The role of AI in reducing maternal mortality: Current impacts and future potentials: Protocol for an analytical cross-sectional study

AI-based maternal health interventions hold promise for reducing maternal mortality, improving diagnostic accuracy, and enhancing health-seeking behaviors. However, their success depends on user experiences, healthcare system readiness, and policy alignment. This study will provide critical insights for evidence-based scaling and policy integration of AI in maternal healthcare.

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Publication Details

Journal
PLoS ONE
Published
2025-05-14
DOI
https://doi.org/10.1371/journal.pone.0323533
Citations
7
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
4.58
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article

The role of AI in reducing maternal mortality: Current impacts and future potentials: Protocol for an analytical cross-sectional study

Morris Senghor Shisanya, Patrick Owoche, Betty Mayeku, Lucy Natecho Namusonge
7 citations
PLoS ONE
Artificial Intelligence in Healthcare and Education
4.58
article

The role of AI in reducing maternal mortality: Current impacts and future potentials: Protocol for an analytical cross-sectional study

Morris Senghor Shisanya, Patrick Owoche, Betty Mayeku, Lucy Natecho Namusonge
article en
7 citations

Abstract

AI-based maternal health interventions hold promise for reducing maternal mortality, improving diagnostic accuracy, and enhancing health-seeking behaviors. However, their success depends on user experiences, healthcare system readiness, and policy alignment. This study will provide critical insights for evidence-based scaling and policy integration of AI in maternal healthcare.

PLoS ONEVol. 20(5)
Kibabii University (KE)
Good health and well-being
Openalex Percentile: Top 5%
Artificial Intelligence in Healthcare and Education
4.58
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