Frontiers in Neurology | Artificial Intelligence in Neurology

Study Protocol

Published on 07 Jan 2026

Protocol for a randomized controlled trial evaluating the artificial intelligence health education accurately linking system in patients with mild-to-moderate stroke

in Artificial Intelligence in Neurology

Zhixia Liu
Yun-Hua Li
Yuan Fang
Huili Wang
Tao Wu
Shu Liu
Yanming Yang
Yangyang Qin
Xiaoge Tao
Jing Mao

Frontiers in Neurology

doi 10.3389/fneur.2025.1737297

996 views

Original Research

Published on 05 Jan 2026

Development and validation of a clinical model for predicting 90-day outcomes after endovascular therapy with adjunctive tirofiban in acute ischemic stroke

in Artificial Intelligence in Neurology

Minghui Du
Hanye Yuan
Tianhao Zhang
Zhuqing Luan
Hongchun Wei
Zhongwen Sun
Denglu Liu
Zhigang Liang

Frontiers in Neurology

doi 10.3389/fneur.2025.1729880

834 views

Original Research

Accepted on 23 Dec 2025

NLF-YOLO:A Lightweight Neuro-Fusion Detector for Emotion-Related Brain Tumor Imaging

in Artificial Intelligence in Neurology

Linxi Li
Yang Li
Zhicong Ding
Zhengnan Yin
Wengang Che

Frontiers in Neurology

167 views

Study Protocol

Published on 03 Dec 2025

Developing a machine learning model to assist in predicting treatment success in children with drug-resistant epilepsy

in Artificial Intelligence in Neurology

Achmad Rafli
Wisnu Ananta Kusuma
Setyo Handryastuti
Irawan Mangunatmadja
Rahmad Mulyadi
Aria Kekalih
Anggi Gayatri
Elisabeth Herini

Frontiers in Neurology

doi 10.3389/fneur.2025.1701755

1,112 views

Original Research

Published on 02 Dec 2025

Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach

in Artificial Intelligence in Neurology

Cheng-fang Chen
Zhan-yun Ren
Hui-hua Zong
Yi-tong Xiong
Yu Hong

Frontiers in Neurology

doi 10.3389/fneur.2025.1678815

1,305 views

Systematic Review

Published on 01 Dec 2025

Application of machine learning approaches to predict seizure-onset zones in patients with drug-resistant epilepsy: a systematic review

in Artificial Intelligence in Neurology

Ali Haider Bangash
M. Michael Bercu
Richard W. Byrne
Spriha Pavuluri
Afshin Salehi

Frontiers in Neurology

doi 10.3389/fneur.2025.1687144

1,368 views

Original Research

Published on 27 Nov 2025

Development of a multimodal model combining radiomics and deep learning to predict malignant cerebral edema after endovascular thrombectomy

in Artificial Intelligence in Neurology

Jiayi Hong
Jiahong Fu
Feifan Liu
Yuhan Chen
Yujie Shen
Yan Li
Sheng Hu
Jingjing Fu

Frontiers in Neurology

doi 10.3389/fneur.2025.1716443

870 views

Original Research

Published on 13 Nov 2025

Assessment of functional decline in stroke patients using 3D deep learning and dynamic functional connectivity based on resting-state fMRI

in Artificial Intelligence in Neurology

Yingying Gao
Guojun Xu
Jie Peng
Chengbin Han
Shifei Wu
Minmin Wang
Hewei Wang
Zhiyong Zhao

Frontiers in Neurology

doi 10.3389/fneur.2025.1666991

1,005 views

Original Research

Published on 13 Nov 2025

Machine learning-enhanced causal inference of surgical decisions and rehabilitation strategies in traumatic brain injury

in Artificial Intelligence in Neurology

Elyas Irankhah
Madhavi Pagare
Lokesh Chetla
Jiabin Shen
Mohammad Arif Ul Alam
Kelilah L. Wolkowicz

