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

Development of Novel Medical Devices and Innovations for Existing Devices (83) Design and Formative Evaluation of Mobile Apps (706) Health Services in Resource-Poor Settings and LMICs (423) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (578) mHealth in a Clinical Setting (624) mHealth for Data Collection and Research (981)

Published on in Vol 7, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40066, first published .
Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan

Authors of this article:

Eva Leidman1 Author Orcid Image ;   Muhammad Ali Jatoi2 Author Orcid Image ;   Iris Bollemeijer3 Author Orcid Image ;   Jennifer Majer3 Author Orcid Image ;   Shannon Doocy1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Soller T, Huang S, Horiuchi S, Wilson A, Vogel J, Perumal N. Portable digital devices for paediatric height and length measurement: A scoping review and target product profile matching analysis. PLOS ONE 2023;18(7):e0288995 View
  2. Chua M, Hadimaja M, Wong J, Mukherjee S, Foussat A, Chan D, Nandal U, Yap F. Exploring the Use of a Length AI Algorithm to Estimate Children’s Length from Smartphone Images in a Real-World Setting: Algorithm Development and Usability Study. JMIR Pediatrics and Parenting 2024;7:e59564 View