Artificial intelligence algorithms effectively classify 38 movements in infants born full-term and preterm recorded in the laboratory and at home
The AI model accurately classified 38 movements in full-term and preterm infants performed in the laboratory and at home. The age-based sets also highly correlated with the physiotherapists' assessment results.
Authors
- Suh‐Fang Jeng (ORCID: https://orcid.org/0000-0001-6953-8835)
- Jane Yung-jen Hsu (ORCID: https://orcid.org/0000-0002-2408-4603)
- Ting-An Yen
- Yohanes Purwanto
- Chih‐hao Hsieh (ORCID: https://orcid.org/0000-0001-5935-7272)
- Po‐Nien Tsao (ORCID: https://orcid.org/0000-0002-6114-1769)
- Wei‐Chih Liao (ORCID: https://orcid.org/0000-0001-5362-6953)
- Wei J. Chen (ORCID: https://orcid.org/0000-0001-5899-5870)
- Cheng-I Liao (ORCID: https://orcid.org/0000-0001-5086-6871)
- Erick Chandra
Institutions
- National Health Research Institutes (TW)
- National Taiwan University (TW)
- National Taipei University of Nursing and Health Science (TW)
- National Taiwan University Hospital (TW)
- National Taipei University (TW)
Publication Details
- Journal
- Journal of the Formosan Medical Association
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1016/j.jfma.2025.08.008
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00