AI-POWERED PREGNANCY: ADVANCEMENTS IN FETAL MONITORING AND SUPPORT

Avula Srivani*, Avusula Shiva Prasad, Md Ameer, Mofidul Isam and Chandan Pyne

Artificial intelligence has been extensively used in most fields of study, including medicine and health. Pregnancy-related issues or illnesses have the potential to harm the lives of both the mother and the foetus. The concept that emotional factors—like worry, stress, or depression, for example—can be a significant risk factor during pregnancy is sufficiently supported by scientific research. The purpose of this study is to identify the approaches, strategies, algorithms, and frameworks utilized in Artificial Intelligence and Affective Computing for pregnant health and well-being. For the past 12 years (2008-2020), a scoping review of the scientific literature has been conducted. This review was created using the PRISMA-ScR framework and the technique suggested by Arksey and O'Malley. One of the primary conclusions of this study is that, despite the potential importance of emotional status as a risk factor during pregnancy, there is currently a dearth of substantial literature on automatic emotion analysis. Future research on this area is highly recommended since artificial intelligence and affective computing-based gadgets can improve the health and well-being of pregnant women.