IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319-1775 Online 2320-7876

Artificial intelligence in gynecologic and obstetric emergencies

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Dr. Shailja Pandey , Dr. Sonali dongarwar

Abstract

One use of artificial intelligence (AI) is the ability for computers to mimic human intelligence and make judgments in medical settings without human intervention. In cases of obstetric and gynecologic emergency, this might work well. The goal of this review was to examine artificial intelligence (AI) and its use in obstetric and gynecologic crises. When it comes to women's healthcare, the use of artificial intelligence (AI) in OB/GYN is changing everything. This article delves into the revolutionary effects of AI on gynecological and obstetrical care, including diagnosis, treatment, and management. Highlighting their significance in improving prenatal care, maternal and fetal outcomes, and optimizing gynecological therapies, we discuss important breakthroughs in AI-driven imaging techniques, predictive analytics, and customized medicine. Using the keywords combination of "artificial intelligence, gynecology and obstetrics," a literature search was conducted in July 2023 in PubMed, Cochrane Library, and Google Scholar. We read the relevant articles. Additionally, the reference lists of the chosen articles were perused. Diagnostic imaging, emergency prediction, and emergency service planning and resource allocation are just a few areas where the research has shown AI to play an important role in enhancing healthcare in emergency settings. When compared to human decision-makers, AI is more unbiased and accurate. Artificial intelligence (AI) performance can be improved by building interconnected data registries. Compared to gynecologists' and obstetricians' risk and outcome estimations, AI-prediction tools perform better in emergency scenarios like endometriosis and acute abdominal pain, according to validation study conducted in these contexts. Artificial intelligence and its potential advantages were widely accepted. Data governance, accountability for mistakes, and security concerns are some of the ethical challenges associated with AI. Medical staff members who work in emergency rooms require artificial intelligence training. Final thoughts In order to incorporate AI into their future practice according to established standards, healthcare providers should familiarize themselves with its expected function in gynecologic and obstetric emergencies, as well as its indications, limitations, and ethical considerations.

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