Frontiers in Neurology | Artificial Intelligence in Neurology

Original Research

Published on 04 Sep 2025

Study on the prediction of short-term clinical changes after cerebral infarction using carotid plaque ultrasound strain elastography

in Artificial Intelligence in Neurology

Mingqiu Li
Shiwen Weng
Qian Song
Huiyu Ge

Frontiers in Neurology

doi 10.3389/fneur.2025.1652157

2,033 views

Original Research

Published on 04 Sep 2025

Automatic differentiation of Parkinson’s disease motor subtypes based on deep learning and radiomics

in Artificial Intelligence in Neurology

Dongming Hui
Xia Wang
Lu Xie
Fengxi Chen
Yi Guo
Yaxi Luo
Xiaojing He

Frontiers in Neurology

doi 10.3389/fneur.2025.1650985

2,074 views
1 citation

Original Research

Published on 29 Aug 2025

PlgFormer: parallel extraction of local-global features for AD diagnosis on sMRI using a unified CNN-transformer architecture

in Artificial Intelligence in Neurology

Guoxin Wang
Yuxia Li
Zhiyi Zhou
Shan An
Xuyang Cao
Yuxin Jin
Zhengqin Sun
Guanqun Chen
Mingkai Zhang
Zhixiong Li

Frontiers in Neurology

doi 10.3389/fneur.2025.1626922

1,674 views

Original Research

Accepted on 28 Aug 2025

Leveraging Named Entity Recognition for Enhanced Meningioma Management: Integrating Imaging and Personalized Medicine Data

in Artificial Intelligence in Neurology

Manli Du Du

Frontiers in Neurology

1,460 views

Review

Published on 26 Aug 2025

Progress of radiomics research on white matter hyperintensity lesions

in Artificial Intelligence in Neurology

Lin Du
Lieping Wang
Gang Shen
Min Zeng
Desheng Li
Weiguo Li

Frontiers in Neurology

doi 10.3389/fneur.2025.1647724

2,462 views
2 citations

Original Research

Published on 21 Aug 2025

Risk factors for postoperative complications after UBE surgery for thoracic spinal stenosis and construction of a nomogram predictive model

in Artificial Intelligence in Neurology

Mingkui Shen
Lulu Wang
Zhongxin Tang
Xiaohu Wang
Hejun Yang

Frontiers in Neurology

doi 10.3389/fneur.2025.1616590

2,974 views
1 citation

Original Research

Published on 20 Aug 2025

Quantitative analysis of gait parameters in Parkinson’s disease and the clinical significance

in Artificial Intelligence in Neurology

Wenchao Yin
Hong Gao
Beichen Liang
Ruichen Liu
Yue Liu
Chenxin Shen
Xiaohui Niu
Cui Wang

Frontiers in Neurology

doi 10.3389/fneur.2025.1527020

1,858 views
2 citations

Original Research

Published on 12 Aug 2025

X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease

in Artificial Intelligence in Neurology

Wenhui Chen
Shunwu Xu
Yiran Peng
Hong Zhang
Jian Zhang
Huaihao Zheng
Hao Yan
Zhaowen Chen

Frontiers in Neurology

doi 10.3389/fneur.2025.1630838

1,490 views

Original Research

Published on 11 Aug 2025

Pose estimation for health data analysis: advancing AI in neuroscience and psychology

in Artificial Intelligence in Neurology

Juan Yu
Daoyu Zhu

Frontiers in Neurology

doi 10.3389/fneur.2025.1596408

3,109 views

Original Research

Published on 31 Jul 2025

High-gamma and beta bursts in the left supramarginal gyrus can differentiate verbal memory states and performance

in Artificial Intelligence in Neurology

Shennan Aibel Weiss
Nicolás Sawczuk
Daniel Y. Rubinstein
Michael R. Sperling
Katrina Wendel-Mitoraj
Päivi Österman
René Dumay-Roscher
Charles B. Mikell
Sima Mofakham
Kelly Coulehan

