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Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review

  • Xinnian Lin
  • , Chen Liang
  • , Jihong Liu
  • , Tianchu Lyu
  • , Nadia Ghumman
  • , Berry Campbell
  • Fuzhou University of International Studies and Trade
  • University of Washington School of Medicine
  • University of South Carolina
  • University of South Carolina School of Medicine Columbia

Research output: Contribution to journal › Review article › peer-review

Original languageEnglish
Article numbere54737
JournalJournal of Medical Internet Research
Volume26
DOIs
StatePublished - 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

  • Health Informatics

Keywords

  • AI
  • CDSS
  • abnormalities
  • abnormality
  • artificial intelligence
  • bibliography
  • biomedical ontologies
  • clinical decision support systems
  • clinical prediction
  • cost-effective
  • database queries
  • database query
  • diagnosis
  • diagnostic support
  • early pregnancy
  • eligibility
  • functionality
  • implementation
  • implementation science
  • knowledge base
  • literature review
  • methodology
  • obstetric care
  • obstetrics
  • ontology
  • postpartum care
  • pregnancy
  • pregnancy care
  • prenatal
  • recommendation
  • recommendations
  • record
  • records
  • surveillance
  • systematic review
  • therapeutic
  • therapeutics
  • ultrasound

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