Frontiers in Neurology | Artificial Intelligence in Neurology

Clinical Trial

Published on 26 Feb 2025

Effects of intermittent theta burst stimulation on upper limb motor recovery in early stroke patients: an fNIRS study

in Artificial Intelligence in Neurology

Menghui Liu
Chunxiao Wan
Chunyan Wang
Xinyi Li

Frontiers in Neurology

doi 10.3389/fneur.2025.1542827

191 views

Systematic Review

Accepted on 24 Feb 2025

Exploring the Potential of Machine Learning and Magnetic Resonance Imaging in Early Stroke Diagnosis: A Bibliometric Analysis (2004-2023)

in Artificial Intelligence in Neurology

Jian-cheng Lou
Xiao-Fen Yu
Jian-Jun Ying
Da-Qiao Song
Wen-Hua Xiong

Frontiers in Neurology

doi 10.3389/fneur.2025.1505533

Original Research

Published on 18 Feb 2025

A comparative study of methods for dynamic survival analysis

in Artificial Intelligence in Neurology

Wieske K. de Swart
Marco Loog
Jesse H. Krijthe

Frontiers in Neurology

doi 10.3389/fneur.2025.1504535

295 views

Original Research

Accepted on 14 Feb 2025

Early Prediction of Alzheimer's Disease Using Artificial Intelligence and Cortical Features on T1WI Sequences

in Artificial Intelligence in Neurology

Rong Zeng
Beisheng Yang
Faqi Wu
Huan Liu
Xiaojia Wu
Lin Tang
Rao Song
Qingqing Zheng
Xia Wang
Dajing Guo

Frontiers in Neurology

doi 10.3389/fneur.2025.1552940

115 views

Original Research

Published on 10 Feb 2025

Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging

in Artificial Intelligence in Neurology

Juliette Moreau
Laura Mechtouff
David Rousseau
Omer Faruk Eker
Yves Berthezene
Tae-Hee Cho
Carole Frindel

Frontiers in Neurology

doi 10.3389/fneur.2025.1434334

379 views

Systematic Review

Published on 05 Feb 2025

Effects of virtual reality technology on early mobility in critically ill adult patients: a systematic review and meta-analysis

in Artificial Intelligence in Neurology

Yansha He
Qin Yang
Xiaoxia Dai
Tian Chen
Huan Wu
Kunjie Li
Shiqiong Zhu
Yanlin Liu
Hua Lei

Frontiers in Neurology

doi 10.3389/fneur.2024.1469079

654 views

Original Research

Published on 29 Jan 2025

Magnetic resonance imaging-based deep learning for predicting subtypes of glioma

in Artificial Intelligence in Neurology

Zhen Yang
Peng Zhang
Yi Ding
Liyi Deng
Tong Zhang
Yong Liu

Frontiers in Neurology

doi 10.3389/fneur.2025.1518815

460 views

Systematic Review

Published on 27 Jan 2025

A bibliometric analysis of studies on artificial intelligence in neuroscience

in Artificial Intelligence in Neurology

Ugur Tekin
Murat Dener

Frontiers in Neurology

doi 10.3389/fneur.2025.1474484

603 views

Original Research

Published on 24 Jan 2025

Evaluation of Siemens Healthineers’ StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke

in Artificial Intelligence in Neurology

Lynnet-Samuel J. Teichmann
Ahmed A. Khalil
Kersten Villringer
Jochen B. Fiebach
Stefan Huwer
Eli Gibson
Ivana Galinovic

Frontiers in Neurology

doi 10.3389/fneur.2025.1518477

768 views

Original Research

Published on 13 Jan 2025

A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study

in Artificial Intelligence in Neurology

Zhongping Guo
Ying Liu
Jingxu Xu
Chencui Huang
Fandong Zhang
Chongchang Miao
Yonggang Zhang
Mengshuang Li
Hangsheng Shan
Yan Gu

Frontiers in Neurology

doi 10.3389/fneur.2024.1480792

486 views

Original Research

Published on 07 Jan 2025

Prediction of clinical efficacy of acupuncture intervention on upper limb dysfunction after ischemic stroke based on machine learning: a study driven by DSA diagnostic reports data

in Artificial Intelligence in Neurology

Yaning Liu
Yuqi Tang
Zechen Li
Pei Yu
Jing Yuan
Lichuan Zeng
Can Wang
Su Li
Ling Zhao

Frontiers in Neurology

doi 10.3389/fneur.2024.1441886

449 views

Original Research

Published on 06 Jan 2025

Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases

in Artificial Intelligence in Neurology

W. L. Yang
X. R. Su
S. Li
K. Y. Zhao
Q. Yue

Frontiers in Neurology

doi 10.3389/fneur.2024.1474461

548 views

Original Research

Published on 13 Dec 2024

Deep learning-based multiclass segmentation in aneurysmal subarachnoid hemorrhage

in Artificial Intelligence in Neurology

Julia Kiewitz
Orhun Utku Aydin
Adam Hilbert
Marie Gultom
Anouar Nouri
Ahmed A. Khalil
Peter Vajkoczy
Satoru Tanioka
Fujimaro Ishida
Nora F. Dengler

Frontiers in Neurology

doi 10.3389/fneur.2024.1490216

638 views

Systematic Review

Published on 09 Dec 2024

Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review

in Artificial Intelligence in Neurology

Milad Yousefi
Matin Akhbari
Zhina Mohamadi
Shaghayegh Karami
Hediyeh Dasoomi
Alireza Atabi
Seyed Amirali Sarkeshikian
Mahdi Abdoullahi Dehaki
Hesam Bayati
Negin Mashayekhi

Frontiers in Neurology

doi 10.3389/fneur.2024.1413071

1,873 views
3 citations

Systematic Review

Published on 05 Dec 2024

The application of artificial intelligence in diagnosis of Alzheimer’s disease: a bibliometric analysis

in Artificial Intelligence in Neurology

Xiaoqiong An
Jun He
Bin Bi
Gang Wu
Jianwei Xu
Wenfeng Yu
Zhenkui Ren

Frontiers in Neurology

doi 10.3389/fneur.2024.1510729

1,763 views

Original Research

Published on 04 Dec 2024

Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination

in Artificial Intelligence in Neurology

Marc Garbey
Quentin Lesport
Helen Girma
Gülşen Öztosun
Mohammed Abu-Rub
Amanda C. Guidon
Vern Juel
Richard J. Nowak
Betty Soliven
Inmaculada Aban

Frontiers in Neurology

doi 10.3389/fneur.2024.1474884

1,097 views

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Articles

Effects of intermittent theta burst stimulation on upper limb motor recovery in early stroke patients: an fNIRS study

Exploring the Potential of Machine Learning and Magnetic Resonance Imaging in Early Stroke Diagnosis: A Bibliometric Analysis (2004-2023)

A comparative study of methods for dynamic survival analysis

Early Prediction of Alzheimer's Disease Using Artificial Intelligence and Cortical Features on T1WI Sequences

Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging

Effects of virtual reality technology on early mobility in critically ill adult patients: a systematic review and meta-analysis

Magnetic resonance imaging-based deep learning for predicting subtypes of glioma

A bibliometric analysis of studies on artificial intelligence in neuroscience

Evaluation of Siemens Healthineers’ StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke

A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study

Prediction of clinical efficacy of acupuncture intervention on upper limb dysfunction after ischemic stroke based on machine learning: a study driven by DSA diagnostic reports data

Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases

Deep learning-based multiclass segmentation in aneurysmal subarachnoid hemorrhage

Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review

The application of artificial intelligence in diagnosis of Alzheimer’s disease: a bibliometric analysis

Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination