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.
Authors
- Morris Senghor Shisanya (ORCID: https://orcid.org/0000-0002-4425-6249)
- Patrick Owoche (ORCID: https://orcid.org/0000-0003-2400-9192)
- Betty Mayeku
- Lucy Natecho Namusonge
Institutions
- Kibabii University (KE)
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