Agreement Between the Gross Motor Ability Estimator-3 and th…
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- DOI 10.3390/jcm14134512
- PMID https://pubmed.ncbi.nlm.nih.gov/40648886
- PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/12250408
- OpenAlex ID W4411698209
- Type Article
- Language EN
- Published 25 Jun 2025
- Volume 14 (13)
- Pages 4512
- Source Journal of Clinical Medicine
- Publisher Multidisciplinary Digital Publishin…
- Countries 1
- Institutions 2
- Added 10 Oct 2025
- Updated 28 Oct 2026
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Agreement Between the Gross Motor Ability Estimator-3 and the Reduced Gross Motor Function Measure-66 Based on Artificial Intelligence
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Background: The reduced Gross Motor Function Measure-66 (rGMFM-66) has already demonstrated its validity compared to the standard GMFM-66 using the Gross Motor Ability Estimator-2 (GMAE-2). This study aimed to evaluate its validity using the updated Gross Motor Ability Estimator-3 (GMAE-3) and to compare agreement between GMFM-66v2 and GMFM-66v3. Methods: A retrospective analysis was conducted on…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Stefanie Steven | University of Cologne (DE) University Hospital Cologne (DE) | |
| 2 | Carlotta Müller | University of Cologne (DE) University Hospital Cologne (DE) | — |
| 3 | Karoline Spiess | University of Cologne (DE) University Hospital Cologne (DE) | |
| 4 | Christiane Bossier | University of Cologne (DE) University Hospital Cologne (DE) | — |
| 5 | Eckhard Schönaü | University of Cologne (DE) University Hospital Cologne (DE) | |
| 6 | İbrahim Duran Corresponding | University of Cologne (DE) University Hospital Cologne (DE) |
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