Using artificial intelligence‐based technologies to detect c…

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2023
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  • DOI 10.1111/dmcn.15744
  • PMID https://pubmed.ncbi.nlm.nih.gov/37794634
  • OpenAlex ID W4387357521
  • Type Article
  • Language EN
  • Published 04 Oct 2023
  • Volume 66 (2)
  • Pages 226–232
  • Source Developmental Medicine & Child Neurology
  • Publisher Wiley
  • FWCI 2.45
  • Countries 1
  • Institutions 3
  • Added 06 Oct 2023
  • Updated 23 Oct 2026
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Using artificial intelligence‐based technologies to detect clinically relevant changes of gross motor function in children with cerebral palsy

Article 2023 EN

AIM: To compare the 66-item Gross Motor Function Measure (GMFM-66) with the reduced version of the GMFM-66 (rGMFM-66) with respect to the detection of clinically relevant changes in gross motor function in children with cerebral palsy (CP). METHOD: The study was a retrospective single centre analysis of children with CP who participated in a rehabilitation programme. Overall, 1352 pairs of GMFM-66…

12

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22

References

7

Authors

2.45

FWCI

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7 authors
#AuthorInstitutionsORCID
1 Leonie Schafmeyer Corresponding University of Cologne (DE) Klinikum Oldenburg (DE) +1
2 Heike Losch Klinikum Oldenburg (DE) —
3 Christiane Bossier University of Cologne (DE) University Hospital Cologne (DE) —
4 Isabel Lanz University of Cologne (DE) University Hospital Cologne (DE) —
5 Heidrun Lioba Wunram University of Cologne (DE) University Hospital Cologne (DE)
6 Eckhard Schöenau University of Cologne (DE) University Hospital Cologne (DE) —
7 İbrahim Duran University of Cologne (DE) University Hospital Cologne (DE)
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