The Use of Artificial Intelligence in Pre-eclampsia: Umbrella Review Protocol

The Use of Artificial Intelligence in Pre-eclampsia: Umbrella Review Protocol | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 5 May 2025 V1 Latest version Share on The Use of Artificial Intelligence in Pre-eclampsia: Umbrella Review Protocol Authors : Oyindolapo Olabisi Komolafe 0009-0009-2614-7805 , Modinat A. Abayomi , Mary Adetutu Adewunmi [email protected] , Temitope Ayano 0000-0002-7187-7112 , Mercy Akinwale , Oluwatosin Maryam Adeyemo 0000-0002-1234-5239 , and Amadou Gariko Authors Info & Affiliations https://doi.org/10.22541/au.174646444.44011507/v1 246 views 111 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract RationalePre-eclampsia, a severe hypertensive disorder of pregnancy, poses significant maternal and perinatal risks. Artificial intelligence (AI) offers the potential for improved prediction, risk stratification, and personalized management. This umbrella review aims to synthesize existing systematic reviews to evaluate AI’s current applications, benefits, limitations, and ethical considerations in pre-eclampsia care. MethodsThis umbrella review will follow the Joanna Briggs Institute (JBI) methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We will systematically search major databases for relevant systematic reviews that examine the application of AI in pre-eclampsia. Data extraction will include information on AI algorithm performance, clinical applications, predictive variables, population diversity, ethical considerations, and limitations. Quantitative and qualitative synthesis of the extracted data will be performed to address the specific aims. Discussion This review’s findings will critically examine AI’s translational potential in pre-eclampsia care. We will discuss the balance between the promise of enhanced predictive accuracy and the practical challenges of clinical implementation, including data quality, model interpretability, and the need for rigorous validation across diverse populations. Ultimately, this review will contribute to a nuanced understanding of how AI can be responsibly leveraged to improve maternal and perinatal outcomes in pre-eclampsia. Supplementary Material File (protocol - ai for preeclamsia.docx) Download 4.70 MB Information & Authors Information Version history V1 Version 1 05 May 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Authors Affiliations Oyindolapo Olabisi Komolafe 0009-0009-2614-7805 Western University School of Physical Therapy View all articles by this author Modinat A. Abayomi CaresAI View all articles by this author Mary Adetutu Adewunmi [email protected] CaresAI View all articles by this author Temitope Ayano 0000-0002-7187-7112 CaresAI View all articles by this author Mercy Akinwale CaresAI View all articles by this author Oluwatosin Maryam Adeyemo 0000-0002-1234-5239 CaresAI View all articles by this author Amadou Gariko CaresAI View all articles by this author Metrics & Citations Metrics Article Usage 246 views 111 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Oyindolapo Olabisi Komolafe, Modinat A. Abayomi, Mary Adetutu Adewunmi, et al. The Use of Artificial Intelligence in Pre-eclampsia: Umbrella Review Protocol. Authorea . 05 May 2025. DOI: https://doi.org/10.22541/au.174646444.44011507/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. 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