Frontiers in Neurology

doi 10.3389/fneur.2025.1627528

2,752 views

Mini Review

Published on 28 Jul 2025

Harnessing artificial intelligence for brain disease: advances in diagnosis, drug discovery, and closed-loop therapeutics

in Artificial Intelligence in Neurology

Su-jun Fang
Zhao-di Yin
Qi Cai
Li-fan Li
Peng-fei Zheng
Li-zhen Chen

Frontiers in Neurology

doi 10.3389/fneur.2025.1615523

4,637 views

Original Research

Published on 25 Jul 2025

Predicting cognitive decline in cognitively impaired patients with ischemic stroke with high risk of cerebral hemorrhage: a machine learning approach

in Artificial Intelligence in Neurology

Eun Namgung
Young Sun Kim
Sun U. Kwon
Dong-Wha Kang

Frontiers in Neurology

doi 10.3389/fneur.2025.1569073

2,278 views
1 citation

Original Research

Published on 18 Jul 2025

A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers

in Artificial Intelligence in Neurology

Qian Xu
Feng Ning Liang
Ya Ru Cao
Jin Duan
Teng Cui
Teng Zhao
Hong Zhu

Frontiers in Neurology

doi 10.3389/fneur.2025.1609594

1,561 views

Original Research

Published on 17 Jul 2025

The effect of rTMS intervention with different targets on neural remodeling in stroke patients: a randomized controlled trial

in Artificial Intelligence in Neurology

Li Zhao
Li Chen
Qiu Wang
Xinyi Li
Sha Li
Chunxiao Wan

Frontiers in Neurology

doi 10.3389/fneur.2025.1539393

2,768 views

Review

Published on 16 Jul 2025

Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000

in Artificial Intelligence in Neurology

Yabin Zhang
Lei Yu
Yuting Lv
Tiantian Yang
Qi Guo

Frontiers in Neurology

doi 10.3389/fneur.2025.1607924

7,657 views
5 citations

Original Research

Published on 02 Jul 2025

A deep learning-based image analysis model for automated scoring of horizontal ocular movement disorders

in Artificial Intelligence in Neurology

Xiao-lu Jin
Yu-fei Liu
Bing-bing He
Yi-fei Fan
Ling-yun Zhou

Frontiers in Neurology

doi 10.3389/fneur.2025.1522894

1,979 views
1 citation

Editorial

Published on 20 Jun 2025

Editorial: AI's transformative role in neuro-intervention: enhancing diagnosis and treatment strategies

in Artificial Intelligence in Neurology

Shencai Chen
Donghao Zhang
Fouzi Bala
Hulin Kuang
Aravind Ganesh
Wu Qiu

Frontiers in Neurology

doi 10.3389/fneur.2025.1627547

1,450 views

Original Research

Published on 20 Jun 2025

Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks

in Artificial Intelligence in Neurology

Jiecheng Wu
Ning Su
Xinjin Li
Chao Yao
Jipeng Zhang
Xucheng Zhang
Wei Sun

Frontiers in Neurology

doi 10.3389/fneur.2025.1567344

1,942 views
2 citations

Original Research

Published on 18 Jun 2025

Construction of a risk prediction model for pulmonary infection in patients with spontaneous intracerebral hemorrhage during the recovery phase based on machine learning

in Artificial Intelligence in Neurology

Jixiang Xu
Yuan Li
Fumin Zhu
Xiaoxiao Han
Liang Chen
Yinliang Qi
Xiaomei Zhou

Frontiers in Neurology

doi 10.3389/fneur.2025.1571755

1,875 views

Original Research

Published on 05 Jun 2025

Evaluating the value of machine learning models for predicting hematoma expansion in acute spontaneous intracerebral hemorrhage based on CT imaging features of hematomas and surrounding oedema

in Artificial Intelligence in Neurology

Tianyu Yang
Zhen Zhao
Yan Gu
Shengkai Yang
Yonggang Zhang
Lei Li
Ting Wang
Zhongchang Miao

