Frontiers in Neurology | Artificial Intelligence in Neurology

Original Research

Published on 09 Oct 2024

Interpretable machine learning models for predicting short-term prognosis in AChR-Ab+ generalized myasthenia gravis using clinical features and systemic inflammation index

in Artificial Intelligence in Neurology

Yanan Xu
Qi Li
Meng Pan
Xiao Jia
Wenbin Wang
Qiqi Guo
Liqin Luan

Frontiers in Neurology

doi 10.3389/fneur.2024.1459555

824 views

Original Research

Published on 01 Oct 2024

Predictive modeling of sensory responses in deep brain stimulation

in Artificial Intelligence in Neurology

László Halász
Bastian E. A. Sajonz
Gabriella Miklós
Gijs van Elswijk
Saman Hagh Gooie
Bálint Várkuti
Gertrúd Tamás
Volker A. Coenen
Loránd Erōss

Frontiers in Neurology

doi 10.3389/fneur.2024.1467307

924 views

Original Research

Published on 27 Sep 2024

Multi-task learning for predicting quality-of-life and independence in activities of daily living after stroke: a proof-of-concept study

in Artificial Intelligence in Neurology

Thi Nguyet Que Nguyen
Alejandro García-Rudolph
Joan Saurí
John D. Kelleher

Frontiers in Neurology

doi 10.3389/fneur.2024.1449234

997 views
1 citation

Original Research

Published on 16 Sep 2024

Intelligent analysis and measurement of semicircular canal spatial attitude

in Artificial Intelligence in Neurology

Mi Zhou
Jiesheng Mao
Xiaoqing Li
Yanjun Li
Xiaokai Yang

Frontiers in Neurology

doi 10.3389/fneur.2024.1396513

581 views

Original Research

Published on 09 Sep 2024

Machine learning-based prediction of early neurological deterioration after intravenous thrombolysis for stroke: insights from a large multicenter study

in Artificial Intelligence in Neurology

Rui Wen
Miaoran Wang
Wei Bian
Haoyue Zhu
Ying Xiao
Jing Zeng
Qian He
Yu Wang
Xiaoqing Liu
Yangdi Shi

Frontiers in Neurology

doi 10.3389/fneur.2024.1408457

866 views

Original Research

Published on 02 Sep 2024

Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study

in Artificial Intelligence in Neurology

Yue Zhang
Gang Xie
Lingfeng Zhang
Junlin Li
Wuli Tang
Danni Wang
Ling Yang
Kang Li

Frontiers in Neurology

doi 10.3389/fneur.2024.1413795

1,121 views

Original Research

Published on 30 Aug 2024

Enhancing intracranial efficacy prediction of osimertinib in non-small cell lung cancer: a novel approach through brain MRI radiomics

in Artificial Intelligence in Neurology

Xin Tang
Yuan Li
Wen-Lei Qian
Pei-Lun Han
Wei-Feng Yan
Zhi-Gang Yang

Frontiers in Neurology

doi 10.3389/fneur.2024.1399983

1,006 views

Original Research

Published on 27 Aug 2024

Radiomics based on diffusion tensor imaging and 3D T1-weighted MRI for essential tremor diagnosis

in Artificial Intelligence in Neurology

Bintao Xu
Li Tao
Honge Gui
Pan Xiao
Xiaole Zhao
Hongyu Wang
Huiyue Chen
Hansheng Wang
Fajin Lv
Tianyou Luo

Frontiers in Neurology

doi 10.3389/fneur.2024.1460041

884 views

Original Research

Published on 15 Aug 2024

Dominating Alzheimer's disease diagnosis with deep learning on sMRI and DTI-MD

in Artificial Intelligence in Neurology

Yuxia Li
Guanqun Chen
Guoxin Wang
Zhiyi Zhou
Shan An
Shipeng Dai
Yuxin Jin
Chao Zhang
Mingkai Zhang
Feng Yu

Frontiers in Neurology

doi 10.3389/fneur.2024.1444795

1,928 views
1 citation

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

1,610 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

1,058 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

3,589 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

1,537 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

898 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

1,493 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

1,461 views

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Articles

Interpretable machine learning models for predicting short-term prognosis in AChR-Ab+ generalized myasthenia gravis using clinical features and systemic inflammation index

Predictive modeling of sensory responses in deep brain stimulation

Multi-task learning for predicting quality-of-life and independence in activities of daily living after stroke: a proof-of-concept study

Intelligent analysis and measurement of semicircular canal spatial attitude

Machine learning-based prediction of early neurological deterioration after intravenous thrombolysis for stroke: insights from a large multicenter study

Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study

Enhancing intracranial efficacy prediction of osimertinib in non-small cell lung cancer: a novel approach through brain MRI radiomics

Radiomics based on diffusion tensor imaging and 3D T1-weighted MRI for essential tremor diagnosis

Dominating Alzheimer's disease diagnosis with deep learning on sMRI and DTI-MD

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