An artificial intelligence model for Lhermitte’s sign in patients with pediatric-onset multiple sclerosis: A follow-up study

Spinal imaging with AI-based programs can be used at least as much as brain magnetic resonance imaging (MRI) for early diagnosis, prognosis and treatment response. We have for the first time investigated LS in a large sample of patients with POMS. It is, however, recommended to conduct further multicenter studies to more specifically identify LS in patients with POMS.

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Publication Details

Journal
Advances in Clinical and Experimental Medicine
Published
2025-02-12
DOI
https://doi.org/10.17219/acem/196466
Citations
1
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
1.47
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article

An artificial intelligence model for Lhermitte’s sign in patients with pediatric-onset multiple sclerosis: A follow-up study

Halil Güllüoğlu, Egemen İdıman, Fethi İdiman, Turan Poyraz et al.
1 citations
Advances in Clinical and Experimental Medicine
Multiple Sclerosis Research Studies
1.47
article

An artificial intelligence model for Lhermitte’s sign in patients with pediatric-onset multiple sclerosis: A follow-up study

Halil Güllüoğlu, Egemen İdıman, Fethi İdiman, Turan Poyraz, Hasan Armağan Uysal
article en
1 citations

Abstract

Spinal imaging with AI-based programs can be used at least as much as brain magnetic resonance imaging (MRI) for early diagnosis, prognosis and treatment response. We have for the first time investigated LS in a large sample of patients with POMS. It is, however, recommended to conduct further multicenter studies to more specifically identify LS in patients with POMS.

Advances in Clinical and Experimental MedicineVol. 34(2)
Izmir University (TR), İzmir University of Economics (TR), Dokuz Eylül University (TR)
Openalex Percentile: Top 23%
Multiple Sclerosis Research Studies
1.47
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