Frontiers in Neurology | Artificial Intelligence in Neurology

Original Research

Published on 08 Oct 2025

Evaluation of two AI techniques for the detection of new T2/FLAIR lesions in the follow-up of multiple sclerosis patients

in Artificial Intelligence in Neurology

Milica Mastilović
Olivier Heinzlef
Christian Federau
Verónica Muñoz-Ramírez
Marie Blanchere
Jasmina Boban
Francois Cotton
Myriam Edjlali

Frontiers in Neurology

doi 10.3389/fneur.2025.1678073

1,931 views
1 citation

Opinion

Published on 01 Oct 2025

Combined with multimodal medical imaging and artificial intelligence for early diagnosis of Parkinson's disease

in Artificial Intelligence in Neurology

Sitong Lu
Shuang Gui
Chunyun Wang
Yu Liu

Frontiers in Neurology

doi 10.3389/fneur.2025.1650968

2,259 views

Original Research

Published on 26 Sep 2025

Application of algorithms based on improved YOLO in MRI image detection of brain tumors

in Artificial Intelligence in Neurology

Jinghui Chen
Tao Yang
Lianxin Xie
Lanlan Yang
Hongjia Zhao

Frontiers in Neurology

doi 10.3389/fneur.2025.1646476

9,631 views

Original Research

Published on 24 Sep 2025

An explainable CT-based machine learning model integrating carotid plaque and perivascular adipose tissue for predicting symptomatic plaques

in Artificial Intelligence in Neurology

Hanzhe Wang
Jingkai Xu
Chengeng Ye
Aiyun Sun
Kun Tang
Yimin Chen
Zhe Xiao
Shulan Chen
Linfeng Shao
Xiangwu Zheng

Frontiers in Neurology

doi 10.3389/fneur.2025.1679861

2,236 views

Mini Review

Published on 23 Sep 2025

Artificial intelligence in the task of segmentation and classification of brain metastases images: current challenges and future opportunities

in Artificial Intelligence in Neurology

Yiheng Hu
Chao Gao
Yiren Wang
Zhongjian Wen
Cheng Yang
Hairui Deng
Shouying Chen
Yunfei Li
Haowen Pang
Ping Zhou

Frontiers in Neurology

doi 10.3389/fneur.2025.1581422

3,822 views

Original Research

Published on 17 Sep 2025

Machine learning models for mortality prediction in patients with spontaneous subarachnoid hemorrhage following ICU treatment

in Artificial Intelligence in Neurology

Wenwen Hu
Danfeng Yu
Liwen Zhang
Jing Zhang

Frontiers in Neurology

doi 10.3389/fneur.2025.1648353

1,671 views

Brief Research Report

Published on 10 Sep 2025

Federated learning for lesion segmentation in multiple sclerosis: a real-world multi-center feasibility study

in Artificial Intelligence in Neurology

Sarah Hindawi
Bartlomiej Szubstarski
Eric Boernert
Björn Tackenberg
Jens Wuerfel

Frontiers in Neurology

doi 10.3389/fneur.2025.1620469

2,937 views
1 citation

Original Research

Published on 09 Sep 2025

Deep learning-based prediction of cerebral white matter hyperintensity burden using carotid magnetic resonance angiography

in Artificial Intelligence in Neurology

Jiho Lee
Kyu Sung Choi
Seung Hong Choi
Inpyeong Hwang
Taehoon Shin

Frontiers in Neurology

doi 10.3389/fneur.2025.1656705

1,923 views

Original Research

Published on 08 Sep 2025

Development of a radiomics-based model for diagnosis of multiple system atrophy using multimodal MRI

in Artificial Intelligence in Neurology

Zhichao Li
Wei Zhang
Ran Yang
Dong Chen
Xin Li
Kun Wang
Lei Cheng
Heng Yang
Yili Deng

Frontiers in Neurology

doi 10.3389/fneur.2025.1650350

1,954 views

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

1,844 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

1,802 views

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

1,480 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

1,404 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

2,019 views
1 citation

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

2,549 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

1,539 views
1 citation

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

1,342 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

2,398 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

2,445 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

3,939 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

1,970 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

1,369 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

2,519 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

6,633 views
3 citations

113 articles

articles

Evaluation of two AI techniques for the detection of new T2/FLAIR lesions in the follow-up of multiple sclerosis patients

Combined with multimodal medical imaging and artificial intelligence for early diagnosis of Parkinson's disease

Application of algorithms based on improved YOLO in MRI image detection of brain tumors

An explainable CT-based machine learning model integrating carotid plaque and perivascular adipose tissue for predicting symptomatic plaques

Artificial intelligence in the task of segmentation and classification of brain metastases images: current challenges and future opportunities

Machine learning models for mortality prediction in patients with spontaneous subarachnoid hemorrhage following ICU treatment

Federated learning for lesion segmentation in multiple sclerosis: a real-world multi-center feasibility study

Deep learning-based prediction of cerebral white matter hyperintensity burden using carotid magnetic resonance angiography

Development of a radiomics-based model for diagnosis of multiple system atrophy using multimodal MRI

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