Application of artificial intelligence in screening for adverse perinatal outcomes: A protocol for systematic review. Issue 50 (11th December 2020)

• Record Type: Journal Article
• Authors: Feduniw, Stepan; Sys, Dorota; Kwiatkowski, Sebastian; Kajdy, Anna
• Is Part Of: Medicine. Volume 99:Issue 50(2020)
• Publication Date: 2020-12-11
• Subjects: artificial intelligence -- artificial neural network -- high-risk pregnancies -- machine learning -- perinatology -- pregnancy; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000023681
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : Abstract: The article presents a systematic review protocol. The aim of the study is an assessment of current studies regarding the application of artificial intelligence and neural networks in the screening for adverse perinatal outcomes. We intend to compare the reported efficacy of these methods to improve pregnancy care and outcomes. There are more and more studies that describe the role of machine learning in facilitating the diagnosis of adverse perinatal outcomes, like gestational diabetes or pregnancy hypertension. A systematic review of available literature seems to be crucial to compare the known efficacy and application. Publication of a systematic review in this category would improve the value of future studies. The studies reporting on artificial intelligence application will have a major impact on future prenatal practice.