Frontiers in Neurology | Artificial Intelligence in Neurology

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

259 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

276 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

356 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

472 views

Original Research

Accepted on 14 Jan 2025

A Comparative Study of Methods for Dynamic Survival Analysis

in Artificial Intelligence in Neurology

Wieske De Swart
Marco Loog
Jesse Krijthe

Frontiers in Neurology

doi 10.3389/fneur.2025.1504535

Original Research

Accepted on 13 Jan 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

156 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

354 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

295 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

382 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

508 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

1,418 views

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

1,310 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

894 views

Original Research

Published on 24 Oct 2024

Analyzing public discourse of dementia from Spanish and English tweets: a comparative analysis with other neurological disorders

in Artificial Intelligence in Neurology

Javier Domingo-Espiñeira
Óscar Fraile-Martínez
Cielo García Montero
Francisco Jesus Lara Abelenda
Jesús Porta-Etessam
Laura Baras Pastor
Leticia I. Muñoz-Manchado
María Arrieta
Mahdieh Saeidi
Miguel A. Ortega

Frontiers in Neurology

doi 10.3389/fneur.2024.1459578

902 views

Original Research

Published on 16 Oct 2024

Identification of middle cerebral artery stenosis in transcranial Doppler using a modified VGG-16

in Artificial Intelligence in Neurology

Dong Xu
Hao Li
Fanghui Su
Sizheng Qiu
Huixia Tong
Meifeng Huang
Jianzhong Yao

Frontiers in Neurology

doi 10.3389/fneur.2024.1394435

597 views

Review

Published on 11 Oct 2024

Harnessing artificial intelligence for the diagnosis and treatment of neurological emergencies: a comprehensive review of recent advances and future directions

in Artificial Intelligence in Neurology

Majd A. AbuAlrob
Boulenouar Mesraoua

Frontiers in Neurology

doi 10.3389/fneur.2024.1485799

2,761 views

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Articles

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 Comparative Study of Methods for Dynamic Survival Analysis

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

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

Analyzing public discourse of dementia from Spanish and English tweets: a comparative analysis with other neurological disorders

Identification of middle cerebral artery stenosis in transcranial Doppler using a modified VGG-16

Harnessing artificial intelligence for the diagnosis and treatment of neurological emergencies: a comprehensive review of recent advances and future directions