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Review
. 2025 Mar 13;17(3):e80514.
doi: 10.7759/cureus.80514. eCollection 2025 Mar.

Advancing Obstetric Care Through Artificial Intelligence-Enhanced Clinical Decision Support Systems: A Systematic Review

Mohammad Omar Abdalrahman Mohammad Ali  1 , Selma Mohammed Abdelgadir Elhabeeb  2 , Nihal Eltayeb Abdalla Elsheikh  2 , Fatima Siddig Abdalla Mohammed  2 , Sulafa Hassan Mahmoud Ali  3 , Aya Abuelgasim Ibrahim Abdelhalim  4 , Dalia Saad Altom  5
Affiliations
Review

Advancing Obstetric Care Through Artificial Intelligence-Enhanced Clinical Decision Support Systems: A Systematic Review

Mohammad Omar Abdalrahman Mohammad Ali et al. Cureus. .

Abstract

Although artificial intelligence (AI) has grown over the past 10 years and clinical decision support systems (CDSS) have begun to be used in obstetric care, little is known about how AI functions in obstetric care-specific CDSS. We conducted a systematic review based on research studies that looked at AI-augmented CDSS in obstetric care to identify and synthesize CDSS functionality, AI techniques, clinical implementation, and AI-augmented CDSS in obstetric care. We searched four different databases (Scopus, PubMed, Web of Science, and IEEE Xplore) for relevant studies, and we found 354 studies. The studies were evaluated for eligibility based on predefined inclusion and exclusion criteria. The systematic review incorporated 30 studies after conducting an eligibility assessment of all studies. We used the Newcastle Ottawa Scale for risk bias assessment of all included studies. Medical prediction, therapeutic recommendations, diagnostic support, and knowledge dissemination constitute the key features of CDSS service offerings. The current research on CDSS included findings about early fetal anomaly detection, economical surveillance, prenatal ultrasonography assistance, and ontology development methodologies according to our study findings.

Keywords: artificial intelligence; clinical decision support systems; obstetric care; pregnancy care; prenatal care.

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Conflict of interest statement

Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Figures

Figure 1
Figure 1. PRISMA flowchart
PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses; AI: artificial intelligence
Figure 2
Figure 2. AI-enhanced CDSS application in prenatal and obstetric case
Credit: Nihal Eltayeb Abdalla Elsheikh. Created using BioRender (https://app.biorender.com/) AI: artificial intelligence; CDSS: clinical decision support systems
Figure 3
Figure 3. Visual representation of the use of different AI models for clinical decision support systems
Credit: Nihal Eltayeb Abdalla Elsheikh. Created using BioRender (https://app.biorender.com/)
See this image and copyright information in PMC

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