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

Iterative Development, Validation, and Certification of a Smartphone System to Assess Neonatal Jaundice: Development and Usability Study

Journals

  1. 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
  2. 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