Frontiers in Radiology | Artificial Intelligence in Radiology

Original Research

Accepted on 02 Feb 2026

The application of deep neural networks to the detection of lumbar hernias: results from the approaches based on convolutional networks and transformers

in Artificial Intelligence in Radiology

António Fernandes
João Rodriguez
Susana Moleirinho
Irina Trofimenko
Ekaterina Guseva
Alexander Martinovich
Ilzane Morais
Louise Bisolo
Luis Mendes Gomes
José Machado

Frontiers in Radiology

111 views

Editorial

Accepted on 30 Jan 2026

Editorial: "Innovative AI Approaches in Quantitative MRI: From Image Enhancement to Biomarker Estimation"

in Artificial Intelligence in Radiology

Alfonso Mastropietro
Elisa Scalco
Matteo Figini

Frontiers in Radiology

Original Research

Accepted on 28 Jan 2026

Validation and Feasibility of a Deep Learning-Based Reconstruction Technology in 5.0 Tesla Knee Joint MR imaging

in Artificial Intelligence in Radiology

Pan Wang
Zhigang Li
川朱
Ran Mu
Chang Liu
Jing Yang
Lixin Du

Frontiers in Radiology

Original Research

Published on 21 Jan 2026

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

doi 10.3389/fradi.2025.1738298

411 views

Original Research

Accepted on 19 Jan 2026

Automated Segmentation and Classification of Lumbar Transverse Ultrasound Views Using a Two-Stage Deep Learning Method

in Artificial Intelligence in Radiology

Jiangang Chen
Qing Yuan
Qiming Huang
Xueli Wang
Yiyan Xu
Dongpo Wei
Xiuyu Zheng
Caibao HU
Dandan Zhang
Xulei Cui

Frontiers in Radiology

131 views

Review

Accepted on 15 Jan 2026

Can Artificial Intelligence in OrthoPantomography Advance Dental Diagnostics through Automated Image Analysis?

in Artificial Intelligence in Radiology

Dan Adrian Lutescu
Claudiu Constantin Manole
Ana Maria Țâncu
Radu Ilinca
Reinhard, Chun Wang Chau
Szabolcs Felszeghy
Andreea Cristiana Didilescu

Frontiers in Radiology

219 views

Original Research

Published on 14 Jan 2026

Effective deep convolutional neural network with attention mechanism for Alzheimer disease classification

in Artificial Intelligence in Radiology

Sathish Kumar Lakshmanan
Maragatharajan Muthusamy
Rajesh Kumar Dhanaraj
Aanjankumar Sureshkumar
Md Shohel Sayeed
Mohamed Yasin Noor Mohamed
Gopal Rathinam

Frontiers in Radiology

doi 10.3389/fradi.2025.1698760

853 views

Review

Published on 12 Jan 2026

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

doi 10.3389/fradi.2025.1701110

1,200 views

Original Research

Accepted on 09 Jan 2026

Artificial Intelligence and Breast Cancer Screening in Serbia: A Dual-Perspective Qualitative Study Among Radiologists and Screening-Aged Women

in Artificial Intelligence in Radiology

Sofija Jovanović
Jelena Vukićević
Biljana Kilibarda
Marko Milosavljević
Vesna Bjegovic-Mikanovic

Frontiers in Radiology

166 views

Review

Published on 09 Jan 2026

Applications, image analysis, and interpretation of computer vision in medical imaging

in Artificial Intelligence in Radiology

Yasunari Matsuzaka
Masayuki Iyoda

Frontiers in Radiology

doi 10.3389/fradi.2025.1733003

1,401 views

Original Research

Accepted on 05 Jan 2026

Research on Myocardial and Cardiac Chamber Segmentation in Cardiac MR Images Based on DRMGU-Net

in Artificial Intelligence in Radiology

Ning Li
Xianfeng Guo
Jiangshan Cao
Baolong Shi
Bingli Liu
Yifei Wang
Baoqing Yu
Shangjun Huang
Zhu Shuxian

Frontiers in Radiology

164 views

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

810 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

889 views

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

692 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

966 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

729 views
1 citation

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

1,386 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

447 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

755 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

671 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

2,045 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

3,183 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

1,222 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

1,343 views

114 articles

articles

The application of deep neural networks to the detection of lumbar hernias: results from the approaches based on convolutional networks and transformers

Editorial: "Innovative AI Approaches in Quantitative MRI: From Image Enhancement to Biomarker Estimation"

Validation and Feasibility of a Deep Learning-Based Reconstruction Technology in 5.0 Tesla Knee Joint MR imaging

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

Automated Segmentation and Classification of Lumbar Transverse Ultrasound Views Using a Two-Stage Deep Learning Method

Can Artificial Intelligence in OrthoPantomography Advance Dental Diagnostics through Automated Image Analysis?

Effective deep convolutional neural network with attention mechanism for Alzheimer disease classification

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

Artificial Intelligence and Breast Cancer Screening in Serbia: A Dual-Perspective Qualitative Study Among Radiologists and Screening-Aged Women

Applications, image analysis, and interpretation of computer vision in medical imaging

Research on Myocardial and Cardiac Chamber Segmentation in Cardiac MR Images Based on DRMGU-Net

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

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

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

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

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

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

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

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