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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

Body length measurements are required for two key World Health Organization (WHO) growth standards: (1) length for age and (2) weight for length [3]. Accurate length measurement requires specialized equipment (a properly calibrated length board), skilled personnel, and a cooperative child [4-7]. Studies have reported inaccuracy and variability of length measurements, even in clinical settings [5,6,8,9].

Mei Chien Chua, Matthew Hadimaja, Jill Wong, Sankha Subhra Mukherjee, Agathe Foussat, Daniel Chan, Umesh Nandal, Fabian Yap

JMIR Pediatr Parent 2024;7:e59564

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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

Weight-for-height or weight-for-length z score (WHZ) and height-for-age or length-for-age z score (HAZ) were calculated using the WHO growth standard [14]. Outliers were calculated using two approaches: (1) fixed exclusions of WHZ values of 5 and HAZ values of 6 and (2) flexible exclusions of WHZ and HAZ values of 3 from the observed median. Measurements outside the range for which z scores could be generated (length: 45-110 cm for children aged 2 years) were also excluded.

Eva Leidman, Muhammad Ali Jatoi, Iris Bollemeijer, Jennifer Majer, Shannon Doocy

JMIR Biomed Eng 2022;7(2):e40066

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