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AI at the Womb's Edge: Transformative Technologies in Fetal Monitoring
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Author(s): R. Shobarani (Dr. M.G.R. Educational and Research Institute, India), P. Dhivya (Dr. M.G.R. Educational and Research Institute, India), D. Radha (Shri Krishnaswamy College for Women, India), R. Kavitha (Dr. M.G.R. Educational and Research Institute, India), Surya Prakhash K. (SRM University, India)and T. Suganthi (Dhanraj Baid Jain College, India)
Copyright: 2024
Pages: 32
Source title:
Modernizing Maternal Care With Digital Technologies
Source Author(s)/Editor(s): Dattatray Takale (Vishwakarma Institute of Information Technology, India), Parikshit Mahalle (Vishwakarma Institute of Information Technology, India), Meera Narvekar (University of Mumbai, India)and Rupali Mahajan (Vishwakarma Institute of Information Technology, India)
DOI: 10.4018/979-8-3693-3711-0.ch006
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Abstract
Fetal monitoring is a critical aspect of prenatal care, aimed at assessing the well-being of the fetus during pregnancy and labor. Traditional fetal monitoring techniques, such as cardiotocography (CTG) and ultrasound, have been instrumental in reducing perinatal morbidity and mortality. However, these methods have limitations in accuracy, reliability, and interpretation. In recent years, the integration of artificial intelligence (AI) technologies into fetal monitoring systems has shown promising results in enhancing diagnostic accuracy and improving patient outcomes. This chapter provides a comprehensive review of the advancements in AI-powered fetal monitoring techniques, including machine learning algorithms, deep learning models, and computer vision approaches. The review also discusses the challenges, opportunities, and future directions in the field of AI-powered fetal monitoring.
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