Evaluating pediatric peripheral neuromuscular disorders using deep neural networks on electrodiagnostic data

Incorporating neural networks into diagnostic workflows could enhance decision-making, especially in scenarios requiring reassessment or complementary investigations.

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Publication Details

Journal
Clinical Neurophysiology Practice
Published
2025-01-01
DOI
https://doi.org/10.1016/j.cnp.2025.08.001
Citations
1
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.67
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article

Evaluating pediatric peripheral neuromuscular disorders using deep neural networks on electrodiagnostic data

L. Nastasi, J. Deeb, Gerald Cooray, Daniyal Motan
1 citations
Clinical Neurophysiology Practice
Muscle activation and electromyography studies
0.67
article

Evaluating pediatric peripheral neuromuscular disorders using deep neural networks on electrodiagnostic data

L. Nastasi, J. Deeb, Gerald Cooray, Daniyal Motan
article en
1 citations

Abstract

Incorporating neural networks into diagnostic workflows could enhance decision-making, especially in scenarios requiring reassessment or complementary investigations.

Clinical Neurophysiology PracticeVol. 10
Great Ormond Street Hospital (GB), Karolinska Institutet (SE), Queen's Hospital (GB), University College London (GB)
Openalex Percentile: Top 26%
Muscle activation and electromyography studies
0.67
DOIOpen Access PDFOpenAlex
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