Advancements in AI-Powered Personalized Pregnancy Care: A Comprehensive Review

Dattatray G. Takale; Vrushali Samant; Saniya Samant; Samruddhi Ubhad; Shlesha Patil; Suraj Datir

doi:10.48001/jocevd.2024.211-7

Authors

Dattatray G. Takale Assistant Professor, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
Vrushali Samant Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
Saniya Samant Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
Samruddhi Ubhad Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
Shlesha Patil Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
Suraj Datir Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

DOI:

https://doi.org/10.48001/jocevd.2024.211-7

Keywords:

Artificial Intelligence (AI), Childbirth, Convolutional Neural Networks (CNNs), Data science, Image analysis, Machine learning, Medical imaging, Pregnancy

Abstract

A comprehensive review of recent challenges faced by pregnant women and how Artificial intelligence can use to overcome these challenges is provided in this paper. In this paper, we explore various AI technologies and methodologies that contribute to the development of personalized pregnancy care system. Pregnancy is a complex vital period in a woman’s life with potential impact on her physical and psychological health.AI-driven personalized pregnancy care includes prediction of complications during pregnancy, proper diet for pregnant women and optimization of treatment plans. There are so many existing AI technologies related pregnancy care. However, these technologies are still facing many challenges. To improve existing techniques further research is required.

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