Artificial Intelligence–Based Video Assessment of Neonatal State
This case series study evaluates the accuracy of an automated video tool for monitoring neonatal states and tracking developmental changes.
Authors
- Monami Nishio (ORCID: https://orcid.org/0009-0005-1723-262X)
- Shoi Shi (ORCID: https://orcid.org/0000-0001-6942-4889)
- Yuka Wada (ORCID: https://orcid.org/0000-0001-5277-9624)
- Rie Miyata (ORCID: https://orcid.org/0000-0002-1040-4936)
- N. Takeda (ORCID: https://orcid.org/0000-0003-1088-2492)
- Yushi Ito (ORCID: https://orcid.org/0000-0002-8614-1052)
- Tetsuya Isayama
Institutions
- University of Tsukuba (JP)
- National Center For Child Health and Development (JP)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-01-23
- DOI
- https://doi.org/10.1001/jamanetworkopen.2024.55948
- Primary Topic
- Infant Development and Preterm Care
- Type
- article
- Field-Weighted Citation Impact
- 0.00