Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool
Fabian Yap, Daniel Chan, Mei Chien Chua, Matthew Hadimaja et al. • BMJ Health & Care Informatics
(2025)
Background Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study’s aim was to assess the performance of a length-weight artificial intelligence (...
DOAJ
Open Access (DOAJ)
DOI:
10.1136/bmjhci-2025-101540