Published on in Vol 6 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40463, first published
.
![Iterative Development, Validation, and Certification of a Smartphone System to Assess Neonatal Jaundice: Development and Usability Study Iterative Development, Validation, and Certification of a Smartphone System to Assess Neonatal Jaundice: Development and Usability Study](https://asset.jmir.pub/assets/f1ca99cde2bc56dfeee476d277e8e011.png 480w,https://asset.jmir.pub/assets/f1ca99cde2bc56dfeee476d277e8e011.png 960w,https://asset.jmir.pub/assets/f1ca99cde2bc56dfeee476d277e8e011.png 1920w,https://asset.jmir.pub/assets/f1ca99cde2bc56dfeee476d277e8e011.png 2500w)
Journals
- Kihara T, Sugihara T, Ikeda S, Matsuki Y, Koda H, Onoyama T, Takata T, Nagahara T, Isomoto H. Identification and Quantification of Jaundice by Trans-Conjunctiva Optical Imaging Using a Human Brain-like Algorithm: A Cross-Sectional Study. Diagnostics 2023;13(10):1767 View
- Jiménez-Díaz G, Aune A, Elizarrarás-Rivas J, Gierman L, Keitsch M, Marcuzzi A, Infanti J. Neonatal jaundice detection in low-resource Mexican settings: possibilities and barriers for innovation with mobile health. BMC Health Services Research 2024;24(1) View