RosaIA – desenvolvimento e validação de um protótipo de inteligência artificial integrada ao whatsapp para prevenção do câncer de mama
Keywords:
Inteligência Artificial, Chatbot, WhatsApp, Prevenção, Câncer de MamaAbstract
Abstract: Artificial Intelligence (AI) has emerged as a strategic ally in promoting health, especially in prevention and health education initiatives. This article presents the development and initial validation of RosaIA, an educational chatbot prototype integrated with WhatsApp, designed to provide reliable information about breast cancer. The tool utilizes natural language processing algorithms and machine learning, operating through the integration of Python, Twilio, and the Gemini language model developed by Google DeepMind. RosaIA was trained with content validated by specialists, aligned with the guidelines of the Brazilian Ministry of Health, the National Cancer Institute (INCA), and technical literature in radiology, ensuring empathetic, clear, and scientifically grounded responses. The project is currently in the phase of technical and scientific validation, involving health and technology professionals. Preliminary results indicate that the tool has the potential to expand access to information, encourage adherence to preventive screenings, and strengthen breast health literacy, especially in populations with limited access to specialized services. This study is part of a scientific initiation project linked to a University Center in the Federal District of Brazil, with completion expected in 2025.
Downloads
References
AHMAD, I. et al. A survey on artificial intelligence approaches in supporting front-line workers and decision makers for COVID-19 pandemic. Chaos, Solitons & Fractals, v. 139, p. 110256, 2021. DOI:
https://doi.org/10.1016/j.chaos.2020.110256.
BRASIL. Ministério da Saúde. Revolução da inteligência artificial: uso na saúde traz novas possibilidades. Disponível em: https://bvsms.saude.gov.br/revolucao-da- inteligencia-artificial-uso-na-saude-traz-novas-possibilidades/. Acesso em: 23 out. 2024.
CARDOSO, G. D. L. et al. Avaliação da eficiência dos chatbots na telemedicina: impactos e desafios para a saúde moderna. Ciências da Saúde, v. 28, n. 138, set. 2024. Disponível em: https://revistaft.com.br/avaliacao-da-eficiencia-dos-chatbots- na-telemedicina-impactos-e-desafios-para-a-saude-moderna/. Acesso em: 30 set. 2024.
COFEN. Estima-se que o Brasil registre 73.610 novos casos de câncer de mama até 2025, aponta INCA. 2024. Disponível em: https://www.cofen.gov.br/. Acesso em: 23 out. 2024.
ESTEVA, A. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature, v. 542, n. 7639, p. 115-118, 2017.
GOOGLE DEEPMIND. Introducing Gemini: our most capable and general AI model yet. 2023. Disponível em: https://deepmind.google/discover/blog/introducing- gemini. Acesso em: 22 abr. 2025.
INSTITUTO NACIONAL DE CÂNCER (Brasil). Controle do câncer de mama no Brasil: dados e números 2024. Rio de Janeiro: INCA, 2024.
LUTZ, M. Learning Python. 5. ed. Sebastopol: O’Reilly Media, 2021.
MOORHEAD, S. A. et al. A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research, v. 15, n. 4, e85, 2013.
MURTA, S. G. et al., org. Promoção da Saúde e Prevenção de Agravos à Saúde: diálogos de Norte a Sul. Série Vivências em Educação na Saúde. 1. ed. Porto Alegre: RedeUnida, 2021.
ROMÉRO, M. M.; BASTOS, C. R. Avaliação do uso de chatbots por parte das empresas como meio de atendimento ao consumidor. 2019. Trabalho de Conclusão de Curso (Pós-Graduação em Web Intelligence & Digital Analytics) – COPPE UFRJ, Centro de Referência em Inteligência Empresarial, Rio de Janeiro, 2019.
TOPOL, E. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books, 2019.
TWILIO. Twilio Docs – Messaging Services. 2024. Disponível em: https://www.twilio.com/docs/usage/api. Acesso em: 22 abr. 2025.
VAN ROSSUM, G.; DRAKE, F. L. The Python Language Reference Manual. Bristol: Network Theory Ltd., 2009.
WORLD HEALTH ORGANIZATION (WHO). Ethics and governance of artificial intelligence for health: WHO guidance. Geneva: WHO, 2021. Disponível em: https://www.who.int/publications/i/item/9789240029200. Acesso em: 21 abr. 2025.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Revista Interdisciplinar de Pesquisa em Engenharia

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Given the public access policy of the journal, the use of the published texts is free, with the obligation of recognizing the original authorship and the first publication in this journal. The authors of the published contributions are entirely and exclusively responsible for their contents.
1. The authors authorize the publication of the article in this journal.
2. The authors guarantee that the contribution is original, and take full responsibility for its content in case of impugnation by third parties.
3. The authors guarantee that the contribution is not under evaluation in another journal.
4. The authors keep the copyright and convey to the journal the right of first publication, the work being licensed under a Creative Commons Attribution License-BY.
5. The authors are allowed and stimulated to publicize and distribute their work on-line after the publication in the journal.
6. The authors of the approved works authorize the journal to distribute their content, after publication, for reproduction in content indexes, virtual libraries and similars.
7. The editors reserve the right to make adjustments to the text and to adequate the article to the editorial rules of the journal.







