Assess The Pregnant Mother’s Attitude on the Implementation of Artificial Intelligence (AI) In Antenatal and Intranatal Care- A Cross-Sectional Study
DOI:
https://doi.org/10.63682/jns.v14i21S.5597Keywords:
Attitude, Intranatal Mother, Antenatal Mother, Artificial IntelligenceAbstract
ABSTRACT
Artificial Intelligence (AI) is increasingly being explored for its potential to revolutionize healthcare delivery. In obstetrics, AI applications are emerging in areas such as risk prediction for pregnancy complications, automated analysis of ultrasound images, personalized monitoring, and decision support for healthcare professionals during labor and delivery. These technologies hold the promise of improving diagnostic accuracy, enhancing patient safety, and optimizing the overall pregnancy experience.
However, the successful integration of AI in antenatal and intranatal care is not solely dependent on technological advancements. The attitude and acceptance of the end-users, particularly pregnant mothers, are critical factors that can influence the adoption and effectiveness of these tools. Understanding their beliefs, attitudes, and concerns regarding AI in such a sensitive and personal experience is essential.
This cross-sectional study seeks to address this gap by investigating the attitude of pregnant mothers on the implementation of AI in their antenatal and intranatal care. By exploring their understanding of AI, perceived benefits and risks, trust in AI-driven systems, and ethical considerations, this research aims to provide a comprehensive assessment of maternal viewpoints. The findings will contribute to a more nuanced understanding of the socio-technical aspects of AI integration in obstetrics, paving the way for a more patient-centered and ethically sound implementation.
The landscape of healthcare is undergoing a significant transformation, driven by the rapid advancements in Artificial Intelligence (AI). This technological 1 paradigm shift presents unprecedented opportunities to enhance the efficiency, accuracy, and personalization of medical care across various specialties. Obstetrics, a field deeply rooted in human interaction and nuanced clinical judgment, is not immune to this evolving landscape. The potential for AI to augment and even transform antenatal (pregnancy before birth) and intranatal (during labor and delivery) care is becoming increasingly tangible. From sophisticated risk stratification tools that can identify pregnancies at higher risk of complications to AI-powered ultrasound analysis aiding in fetal monitoring and diagnostic accuracy, the applications of AI in this domain are diverse and rapidly expanding.
This cross-sectional study aims to delve into these critical aspects by systematically assessing the perspectives of pregnant mothers on the potential implementation of AI in their antenatal and intranatal care journey. By capturing their awareness, perceived benefits and risks, levels of trust, ethical considerations, and overall acceptance, this research seeks to provide a crucial patient-centered lens through which the future of AI in obstetrics can be thoughtfully and responsibly shaped. The findings will offer invaluable guidance for healthcare professionals, AI developers, and policymakers as they navigate the complex landscape of integrating cutting-edge technology into the deeply personal and significant experience of bringing new life into the world. Ultimately, the goal is to ensure that the implementation of AI in antenatal and intranatal care is not only technologically advanced but also deeply aligned with the needs, values, and well-being of pregnant mothers.
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References
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