Frontiers in Neurology | Artificial Intelligence in Neurology

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

650 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

335 views

Original Research

Accepted on 23 Jul 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

200 views

Original Research

Accepted on 23 Jul 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

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

414 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

662 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

923 views

Original Research

Accepted on 04 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
Dani 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

615 views

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

806 views

Original Research

Accepted on 24 Jun 2025

Pose Estimation for Health Data Analysis: Advancing AI in Neuroscience and Psychology

in Artificial Intelligence in Neurology

Daoyu Zhu

Frontiers in Neurology

doi 10.3389/fneur.2025.1596408

382 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

687 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

712 views

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

792 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

1,255 views

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

1,347 views

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

731 views