Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of fun...
Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivity
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Publisher
United States: Elsevier Inc
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Language
English
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Publisher
United States: Elsevier Inc
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Contents
•Diagnosis of loss of consciousness (LOC) is intricate, especially in urgent setting.•Functional connectivity-based AI discerned the brain network in various LOC causes.•XAI models revealed key signatures in delta and theta band for LOC classification.•Prospective cohort validation confirmed the reproducibility of the AI models.
Differential dia...
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Full title
Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivity
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TN_cdi_doaj_primary_oai_doaj_org_article_c1121fb2de1c48f498b7e08817c03988
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c1121fb2de1c48f498b7e08817c03988
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ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2024.120749
