This paper is in the following e-collection/theme issue:

Mobile Health and Apps for Maternal and Child Health (108) mHealth for Screening (165) Pediatrics (146) Clinical Information and Decision Making (1107) Design and Formative Evaluation of Mobile Apps (617) Mobile Health (mhealth) (2345) Decision Support for Health Professionals (919)

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

Authors of this article:

Anders Aune 1, 2 Author Orcid Image ;   Gunnar Vartdal 2 Author Orcid Image ;   Gabriela Jimenez Diaz 1, 2 Author Orcid Image ;   Lobke Marijn Gierman 2 Author Orcid Image ;   Håkon Bergseng 3, 4 Author Orcid Image ;   Elisabeth Darj 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

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