Frontiers in Neurology

doi 10.3389/fneur.2025.1567525

2,232 views
2 citations

Original Research

Published on 04 Jun 2025

Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis

in Artificial Intelligence in Neurology

Menghui He
Zhongsheng Lu
Yiwei Lv
Zihai Cheng
Qiang Zhang
Xiaoqing Jin
Pei Han

Frontiers in Neurology

doi 10.3389/fneur.2025.1608341

2,909 views
2 citations

Original Research

Published on 04 Jun 2025

The value of Fast Dixon combined with deep learning technology in contrast agent-free high-resolution magnetic resonance imaging of the brachial plexus

in Artificial Intelligence in Neurology

Si Xie
Xuehui Du
Zhitao Zhang
Guangxiang Chen

Frontiers in Neurology

doi 10.3389/fneur.2025.1558927

1,879 views
1 citation

Mini Review

Published on 02 Jun 2025

Research progress in predicting the conversion from mild cognitive impairment to Alzheimer’s disease via multimodal MRI and artificial intelligence

in Artificial Intelligence in Neurology

Min Ai
Yu Liu
Dan Liu
Chengxi Yan
Xia Wang
Xun Chen

Frontiers in Neurology

doi 10.3389/fneur.2025.1596632

4,690 views
3 citations

Original Research

Published on 27 May 2025

Deep learning-based automated segmentation for the quantitative diagnosis of cerebral small vessel disease via multisequence MRI

in Artificial Intelligence in Neurology

Huiyu Zhao
Miaoyi Zhang
Weijun Tang
Luyuan Jin
Jie Tang
Langfeng Shi
Xiao Deng
Jianhui Fu
Weiwen Zou

Frontiers in Neurology

doi 10.3389/fneur.2025.1540923

3,226 views
1 citation

128 articles

articles

Study on the prediction of short-term clinical changes after cerebral infarction using carotid plaque ultrasound strain elastography

Automatic differentiation of Parkinson’s disease motor subtypes based on deep learning and radiomics

PlgFormer: parallel extraction of local-global features for AD diagnosis on sMRI using a unified CNN-transformer architecture

Leveraging Named Entity Recognition for Enhanced Meningioma Management: Integrating Imaging and Personalized Medicine Data

Progress of radiomics research on white matter hyperintensity lesions

Risk factors for postoperative complications after UBE surgery for thoracic spinal stenosis and construction of a nomogram predictive model

Quantitative analysis of gait parameters in Parkinson’s disease and the clinical significance

X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease

Pose estimation for health data analysis: advancing AI in neuroscience and psychology

High-gamma and beta bursts in the left supramarginal gyrus can differentiate verbal memory states and performance

Harnessing artificial intelligence for brain disease: advances in diagnosis, drug discovery, and closed-loop therapeutics

Predicting cognitive decline in cognitively impaired patients with ischemic stroke with high risk of cerebral hemorrhage: a machine learning approach

A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers

The effect of rTMS intervention with different targets on neural remodeling in stroke patients: a randomized controlled trial

Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000

A deep learning-based image analysis model for automated scoring of horizontal ocular movement disorders

Editorial: AI's transformative role in neuro-intervention: enhancing diagnosis and treatment strategies

Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks

Construction of a risk prediction model for pulmonary infection in patients with spontaneous intracerebral hemorrhage during the recovery phase based on machine learning

Evaluating the value of machine learning models for predicting hematoma expansion in acute spontaneous intracerebral hemorrhage based on CT imaging features of hematomas and surrounding oedema

Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis

The value of Fast Dixon combined with deep learning technology in contrast agent-free high-resolution magnetic resonance imaging of the brachial plexus

Research progress in predicting the conversion from mild cognitive impairment to Alzheimer’s disease via multimodal MRI and artificial intelligence

Deep learning-based automated segmentation for the quantitative diagnosis of cerebral small vessel disease via multisequence MRI