2023
DOI: 10.7759/cureus.49611
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Empowering Women’s Health: A Global Perspective on Artificial Intelligence and Robotics

Munaza Afaq,
Divya E Abraham,
Saloni H Patel
et al.

Abstract: In our rapidly evolving world, technology stands at the forefront, driving remarkable advancements across various sectors. One of the most notable changes is the use of Artificial Intelligence (AI) and robotics in healthcare, starting a revolution that has the power to change women's health all over the world. Developed nations are already witnessing the benefits. However, a significant portion of the global population in underdeveloped regions is lagging behind, resulting in a noticeable disparity. This is pa… Show more

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Cited by 2 publications
(3 citation statements)
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“…AI and robotics are starting to be deployed in women’s health globally, emphasizing the disparity between developed and underdeveloped regions. This study advocates for an inclusive approach in technology design and implementation to ensure equitable healthcare access, highlighting the importance of multi-sectoral collaborations to foster innovation while mitigating risks [ 41 ]. Not all women may have equal access to the technology needed to interact with AI chatbots, especially in low-resource settings or among older populations.…”
Section: Discussionmentioning
confidence: 99%
“…AI and robotics are starting to be deployed in women’s health globally, emphasizing the disparity between developed and underdeveloped regions. This study advocates for an inclusive approach in technology design and implementation to ensure equitable healthcare access, highlighting the importance of multi-sectoral collaborations to foster innovation while mitigating risks [ 41 ]. Not all women may have equal access to the technology needed to interact with AI chatbots, especially in low-resource settings or among older populations.…”
Section: Discussionmentioning
confidence: 99%
“…Women's health AI research has mostly addressed diseases impacting the cardiovascular system, breasts, bones, cervix, and endometrium. Artificial neural networks (ANNs) and classification and regression trees have been used to predict endometrial cancer in postmenopausal women and assess the role of different human papillomavirus types in cervical dysplasia recurrence risk [8,9]. While the paper acknowledges the broader spectrum of AI applications in women's health, including reproductive health, maternal care, fertility tracking, pregnancy monitoring, and chronic disease management, it neural network frameworks to predict genetic markers in gliomas based on magnetic resonance imaging data.…”
Section: Areas Of Impactmentioning
confidence: 99%
“…DOI: https://doi.org/10.47275/2692-0948-157 pivotal for embryo implantation, thereby enhancing the likelihood of successful pregnancies. The amalgamation of robotics, virtual reality, and augmented reality, intertwined with high-powered AI algorithms, has manifested notable progress in refining surgical precision, postoperative care, reproductive technologies, and medical imaging, including simulations for laparoscopic and robotic surgeries [9]. Women may now access trustworthy and culturally appropriate information on a variety of health subjects, from menstrual health and fertility management to prenatal care and menopause.…”
Section: Anaemia Detectionmentioning
confidence: 99%