Differentiating Transient From Persistent Developmental Delays in a Nationwide Infant Cohort

Among infants who show early developmental milestone failure at well-child visits, can routine surveillance be leveraged to identify those at risk for a persistent delay?In this cohort study of 37 760 infants who exhibited early developmental delay at 9 to 12 months, both machine learning and rule-based approaches showed good fidelity in identifying individuals at risk for persistent developmental delays.The findings suggest that early childhood surveillance can be leveraged to identify children at risk for persistent developmental delay, thereby improving referral accuracy and resource allocation.

Corresponding Author: Yonatan Bilu, PhD, KI Research Institute, Hazait 11, Kfar Malal 4592000, Israel (yonatan@kinstitute.org.il).

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