Artificial Intelligence in Pregnancy: A Scoping Review

Abstract

Artificial Intelligence has been widely applied to a majority of research areas, including health and medicine. Certain complications or disorders that can appear during pregnancy can endanger the life of both mother and fetus. There is enough scientific literature to support the idea that emotional aspects can be a relevant risk factor in pregnancy (such as anxiety, stress or depression, for instance). This paper presents a scoping review of the scientific literature from the past 12 years (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020) to identify which methodologies, techniques, algorithms and frameworks are used in Artificial Intelligence and Affective Computing for pregnancy health and well-being. The methodology proposed by Arksey and O'Malley, in conjunction with PRISMA-ScR framework has been used to create this review. Despite the relevance that emotional status can have as a risk factor during pregnancy, one of the main findings of this study is that there is still not a significant amount of literature on automatic analysis of emotion. Health enhancement and well-being for pregnant women can be achieved with artificial intelligence or affective computing based devices, hence future work on this topic is strongly suggested.

Perinatal health predictors using artificial intelligence: A review

“…The commonly used ML algorithms are decision trees followed by support vector machines, logistic regression, and artificial neural networks. 40 …”

“… 40 Furthermore, ML can be used to make real-time diagnostic predictions such as the need for caesarean delivery or labor induction. 40 …”

“…This has become all the more important since the COVID-19 pandemic where health care professionals are burdened by the huge surge of patients because of which patients with preexisting conditions are not being able to seek timely help and monitoring. 40 This is also related to one of the most promising area of AI applications, that is, mobile health (mHealth). mHealth is extremely useful for prenatal care especially in low-resource settings, where community health workers can facilitate care delivery, monitor health, and enable patient self-management.…”

“… 39 , 47 Even in high-resource settings, mHealth enables personalized monitoring to provide support to pregnant women. 40 …”

“…Furthermore, real-time electronic health recording and predictive modeling have found initial success in the field of pregnancy health 40 and can especially be applied to health care systems in LIC. In HIC, 81% of the population is estimated to be living in urban areas, whereas in LIC this proportion is 33%.…”