Frontiers in Neurology

doi 10.3389/fneur.2025.1685335

1,894 views

Original Research

Published on 06 Nov 2025

Using artificial intelligence and radiomics to analyze imaging features of neurodegenerative diseases

in Artificial Intelligence in Neurology

Qixuan Sun
Fang Wang

Frontiers in Neurology

doi 10.3389/fneur.2025.1624867

1,594 views

Review

Accepted on 20 Oct 2025

AI-Driven Digital Therapeutics in Screening, Diagnosis and Intervention of Autism Spectrum Disorder: Prospects and Challenges

in Artificial Intelligence in Neurology

Zi Wang
Yi Chen
Hong-yi Zhangben

Frontiers in Neurology

876 views

Original Research

Published on 14 Oct 2025

Augmenting early stroke diagnosis with an eye-tracker

in Artificial Intelligence in Neurology

Mohamed Abul Hassan
Yan Zhuang
Mohammad Shifat-E-Rabbi
Chad M. Aldridge
Andrew M. Southerland
Gustavo K. Rohde

Frontiers in Neurology

doi 10.3389/fneur.2025.1632939

1,740 views

Original Research

Published on 13 Oct 2025

Intracranial aneurysm segmentation on digital subtraction angiography: a retrospective and multi-center study

in Artificial Intelligence in Neurology

Ruibo Liu
Ruixuan Zhang
Wei Qian
Guobiao Liang
Guangxin Chu
Hai Jin
Ligang Chen
Jing Li
He Ma

Frontiers in Neurology

doi 10.3389/fneur.2025.1646517

1,965 views

Original Research

Published on 09 Oct 2025

Association between white matter structural damage and cognitive impairment in patients with cerebral small vessel disease based on TBSS technology

in Artificial Intelligence in Neurology

Qingqing Zheng
YaXi Luo
Yunchun Wang
Chengxi Yan
GuoWei Zhou
Min Ai

Frontiers in Neurology

doi 10.3389/fneur.2025.1647129

1,925 views

Original Research

Published on 09 Oct 2025

Automatic diagnosis of type 2 diabetes mellitus with mild cognitive impairment using artificial intelligence based on routine T1-weighted MRI

in Artificial Intelligence in Neurology

Chang Li
Jun Zhang
Bo Xue
Yuwei Xia
Feng Shi
Xingyan Le
Junbang Feng
Peng Chen
Chuanming Li

Frontiers in Neurology

doi 10.3389/fneur.2025.1599793

1,877 views

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

2,192 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

2,624 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

9,941 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

2,506 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

4,419 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

1,892 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

3,332 views
3 citations

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

2,243 views
1 citation

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

2,315 views

128 articles

articles

Protocol for a randomized controlled trial evaluating the artificial intelligence health education accurately linking system in patients with mild-to-moderate stroke

Development and validation of a clinical model for predicting 90-day outcomes after endovascular therapy with adjunctive tirofiban in acute ischemic stroke

NLF-YOLO:A Lightweight Neuro-Fusion Detector for Emotion-Related Brain Tumor Imaging

Developing a machine learning model to assist in predicting treatment success in children with drug-resistant epilepsy

Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach

Application of machine learning approaches to predict seizure-onset zones in patients with drug-resistant epilepsy: a systematic review

Development of a multimodal model combining radiomics and deep learning to predict malignant cerebral edema after endovascular thrombectomy

Assessment of functional decline in stroke patients using 3D deep learning and dynamic functional connectivity based on resting-state fMRI

Machine learning-enhanced causal inference of surgical decisions and rehabilitation strategies in traumatic brain injury

Using artificial intelligence and radiomics to analyze imaging features of neurodegenerative diseases

AI-Driven Digital Therapeutics in Screening, Diagnosis and Intervention of Autism Spectrum Disorder: Prospects and Challenges

Augmenting early stroke diagnosis with an eye-tracker

Intracranial aneurysm segmentation on digital subtraction angiography: a retrospective and multi-center study

Association between white matter structural damage and cognitive impairment in patients with cerebral small vessel disease based on TBSS technology

Automatic diagnosis of type 2 diabetes mellitus with mild cognitive impairment using artificial intelligence based on routine T1-weighted MRI

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