Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis.

ABSTRACT:

Introduction

In 2020, an estimated 287,000 women died in pregnancy or childbirth-related causes (70% in Africa), while 2.3 million newborns died in the first 28 days of life in 2022 (46% in Africa). The utility of data science and Artificial Intelligence (AI) in health has potential to contribute and accelerate innovation, improve data use for evidence-based decision making, and better planning for policy decision making.

Aim

To map the current landscape of data science and artificial intelligence applications in maternal, newborn and child health (MNCH) across Africa and identify gaps, challenges, and opportunities for future implementation.

Methods

A scoping review was conducted following the Arksey and O'Malley framework across five databases (PubMed, Web of Scienc

SUBMITTER: Akuze J 

PROVIDER: S-EPMC12838465 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature