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Machine learning-based clinical decision support systems for pregnancy care: A systematic review
Yuhan Du1, Catherine McNestry2, Lan Wei1
1UCD School of Computer Science, University College Dublin, Dublin, Ireland.
International Journal of Medical Informatics
|March 12, 2023
Summary
Machine learning-based clinical decision support systems (CDSSs) show promise for improving pregnancy care. However, current research lacks explainability, external validation, and consideration of diverse populations, hindering clinical implementation.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Maternal Health Technology
Background:
- Clinical decision support systems (CDSSs) offer significant benefits in healthcare delivery.
- High-quality care during pregnancy and childbirth is crucial.
- Machine learning (ML)-based CDSSs have demonstrated a positive impact on pregnancy care outcomes.
Conclusions:
- ML-based CDSSs for pregnancy care are an emerging field with significant untapped potential.
- Despite challenges like limited explainability and validation, existing studies suggest positive impacts on clinical practice.
- Future research should address identified gaps in explainability, validation, diversity, and implementation to enhance clinical translation.
Keywords:
Clinical decision support systemExplainable artificial intelligenceMachine learningPregnancy careMore Related Videos
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