Frontiers in Neurology | Artificial Intelligence in Neurology

Original Research

Published on 09 May 2024

Machine learning models reveal the critical role of nighttime systolic blood pressure in predicting functional outcome for acute ischemic stroke after endovascular thrombectomy

in Artificial Intelligence in Neurology

Dingkang Xu
Peng Qi
Peng Liu
Hongchun Yang
Gengfan Ye
Dezhi Shan
Shixiong Lei
Guozheng Yang
Junqing Ding
Hui Liang

Frontiers in Neurology

doi 10.3389/fneur.2024.1405668

1,301 views

Original Research

Published on 29 Apr 2024

An exploration on the machine-learning-based stroke prediction model

in Artificial Intelligence in Neurology

Shenshen Zhi
Xiefei Hu
Yan Ding
Huajian Chen
Xun Li
Yang Tao
Wei Li

Frontiers in Neurology

doi 10.3389/fneur.2024.1372431

2,067 views
2 citations

Original Research

Published on 24 Apr 2024

Research on the pathogenesis of Alzheimer's disease based on thalamocortical computational model

in Artificial Intelligence in Neurology

Yijin Gang
Tao Li
Xianjing Xu
Qi Zheng
Weiping Wang

Frontiers in Neurology

doi 10.3389/fneur.2024.1353305

799 views

Mini Review

Published on 17 Apr 2024

Advances in research and application of artificial intelligence and radiomic predictive models based on intracranial aneurysm images

in Artificial Intelligence in Neurology

Zhongjian Wen
Yiren Wang
Yuxin Zhong
Yiheng Hu
Cheng Yang
Yan Peng
Xiang Zhan
Ping Zhou
Zhen Zeng

Frontiers in Neurology

doi 10.3389/fneur.2024.1391382

2,177 views
3 citations

Systematic Review

Published on 02 Apr 2024

Global research trends and hotspots of artificial intelligence research in spinal cord neural injury and restoration—a bibliometrics and visualization analysis

in Artificial Intelligence in Neurology

Guangyi Tao
Shun Yang
Junjie Xu
Linzi Wang
Bin Yang

Frontiers in Neurology

doi 10.3389/fneur.2024.1361235

3,128 views
2 citations

Original Research

Published on 15 Feb 2024

Novel artificial intelligence-based hypodensity detection tool improves clinician identification of hypodensity on non-contrast computed tomography in stroke patients

in Artificial Intelligence in Neurology

Angela Dos Santos
Milanka Visser
Longting Lin
Andrew Bivard
Leonid Churilov
Mark William Parsons

Frontiers in Neurology

doi 10.3389/fneur.2024.1359775

1,251 views

Original Research

Published on 02 Feb 2024

Machine learning-based prediction of mild cognitive impairment among individuals with normal cognitive function

in Artificial Intelligence in Neurology

Xia Wei Zhu
Si Bo Liu
Chen Hua Ji
Jin Jie Liu
Chao Huang

Frontiers in Neurology

doi 10.3389/fneur.2024.1352423

2,426 views
2 citations

Original Research

Published on 24 Jan 2024

Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms

in Artificial Intelligence in Neurology

Yan Peng
Yiren Wang
Zhongjian Wen
Hongli Xiang
Ling Guo
Lei Su
Yongcheng He
Haowen Pang
Ping Zhou
Xiang Zhan

Frontiers in Neurology

doi 10.3389/fneur.2024.1321923

2,277 views
5 citations

Original Research

Published on 11 Jan 2024

The expert's knowledge combined with AI outperforms AI alone in seizure onset zone localization using resting state fMRI

in Artificial Intelligence in Neurology

Payal Kamboj
Ayan Banerjee
Varina L. Boerwinkle
Sandeep K. S. Gupta

Frontiers in Neurology

doi 10.3389/fneur.2023.1324461

3,032 views
1 citation

Original Research

Published on 29 Dec 2023

Strengthening deep-learning models for intracranial hemorrhage detection: strongly annotated computed tomography images and model ensembles

in Artificial Intelligence in Neurology

Dong-Wan Kang
Gi-Hun Park
Wi-Sun Ryu
Dawid Schellingerhout
Museong Kim
Yong Soo Kim
Chan-Young Park
Keon-Joo Lee
Moon-Ku Han
Han-Gil Jeong

Frontiers in Neurology

doi 10.3389/fneur.2023.1321964

2,490 views

Original Research

Published on 21 Dec 2023

Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson’s disease

in Artificial Intelligence in Neurology

Emilie Charlotte Klaver
Irene B. Heijink
Gianluigi Silvestri
Jeroen P. P. van Vugt
Sabine Janssen
Jorik Nonnekes
Richard J. A. van Wezel
Marleen C. Tjepkema-Cloostermans

Frontiers in Neurology

doi 10.3389/fneur.2023.1306129

2,443 views
3 citations

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Articles

Machine learning models reveal the critical role of nighttime systolic blood pressure in predicting functional outcome for acute ischemic stroke after endovascular thrombectomy

An exploration on the machine-learning-based stroke prediction model

Research on the pathogenesis of Alzheimer's disease based on thalamocortical computational model

Advances in research and application of artificial intelligence and radiomic predictive models based on intracranial aneurysm images

Global research trends and hotspots of artificial intelligence research in spinal cord neural injury and restoration—a bibliometrics and visualization analysis

Novel artificial intelligence-based hypodensity detection tool improves clinician identification of hypodensity on non-contrast computed tomography in stroke patients

Machine learning-based prediction of mild cognitive impairment among individuals with normal cognitive function

Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms

The expert's knowledge combined with AI outperforms AI alone in seizure onset zone localization using resting state fMRI

Strengthening deep-learning models for intracranial hemorrhage detection: strongly annotated computed tomography images and model ensembles

Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson’s disease