ligament tears using customized CNN and YOLOv9

High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRI

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

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

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

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