THE ROLE OF ARTIFICIAL INTELLIGENCE IN ANTENATAL CARE IN SUB-SAHARAN AFRICA: A REVIEW OF LITERATURE
1
Obstetrics and gynaecology, University College Hospital,Ibadan., Oyo state, Nigeria
Popul. Med. 2026;8(Supplement Supplement 1):A819
ABSTRACT
OBJECTIVE:
This review aims to provide an overview of existing research on artificial intelligence in antenatal care (ANC) which is a critical component of maternal and child health with the purpose of promoting healthy outcomes for both mother and fetus.
METHODS:
A systematic search of electronic databases, including PubMed, Scopus, and Google Scholar, was conducted to identify relevant articles published and a narrative approach was adopted for the literature review with findings grouped into themes which include: The applications of Artificial intelligence in ANC, the benefits, its challenges, future prospects, recommendations and conclusion.
RESULTS:
31 studies conducted across Africa, related to the adoption of AI in antenatal care across Africa.AI technologies, including machine learning, predictive analytics, natural language processing, and mobile health applications, can be integrated into ANC services to support early risk detection, personalized care, and real-time monitoring of pregnant women.
CONCLUSIONS:
AI has the potential to enhance the quality of care in antenatal care, reduce human error, and strengthen health system performance. AI should come to the forefront in antenatal care in sub-Saharan Africa as it plays a pivotal role in improving maternal and fetal outcomes.
This review aims to provide an overview of existing research on artificial intelligence in antenatal care (ANC) which is a critical component of maternal and child health with the purpose of promoting healthy outcomes for both mother and fetus.
METHODS:
A systematic search of electronic databases, including PubMed, Scopus, and Google Scholar, was conducted to identify relevant articles published and a narrative approach was adopted for the literature review with findings grouped into themes which include: The applications of Artificial intelligence in ANC, the benefits, its challenges, future prospects, recommendations and conclusion.
RESULTS:
31 studies conducted across Africa, related to the adoption of AI in antenatal care across Africa.AI technologies, including machine learning, predictive analytics, natural language processing, and mobile health applications, can be integrated into ANC services to support early risk detection, personalized care, and real-time monitoring of pregnant women.
CONCLUSIONS:
AI has the potential to enhance the quality of care in antenatal care, reduce human error, and strengthen health system performance. AI should come to the forefront in antenatal care in sub-Saharan Africa as it plays a pivotal role in improving maternal and fetal outcomes.
| eISSN: | 2654-1459 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
