Objective:

To develop a multidimensional ensemble pipeline for the detection of intrauterine growth restriction (IUGR) from antepartum cardiotocography (CTG) recordings.

Approach:

Key Findings:

• The ensemble approach achieved a balanced accuracy of 0.799 and an AUC of 0.868.
• Statistical comparison confirmed that the ensemble classifier significantly outperformed the individual models (p < 10−11).

Interpretation:

Remove this section.

Limitations:

• The study relies on a single large dataset (NAPAMI) for training and evaluation.
• The generalizability of the results to other populations or settings is not established.

Conclusion:

Revise to focus solely on the findings without implications for AI-assisted tools.

Attribution Notice

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.