Development and external validation of a stacking ensemble machine-learning model to identify ultrasound-defined MASLD in children with overweight or obesity
Childhood obesity is increasingly accompanied by metabolic dysfunction-associated steatotic liver disease (MASLD), creating a need for accessible screening strategies in routine clinical care. We aimed to develop and externally validate a machine learning (ML) model based on routinely available clinical data to i...