Optimizing Perimenopausal Care

Abstract

This chapter delves into the complex subject matter of perimenopause, harnessing the power of explainable artificial intelligence (AI) to improve precision, accountability, and transparency in diagnosing and comprehending this critical stage in women's lives. In order to address the varied nature of perimenopausal symptoms and their major impact on quality of life, diagnostic techniques that are not only modern but also simple and trustworthy are required. This chapter meticulously dissects the potential of explainable AI in this context, ensuring ethical responsibility, clarity, and reliability in handling sensitive health data through a robust non-empirical research methodology involving extensive literature review, case analyses, and theoretical exploration. It intends to give a complete analysis, strengthening the knowledge base, application, and ethical issues around these AI models, and ultimately contributing to the growth of individualized and effective healthcare solutions.