Original Research

Published on 25 Jul 2024

Automated identification of thrombectomy amenable vessel occlusion on computed tomography angiography using deep learning

in Artificial Intelligence in Neurology

Jung Hoon Han
Sue Young Ha
Hoyeon Lee
Gi-Hun Park
Hotak Hong
Dongmin Kim
Jae Guk Kim
Joon-Tae Kim
Leonard Sunwoo
Chi Kyung Kim

Frontiers in Neurology

doi 10.3389/fneur.2024.1442025

1,278 views
1 citation

Original Research

Published on 16 Jul 2024

Ischemic perfusion radiomics: assessing neurological impairment in acute ischemic stroke

in Artificial Intelligence in Neurology

Jiaxi Lu
Mazen M. Yassin
Yingwei Guo
Yingjian Yang
Fengqiu Cao
Jiajing Fang
Asim Zaman
Haseeb Hassan
Xueqiang Zeng
Xiaoqiang Miao

Frontiers in Neurology

doi 10.3389/fneur.2024.1441055

829 views

Mini Review

Published on 10 Jul 2024

Artificial intelligence in ischemic stroke images: current applications and future directions

in Artificial Intelligence in Neurology

Ying Liu
Zhongjian Wen
Yiren Wang
Yuxin Zhong
Jianxiong Wang
Yiheng Hu
Ping Zhou
Shengmin Guo

Frontiers in Neurology

doi 10.3389/fneur.2024.1418060

2,245 views

Original Research

Published on 04 Jul 2024

Depressive and mania mood state detection through voice as a biomarker using machine learning

in Artificial Intelligence in Neurology

Jun Ji
Wentian Dong
Jiaqi Li
Jingzhu Peng
Chaonan Feng
Rujia Liu
Chuan Shi
Yantao Ma

Frontiers in Neurology

doi 10.3389/fneur.2024.1394210

1,087 views

Original Research

Published on 25 Jun 2024

Validation and refinement of a predictive nomogram using artificial intelligence: assessing in-hospital mortality in patients with large hemispheric cerebral infarction

in Artificial Intelligence in Neurology

Jian Ding
Xiaoming Ma
Wendie Huang
Chunxian Yue
Geman Xu
Yumei Wang
Shiying Sheng
Meng Liu
Yi Ren

Frontiers in Neurology

doi 10.3389/fneur.2024.1398142

694 views

Original Research

Published on 19 Jun 2024

Decoding Wilson disease: a machine learning approach to predict neurological symptoms

in Artificial Intelligence in Neurology

Yulong Yang
Gang-Ao Wang
Shuzhen Fang
Xiang Li
Yufeng Ding
Yuqi Song
Wei He
Zhihong Rao
Ke Diao
Xiaolei Zhu

Frontiers in Neurology

doi 10.3389/fneur.2024.1418474

1,176 views

Review

Published on 18 Jun 2024

An analysis of stimulation methods used in rehabilitation equipment for children with cerebral palsy

in Artificial Intelligence in Neurology

Cunxiao Guo
Yongdan Cun
Bo Xia
Suyu Chen
Can Zhang
Yiping Chen
Exian Shan
Pengyue Zhang
Xiantao Tai

Frontiers in Neurology

doi 10.3389/fneur.2024.1371332

1,120 views

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

1,059 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

1,650 views
1 citation

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

696 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

1,758 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

2,453 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

1,083 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

2,209 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

1,933 views
4 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

2,768 views
1 citation

Navigation group

Articles

Automated identification of thrombectomy amenable vessel occlusion on computed tomography angiography using deep learning

Ischemic perfusion radiomics: assessing neurological impairment in acute ischemic stroke

Artificial intelligence in ischemic stroke images: current applications and future directions

Depressive and mania mood state detection through voice as a biomarker using machine learning

Validation and refinement of a predictive nomogram using artificial intelligence: assessing in-hospital mortality in patients with large hemispheric cerebral infarction

Decoding Wilson disease: a machine learning approach to predict neurological symptoms

An analysis of stimulation methods used in rehabilitation equipment for children with cerebral palsy

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