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Multidisciplinary view of the use of artificial intelligence for natural weight loss as an adjunct to the plantago ovata plant in integrative and complementary health practices
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Keywords

Artificial Intelligence
Plantago Ovata
Weight Loss
Integrative and Complementary Practices
Interdisciplinary Health Team

How to Cite

1.
Voltarelli A, França CC de, França AE de, Hayek RRA, Gaziola LMC, Paulesini Júnior W, Santos MV de O, Lima AS, Ferreira B de AM, Sakman R. Multidisciplinary view of the use of artificial intelligence for natural weight loss as an adjunct to the plantago ovata plant in integrative and complementary health practices. Glob Acad Nurs [Internet]. 2025 Jun. 22 [cited 2026 May 18];6(Sup.1):e465. Available from: https://globalacademicnursing.com/index.php/globacadnurs/article/view/571

Abstract

In daily nursing practice, there is a growing search for safe and effective strategies for weight loss, this being a recurring theme in the demands for health care and education. Among the alternatives studied, the plantago ovata, known as Psyllium, stands out, whose properties promote satiety and regulation of intestinal transit. With technological advances, especially in the field of artificial intelligence (AI), it becomes possible to analyze large volumes of data with greater precision, expanding the understanding of the therapeutic effects of medicinal plants. AI, as an emerging tool in health, allows nurses to integrate clinical knowledge with cutting-edge technologies, using systems capable of simulating human cognitive processes, such as learning and decision-making, an application that is directly reflected in care practice, whether in the personalization of care, diagnostic support or the analysis of clinical data to optimize results. In this promising scenario, the implementation of Integrative and Complementary Health Practices (PICS) in nursing training remains incipient, reflecting a lack of robust scientific evidence regarding its effectiveness in the academic and care context.

https://doi.org/10.5935/2675-5602.20200465
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References

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Copyright (c) 2025 Global Academic Nursing Journal

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