Frontiers in Neurology | Artificial Intelligence in Neurology

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

1,783 views

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

1,305 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

1,664 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

1,706 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

1,990 views
1 citation

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

2,610 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

1,656 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

4,142 views
1 citation

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

2,892 views

Mini Review

Published on 16 May 2025

Research progress of artificial intelligence in moyamoya disease

in Artificial Intelligence in Neurology

Huimin Huang
Ning Zheng
Lei Feng
Shuo Shao

Frontiers in Neurology

doi 10.3389/fneur.2025.1581338

2,825 views
2 citations

Systematic Review

Published on 13 May 2025

Performance of deep learning models for automatic histopathological grading of meningiomas: a systematic review and meta-analysis

in Artificial Intelligence in Neurology

Parsia Noori Mirtaheri
Matin Akhbari
Farnaz Najafi
Hoda Mehrabi
Ali Babapour
Zahra Rahimian
Amirhossein Rigi
Saeid Rahbarbaghbani
Hesam Mobaraki
Sanaz Masoumi

Frontiers in Neurology

doi 10.3389/fneur.2025.1536751

4,350 views
7 citations

Original Research

Published on 12 May 2025

Automatic collateral quantification in acute ischemic stroke using U2-net

in Artificial Intelligence in Neurology

Qingqing Lu
Hongyi Chen
Junyan Fu
Xiaodong Zheng
Yiren Xu
Yuning Pan

Frontiers in Neurology

doi 10.3389/fneur.2025.1502382

1,731 views
2 citations

Original Research

Published on 09 May 2025

Migraine triggers, phases, and classification using machine learning models

in Artificial Intelligence in Neurology

Anusha Reddy
Ajit Reddy

Frontiers in Neurology

doi 10.3389/fneur.2025.1555215

3,882 views
1 citation

Original Research

Published on 07 May 2025

Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit

in Artificial Intelligence in Neurology

Heshan Cao
Junying Wei
Ping Hua
Songran Yang

Frontiers in Neurology

doi 10.3389/fneur.2025.1513732

3,571 views
1 citation

Original Research

Published on 29 Apr 2025

Detecting emotional disorder with eye movement features in sports watching

in Artificial Intelligence in Neurology

Wei Qiang
Lin Yang
Xucheng Zhang
Na Liu
Yanyong Wang
Jipeng Zhang
Yixin Long
Weiwei Xu
Wei Sun

Frontiers in Neurology

doi 10.3389/fneur.2025.1562785

1,925 views

Original Research

Published on 15 Apr 2025

Longitudinal alterations in morphological brain networks and cognitive function in common-type COVID-19: a 3-month follow-up study

in Artificial Intelligence in Neurology

Ying Liu
Bei Peng
Haixia Qin
Kaixuan Zhou
Shihuan Lin
Yinqi Lai
Lingyan Liang
Gaoxiong Duan
Xiaocheng Li
Xiaoyan Zhou

Frontiers in Neurology

doi 10.3389/fneur.2025.1549195

1,568 views
1 citation

Opinion

Published on 02 Apr 2025

Artificial intelligence in neurology, ethics, recent guideline, and law-an Indian perspective

in Artificial Intelligence in Neurology

Tithishri Kundu
Mainak Bardhan

Frontiers in Neurology

doi 10.3389/fneur.2025.1515041

3,090 views
2 citations

Opinion

Published on 01 Apr 2025

Transforming long-term adjunctive therapy for cognitive impairment: the role of multimodal self-adaptive digital medicine

in Artificial Intelligence in Neurology

Dong Wen
Yihao Xing
Yiduo Yao
Guangjin Liang
Yijie Xing
Tzyy-Ping Jung
Hao Yu
Xueguang Xie
Xianglong Wan
Tiange Liu

Frontiers in Neurology

doi 10.3389/fneur.2025.1571817

1,853 views

Original Research

Published on 19 Mar 2025

Identifying depression with mixed features: the potential value of eye-tracking features

in Artificial Intelligence in Neurology

Xing-Chang Liu
Ming Chen
Yu-Jia Ji
Hong-Bei Chen
Yu-Qiao Lin
Zhen Xiao
Qiao-Yan Guan
Wan-Qi Ou
Yue-Ya Wang
Qiao-Ling Xiao

Frontiers in Neurology

doi 10.3389/fneur.2025.1555630

2,861 views
1 citation

Systematic Review

Published on 14 Mar 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

2,403 views
1 citation

Original Research

Published on 12 Mar 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

2,164 views

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

3,320 views
4 citations

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

3,835 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

1,772 views

113 articles

articles

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

Research progress of artificial intelligence in moyamoya disease

Performance of deep learning models for automatic histopathological grading of meningiomas: a systematic review and meta-analysis

Automatic collateral quantification in acute ischemic stroke using U2-net

Migraine triggers, phases, and classification using machine learning models

Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit

Detecting emotional disorder with eye movement features in sports watching

Longitudinal alterations in morphological brain networks and cognitive function in common-type COVID-19: a 3-month follow-up study

Artificial intelligence in neurology, ethics, recent guideline, and law-an Indian perspective

Transforming long-term adjunctive therapy for cognitive impairment: the role of multimodal self-adaptive digital medicine

Identifying depression with mixed features: the potential value of eye-tracking features

Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004–2023)

Early prediction of Alzheimer’s disease using artificial intelligence and cortical features on T1WI sequences

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

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