Frontiers in Neurology | Artificial Intelligence in Neurology

Original Research

Accepted on 25 Dec 2025

Utilizing prior-data fitted networks and in-context learning: a transformer-based tabular foundation model for predicting symptomatic intracranial hemorrhage after successful recanalization

in Artificial Intelligence in Neurology

Zheng Li
Jiayue Zhang
Chengbing Wang
Wang Hui
Penglun Sun
Fenglin Chen
Xiaohua Shi
ZhongXin Xu

Frontiers in Neurology

Original Research

Accepted on 23 Dec 2025

Artificial Intelligence in Glioma Research: A Bibliometric Analysis of Global Trends, Hotspots, and Future Directions

in Artificial Intelligence in Neurology

Da Shao
Shulei Lou
Yunsheng Liu
Zengwei Kou

Frontiers in Neurology

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

Original Research

Accepted on 22 Dec 2025

Machine Learning in Developing a Predictive Model for Chronic Hydrocephalus Following Aneurysmal Subarachnoid Hemorrhage

in Artificial Intelligence in Neurology

Rao Dai
enxi xu
Lixiang Zhang
zehui wang
bowen liu
Lu Siyuan
xiuhong shan
Eryi Sun

Frontiers in Neurology

Original Research

Accepted on 22 Dec 2025

AI-Driven Integration of Imaging and Radiology Language Improves Stroke Mortality Prediction

in Artificial Intelligence in Neurology

Albara Alotaibi
Abdalla Moustafa
Laith Abualloush

Frontiers in Neurology

154 views

Original Research

Accepted on 19 Dec 2025

Deep Transfer Learning and Explainable AI Framework for Autism Spectrum Disorder Detection Across Multiple Datasets

in Artificial Intelligence in Neurology

Shtwai Alsubai

Frontiers in Neurology

128 views

Original Research

Accepted on 16 Dec 2025

Development of an Interpretable Machine Learning Model for Predicting Venous Thromboembolism in Intensive Care Unit Patients with Intracerebral Hemorrhage

in Artificial Intelligence in Neurology

Menghui He
Wenyan Liu
Zhongsheng Lu
Yiwei Lv
Qiang Zhang
Xiaoqing Jin
Pei Han

Frontiers in Neurology

Original Research

Accepted on 15 Dec 2025

Assessing the effectiveness of Machine Learning and Deep Learning in differentiating neuroimmunological diseases: a systematic review and meta-analysis

in Artificial Intelligence in Neurology

David Petrosian
Natasa Giedraitiene
Rasa Kizliatienė
Dalius Jatuzis
Gintaras Kaubrys
Mantas Vaisvilas

Frontiers in Neurology

253 views

Original Research

Accepted on 12 Dec 2025

Explainable Machine Learning for Stroke Risk Prediction: A Comparative Study with SHAP-Based Interpretation

in Artificial Intelligence in Neurology

Xiaoyu Tang
Min Tang
Wu Liu
Shaoyang Cui

Frontiers in Neurology

188 views

Study Protocol

Accepted on 12 Dec 2025

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

128 views

Original Research

Accepted on 10 Dec 2025

Automatic and standardized reporting of perioperative MRIs in patients with central nervous system tumors

in Artificial Intelligence in Neurology

David Bouget
Mathilde Gajda Faanes
Asgeir S Jakola
Frederik Barkhof
Hilko Ardon
Lorenzo Bello
Mitchel S. Berger
Shawn L. Hervey-Jumper
Julia Furtner
Albert J.S Idema

Frontiers in Neurology

102 views

Original Research

Accepted on 08 Dec 2025

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

141 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

608 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

868 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

809 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

549 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

780 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

1,475 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

1,293 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

634 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

1,422 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

1,653 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

1,652 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

1,531 views

113 articles

articles

Utilizing prior-data fitted networks and in-context learning: a transformer-based tabular foundation model for predicting symptomatic intracranial hemorrhage after successful recanalization

Artificial Intelligence in Glioma Research: A Bibliometric Analysis of Global Trends, Hotspots, and Future Directions

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

Machine Learning in Developing a Predictive Model for Chronic Hydrocephalus Following Aneurysmal Subarachnoid Hemorrhage

AI-Driven Integration of Imaging and Radiology Language Improves Stroke Mortality Prediction

Deep Transfer Learning and Explainable AI Framework for Autism Spectrum Disorder Detection Across Multiple Datasets

Development of an Interpretable Machine Learning Model for Predicting Venous Thromboembolism in Intensive Care Unit Patients with Intracerebral Hemorrhage

Assessing the effectiveness of Machine Learning and Deep Learning in differentiating neuroimmunological diseases: a systematic review and meta-analysis

Explainable Machine Learning for Stroke Risk Prediction: A Comparative Study with SHAP-Based Interpretation

Protocol for a Randomized Controlled Trial Evaluating the Artificial Intelligence Health Education Accurately Linking System in Patients with Mild-to-Moderate Stroke

Automatic and standardized reporting of perioperative MRIs in patients with central nervous system tumors

Development and Validation of a Clinical Model for Predicting 90-Day Outcomes after Endovascular Therapy with Adjunctive Tirofiban in Acute Ischemic Stroke

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