{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T05:21:08Z","timestamp":1789881668552,"version":"4.0.1"},"reference-count":129,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T00:00:00Z","timestamp":1781827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:p>\n                    Artificial intelligence (AI) has emerged as a promising approach for improving the early detection and management of adverse pregnancy outcomes through enhanced risk prediction and clinical decision support. This\n                    <jats:bold>narrative review<\/jats:bold>\n                    synthesizes current evidence on AI applications for predicting major obstetric complications, including preeclampsia, preterm birth, gestational diabetes, and fetal growth restriction. Reported predictive performance across studies demonstrates considerable heterogeneity, with area under the receiver operating characteristic curve (AUROC) values ranging from approximately 0.73 to 0.97, reflecting differences in datasets, model architectures, and validation strategies. Beyond predictive accuracy, this review critically examines sources of algorithmic bias that may influence model performance and equity in maternal healthcare. Eight key bias mechanisms are identified, including sampling bias, measurement bias, algorithmic bias, temporal bias, selection bias, labelling bias, deployment context bias, and access bias. These biases may limit model generalizability and risk amplifying existing maternal health disparities, particularly in low- and middle-income countries. Current evidence is further constrained by limited external validation across diverse populations, the absence of prospective clinical impact trials, insufficient cost-effectiveness analyses, and evolving regulatory frameworks governing AI accountability. The review discusses potential pathways for responsible clinical translation, emphasizing inclusive dataset development, rigorous multisite validation, careful integration into clinical workflows with human oversight, and strengthening regulatory and workforce capacity. Achieving equitable implementation of AI in maternal health will require deliberate efforts to embed transparency, accountability, and health equity throughout the AI development and deployment lifecycle.\n                  <\/jats:p>","DOI":"10.3389\/fdgth.2026.1841706","type":"journal-article","created":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T05:48:17Z","timestamp":1781848097000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Artificial intelligence for predicting and preventing adverse pregnancy outcomes addressing bias and clinical translation"],"prefix":"10.3389","volume":"8","author":[{"given":"Sharmake Gaiye","family":"Bashir","sequence":"first","affiliation":[{"name":"Faculty of Health Sciences and Tropical Medicine, Somali National University","place":["Mogadishu, Somalia"]},{"name":"Center for Health Research and Innovation, Somali National University","place":["Mogadishu, Somalia"]},{"name":"Faculty of Health Science, Salaam University","place":["Mogadishu, Somalia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiba Abdi","family":"Salad","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences and Tropical Medicine, Somali National University","place":["Mogadishu, Somalia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yakub Burhan","family":"Abdullahi","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences and Tropical Medicine, Somali National University","place":["Mogadishu, Somalia"]},{"name":"Center for Health Research and Innovation, Somali National University","place":["Mogadishu, Somalia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusuf Hared","family":"Abdi","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences and Tropical Medicine, Somali National University","place":["Mogadishu, Somalia"]},{"name":"Center for Health Research and Innovation, Somali National University","place":["Mogadishu, Somalia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed Sharif","family":"Abdi","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences and Tropical Medicine, Somali National University","place":["Mogadishu, Somalia"]},{"name":"Center for Health Research and Innovation, Somali National University","place":["Mogadishu, Somalia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naima Ibrahim","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences and Tropical Medicine, Somali National University","place":["Mogadishu, Somalia"]},{"name":"Center for Health Research and Innovation, Somali National University","place":["Mogadishu, Somalia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuaibu","family":"Saidu Musa","sequence":"additional","affiliation":[{"name":"School of Global Health, Faculty of Medicine, Chulalongkorn University","place":["Bangkok, Thailand"]},{"name":"Department of Nursing Science, Ahmadu Bello University","place":["Zaria, Nigeria"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nafisa M. K.","family":"Elehamer","sequence":"additional","affiliation":[{"name":"Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen","place":["Debrecen, Hungary"]},{"name":"Department of Health Education, Faculty of Public and Environmental Health, University of Khartoum","place":["Khartoum, Sudan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Kabir","family":"Musa","sequence":"additional","affiliation":[{"name":"Department of Clinical Pharmacy, University of Michigan College of Pharmacy","place":["Ann Arbor, MI, United States"]},{"name":"Department of Biomedical Sciences, Nazarbayev University School of Medicine","place":["Astana, Kazakhstan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Obasanjo","family":"Bolarinwa","sequence":"additional","affiliation":[{"name":"Department of Global Healthcare Management, York St John University","place":["London, United Kingdom"]},{"name":"Demography and Population 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