Clinical utility assessment framework for machine learning-based fetal health classification in cardiotocography: an observational study

AI-based fetal health classification systems show potential for future applications when properly validated. However, the significant false negative rate for pathological cases indicates that these systems cannot function independently. External validation using multicenter clinical data and prospective outcome studies is essential before clinical implementation.