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Impact of Artificial Intelligence in Managing Complications in Pregnancy and Childbirth

Impact of Artificial Intelligence in Managing Complications in Pregnancy and Childbirth

Parimala Devi Muthusamy, G. Boopathi Raja, T. Sathya, P. Nandhini
Copyright: © 2023 |Pages: 17
ISBN13: 9781668489741|ISBN10: 1668489740|ISBN13 Softcover: 9781668489758|EISBN13: 9781668489765
DOI: 10.4018/978-1-6684-8974-1.ch018
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MLA

Muthusamy, Parimala Devi, et al. "Impact of Artificial Intelligence in Managing Complications in Pregnancy and Childbirth." Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning, edited by D. Satishkumar and P. Maniiarasan, IGI Global, 2023, pp. 276-292. https://doi.org/10.4018/978-1-6684-8974-1.ch018

APA

Muthusamy, P. D., Boopathi Raja, G., Sathya, T., & Nandhini, P. (2023). Impact of Artificial Intelligence in Managing Complications in Pregnancy and Childbirth. In D. Satishkumar & P. Maniiarasan (Eds.), Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning (pp. 276-292). IGI Global. https://doi.org/10.4018/978-1-6684-8974-1.ch018

Chicago

Muthusamy, Parimala Devi, et al. "Impact of Artificial Intelligence in Managing Complications in Pregnancy and Childbirth." In Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning, edited by D. Satishkumar and P. Maniiarasan, 276-292. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-8974-1.ch018

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Abstract

Artificial intelligence is extensively used in the majority of research fields, including health and medicine. Emotional concerns, such as dread, stress, or sadness, for example, might constitute a major risk indicator in pregnancy. This is the conclusion reached by scientific research, which gives sufficient data to back the claim. The mother can develop complications during her pregnancy as a result of illnesses or conditions she had before becoming expectant. During the process of childbirth, there are occasionally complications. Early diagnosis and pregnancy treatment can minimize any further risks to both the mother and the baby, even if complications are present. Furthermore, the use of artificial intelligence and deep learning algorithms in the healthcare business enables medical practitioners to monitor, diagnose, locate, and emphasize the location of a problem, as well as give a speedy and accurate remedy. Because of the prevalence of gadgets that employ emotion detection using artificial intelligence, more research on this subject is strongly encouraged.

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