AIS: Ars Iuris Salmanticensis

Journal out of circulation

AI-Driven Healthcare Solutions for Women: Enhancing Access and Quality of Care

Abstract

The demand for creative ways to increase woman citizens’ access to quality of healthcare, is growing. The physical and mental changes that accompany aging present special health problems for women. A viable solution to these problems is artificial intelligence (ai), which offers cutting-edge instruments and platforms designed especially to meet the medical requirements of women.

ai is being widely used in the creation of healthcare platforms and technologies that are tailored to the unique requirements of women. Among these are intelligent health monitoring devices, which enable continuous assessment of woman’s health condition by tracking and analyzing biometric data in real-time. These systems can recognize anomalous patterns and send out notifications for prompt medical attention using machine learning techniques. For example, smart wearables that track heart rate, activity level, and sleep quality allow medical professionals to closely monitor patients’ physical conditions, perhaps preventing serious health problems before they emerge.

Even with the obvious advantages, there are several obstacles to overcome when integrating ai-driven solutions into the current healthcare systems. The difficulty of integrating new technology with conventional systems is one of the main problems.

A lot of the infrastructures used in healthcare today are not entirely capable of integrating ai technology, which could cause problems with data security and administration. The broad application of ai in healthcare is also hampered by ethical issues with the usage of personal data and protecting user privacy.

In summary, ai has the potential to greatly improve the standard and accessibility of healthcare for women. ai may be used to provide this vulnerable demographic with better and more accurate healthcare services by addressing the issues and putting methods in place that work.

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Bozorgi, M. (2025). AI-Driven Healthcare Solutions for Women: Enhancing Access and Quality of Care. AIS: Ars Iuris Salmanticensis, 13(1), 37–53. https://doi.org/10.14201/AIS20251313753

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