Abstract
This concise analysis examines the application of AI, particularly chatbots and natural language processing (NLP), to enhance maternal-infant healthcare in Spain and Brazil, where maternal mortality rates are significantly different, as well as birth rate and reproductive health planning or birth control. The application will be preliminary tested in complex situations regarding these two use cases. It highlights the integration of disruptive technologies into prenatal care, emphasizing the role of AI in facilitating personalized healthcare and self-management through data acquisition on health parameters, such as weight gain, blood pressure, incontinence, mental health, nutrition and physical activity. The study reflects on the impact of digital tools in optimizing patient engagement and early diagnosis of alarm symptoms, showcasing the potential of m-Health applications in transforming care practices and contributing to attaining Global Health Objectives for 2030.
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