An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's height using images taken by a healthcare professional or parents.
This is an exploratory, observation, data-collection study that aims to evaluate the performance of a Height Artificial Intelligence (HAI) algorithm in a real world setting. Images will be collected by parents or healthcare professionals, together with physical height measurements. This data will be used to evaluate the accuracy of the algorithm and to explore potential improvements. Data on the acceptance and experience of using the algorithm will be collected for improvements.
Study Type
OBSERVATIONAL
Enrollment
250
Physical height will be measured and images will be collected for AI to estimate the height
KK Women's and Children's Hospital
Singapore, Singapore
Accuracy of the height AI (cm)
Accuracy of the Height AI (cm) in a clinic and in a home setting, derived from: 1. The height AI prediction from images collected 2. The physical height measurements of subjects using WHO standard height measurement
Time frame: 2 days
Accuracy of the Weight AI (kg)
Accuracy of the Weight AI (kg) in a clinic and in a home setting, derived from: 1. The weight prediction from the standing images collected in this study 2. The WHO standard weight measurement of subjects
Time frame: 2 days
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