Original Research
Published on 01 Oct 2024
Predictive modeling of sensory responses in deep brain stimulation
in Artificial Intelligence in Neurology
Frontiers in Neurology
doi 10.3389/fneur.2024.1467307
- 1,213 views
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26 articles
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1449234
- 1,516 views
- 2 citations
Original Research
Published on 16 Sep 2024
Intelligent analysis and measurement of semicircular canal spatial attitude
in Artificial Intelligence in Neurology
Frontiers in Neurology
doi 10.3389/fneur.2024.1396513
- 866 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
Frontiers in Neurology
doi 10.3389/fneur.2024.1408457
- 1,219 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
Frontiers in Neurology
doi 10.3389/fneur.2024.1413795
- 1,391 views
- 5 citations
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1399983
- 1,251 views
- 1 citation
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1460041
- 1,090 views
- 1 citation
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1444795
- 2,375 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
Frontiers in Neurology
doi 10.3389/fneur.2024.1442025
- 1,927 views
- 4 citations
Original Research
Published on 16 Jul 2024
Ischemic perfusion radiomics: assessing neurological impairment in acute ischemic stroke
in Artificial Intelligence in Neurology
Frontiers in Neurology
doi 10.3389/fneur.2024.1441055
- 1,313 views
Mini Review
Published on 10 Jul 2024
Artificial intelligence in ischemic stroke images: current applications and future directions
in Artificial Intelligence in Neurology
Frontiers in Neurology
doi 10.3389/fneur.2024.1418060
- 5,353 views
- 4 citations
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1394210
- 2,176 views
- 2 citations
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1398142
- 1,066 views
- 2 citations
Original Research
Published on 19 Jun 2024
Decoding Wilson disease: a machine learning approach to predict neurological symptoms
in Artificial Intelligence in Neurology
Frontiers in Neurology
doi 10.3389/fneur.2024.1418474
- 1,852 views
- 2 citations
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1371332
- 1,892 views
- 1 citation
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
Frontiers in Neurology
doi 10.3389/fneur.2024.1405668
- 1,558 views
- 2 citations