Artificial intelligence and the future of maternal and newborn health in low-income countries: advancing equity, early detection, and health system resilience.
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| Title: | Artificial intelligence and the future of maternal and newborn health in low-income countries: advancing equity, early detection, and health system resilience. |
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| Authors: | Abdi BM; Faculty of Health Sciences and Tropical Medicine, Somali National University, Mogadishu, Somalia., Ali SM; Faculty of Health Sciences and Tropical Medicine, Somali National University, Mogadishu, Somalia., Ali SA; Faculty of Health Sciences and Tropical Medicine, Somali National University, Mogadishu, Somalia., Hussein MA; Faculty of Health Sciences and Tropical Medicine, Somali National University, Mogadishu, Somalia., Adow AI; Faculty of Health Sciences and Tropical Medicine, Somali National University, Mogadishu, Somalia., Bashir SG; Faculty of Health Sciences and Tropical Medicine, Somali National University, Mogadishu, Somalia.; Center for Health Research and Innovation, Somali National University, Mogadishu, Somalia. |
| Source: | Frontiers in public health [Front Public Health] 2026 Aug 25; Vol. 14, pp. 1908521. Date of Electronic Publication: 2026 Aug 25 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2026.1908521 |
