Frontiers in Neurology | Artificial Intelligence in Neurology

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

5,868 views
14 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

8,106 views
17 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

2,533 views
1 citation

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

4,098 views
10 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

4,594 views
14 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

4,547 views
11 citations

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

4,663 views
10 citations

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

4,329 views
11 citations

128 articles

articles

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