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

New Diagnostic Tools and Instruments for Pediatrics (30) Human Factors and Usability Case Studies (809) Development and Evaluation of Research Methods, Instruments and Tools (511) Artificial Intelligence (1421) Applications of AI (104) Mobile Health and Apps for Maternal and Child Health (154) Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (56)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59564, first published .
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

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

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

Authors of this article:

Mei Chien Chua1, 2, 3, 4 Author Orcid Image ;   Matthew Hadimaja5 Author Orcid Image ;   Jill Wong5 Author Orcid Image ;   Sankha Subhra Mukherjee5 Author Orcid Image ;   Agathe Foussat5 Author Orcid Image ;   Daniel Chan2, 6 Author Orcid Image ;   Umesh Nandal7 Author Orcid Image ;   Fabian Yap2, 3, 4, 6 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Mei Chien Chua   1, 2, 3, 4 , MBBS, MMed ;   Matthew Hadimaja   5 , MSc ;   Jill Wong   5 , MSc ;   Sankha Subhra Mukherjee   5 , PhD ;   Agathe Foussat   5 , MSc ;   Daniel Chan   2, 6 , MBBS, MMed ;   Umesh Nandal   7 , PhD ;   Fabian Yap   2, 3, 4, 6 , MBBS, MMed

1 Department of Neonatology, KK Women's and Children's Hospital, Singapore, Singapore

2 Duke-NUS Medical School, Singapore, Singapore

3 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

4 Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

5 Danone Nutricia Research, Singapore, Singapore

6 Endocrinology Service, Division of Medicine, KK Women's and Children's Hospital, Singapore, Singapore

7 Danone Nutricia Research, Utrecht, Netherlands

Corresponding Author:

  • Fabian Yap, MBBS, MMed
  • Endocrinology Service, Division of Medicine
  • KK Women's and Children's Hospital
  • 100 Bukit Timah Road, Endocrinology Service,
  • Division of Medicine, Level 3, Clinical Staff Office
  • Singapore, 229889
  • Singapore
  • Phone: 65 6394 1127
  • Email: fabian.yap.k.p@singhealth.com.sg