Nicholas Ngepah, Charles S Saba, Ariane Ephemia Ndzignat Mouteyica, Abieyuwa Ohonba
{"title":"人工智能对孕产妇死亡率的影响:来自全球、发达国家和发展中国家的证据。","authors":"Nicholas Ngepah, Charles S Saba, Ariane Ephemia Ndzignat Mouteyica, Abieyuwa Ohonba","doi":"10.1186/s12992-025-01135-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study examines the impact of Artificial Intelligence (AI) on maternal mortality in alignment with Sustainable Development Goal (SDG) 3.1, which aims to reduce maternal mortality to below 70 per 100,000 live births by 2030. Despite advancements, maternal mortality remains disproportionately high in developing countries due to weaker healthcare infrastructure.</p><p><strong>Methods: </strong>Using panel data from 70 countries (1990-2022), sourced from WHO's Global Burden of Disease (GBD), World Bank's World Development Indicators (WDI), UNCTAD, and the World Robotics database, we apply the Difference-in-Differences (DiD) approach to assess AI's impact over time and the Auto-Regressive Distributed Lag (ARDL) model to examine short- and long-term effects.</p><p><strong>Results: </strong>AI adoption significantly reduces maternal mortality, particularly in developing countries, where post-2000 advancements have led to notable declines. ARDL results show that 27% of deviations from long-term maternal mortality trends are corrected annually, highlighting AI's sustained impact. The DiD analysis indicates AI's greatest benefits in resource-limited settings, including improving early diagnostics, personalized care, and remote monitoring. In developed countries, AI's effects are marginal due to existing advanced healthcare systems.</p><p><strong>Conclusion: </strong>AI presents a transformative solution for reducing maternal mortality, particularly in low-resource settings. Policymakers should prioritize AI-driven healthcare, expand digital infrastructure, and ensure equitable access to maximize its benefits. AI integration is crucial for addressing maternal health disparities and accelerating progress toward SDG 3.1.</p>","PeriodicalId":12747,"journal":{"name":"Globalization and Health","volume":"21 1","pages":"41"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12306034/pdf/","citationCount":"0","resultStr":"{\"title\":\"The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries.\",\"authors\":\"Nicholas Ngepah, Charles S Saba, Ariane Ephemia Ndzignat Mouteyica, Abieyuwa Ohonba\",\"doi\":\"10.1186/s12992-025-01135-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study examines the impact of Artificial Intelligence (AI) on maternal mortality in alignment with Sustainable Development Goal (SDG) 3.1, which aims to reduce maternal mortality to below 70 per 100,000 live births by 2030. Despite advancements, maternal mortality remains disproportionately high in developing countries due to weaker healthcare infrastructure.</p><p><strong>Methods: </strong>Using panel data from 70 countries (1990-2022), sourced from WHO's Global Burden of Disease (GBD), World Bank's World Development Indicators (WDI), UNCTAD, and the World Robotics database, we apply the Difference-in-Differences (DiD) approach to assess AI's impact over time and the Auto-Regressive Distributed Lag (ARDL) model to examine short- and long-term effects.</p><p><strong>Results: </strong>AI adoption significantly reduces maternal mortality, particularly in developing countries, where post-2000 advancements have led to notable declines. ARDL results show that 27% of deviations from long-term maternal mortality trends are corrected annually, highlighting AI's sustained impact. The DiD analysis indicates AI's greatest benefits in resource-limited settings, including improving early diagnostics, personalized care, and remote monitoring. In developed countries, AI's effects are marginal due to existing advanced healthcare systems.</p><p><strong>Conclusion: </strong>AI presents a transformative solution for reducing maternal mortality, particularly in low-resource settings. Policymakers should prioritize AI-driven healthcare, expand digital infrastructure, and ensure equitable access to maximize its benefits. AI integration is crucial for addressing maternal health disparities and accelerating progress toward SDG 3.1.</p>\",\"PeriodicalId\":12747,\"journal\":{\"name\":\"Globalization and Health\",\"volume\":\"21 1\",\"pages\":\"41\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12306034/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Globalization and Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12992-025-01135-2\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Globalization and Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12992-025-01135-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries.
Background: This study examines the impact of Artificial Intelligence (AI) on maternal mortality in alignment with Sustainable Development Goal (SDG) 3.1, which aims to reduce maternal mortality to below 70 per 100,000 live births by 2030. Despite advancements, maternal mortality remains disproportionately high in developing countries due to weaker healthcare infrastructure.
Methods: Using panel data from 70 countries (1990-2022), sourced from WHO's Global Burden of Disease (GBD), World Bank's World Development Indicators (WDI), UNCTAD, and the World Robotics database, we apply the Difference-in-Differences (DiD) approach to assess AI's impact over time and the Auto-Regressive Distributed Lag (ARDL) model to examine short- and long-term effects.
Results: AI adoption significantly reduces maternal mortality, particularly in developing countries, where post-2000 advancements have led to notable declines. ARDL results show that 27% of deviations from long-term maternal mortality trends are corrected annually, highlighting AI's sustained impact. The DiD analysis indicates AI's greatest benefits in resource-limited settings, including improving early diagnostics, personalized care, and remote monitoring. In developed countries, AI's effects are marginal due to existing advanced healthcare systems.
Conclusion: AI presents a transformative solution for reducing maternal mortality, particularly in low-resource settings. Policymakers should prioritize AI-driven healthcare, expand digital infrastructure, and ensure equitable access to maximize its benefits. AI integration is crucial for addressing maternal health disparities and accelerating progress toward SDG 3.1.
期刊介绍:
"Globalization and Health" is a pioneering transdisciplinary journal dedicated to situating public health and well-being within the dynamic forces of global development. The journal is committed to publishing high-quality, original research that explores the impact of globalization processes on global public health. This includes examining how globalization influences health systems and the social, economic, commercial, and political determinants of health.
The journal welcomes contributions from various disciplines, including policy, health systems, political economy, international relations, and community perspectives. While single-country studies are accepted, they must emphasize global/globalization mechanisms and their relevance to global-level policy discourse and decision-making.