Inteligência Artificial: Avanços no Combate Ao Câncer de Pulmão

Gabriel Azevedo dos Santos; Anna Cláudia dos Santos Nobre; Karliane Medeiros Ovidio Vale; Ana Flavia de Souza Timoteo; Paula Gonçalves Serafini

doi:10.36489/saudecoletiva.2025v16i100p17236-17249

Authors

Gabriel Azevedo dos Santos Bacharel em Sistemas de Informação (UFRN) https://orcid.org/0009-0003-1795-1574
Anna Cláudia dos Santos Nobre Doutora em Administração (UFRN) https://orcid.org/0000-0003-1351-4265
Karliane Medeiros Ovidio Vale Doutora em Sistemas e Computação (UFRN) https://orcid.org/0000-0001-9845-8156
Ana Flavia de Souza Timoteo Mestra em Gestão da Informação e do Conheci- mento (UFRN) https://orcid.org/0009-0009-6847-9074
Paula Gonçalves Serafini Mestra em Engenharia de Produção (UFRN; SE- NAC) https://orcid.org/0000-0002-0826-353X

DOI:

https://doi.org/10.36489/saudecoletiva.2025v16i100p17236-17249

Keywords:

Artificial Intelligence, Lung Cancer, Tertiary Review, Medical Diagnosis, Health Technologies

Abstract

This study aimed to identify advances in artificial intelligence (AI) in the fight against lung cancer through a tertiary literature review. The methodology followed the approach proposed by Felizardo et al.⁽¹⁴⁾, consisting of the stages of planning, execution, and publication of results. Between September and November 2024, 22 studies were analyzed from the PubMed and Web of Science databases. The results indicate that AI has the potential to improve diagnosis, optimize resources, and accelerate the start of treatments. However, it still faces challenges such as limited diversity and quality of training data, as well as ethical issues involving privacy and transparency. It is concluded that, despite these limitations, AI represents significant progress in addressing lung cancer, and further reviews on its application in other types of cancer are recommended.

References

Wang HR, Jing YH. Research on the Application of Artificial Intelligence in the Development of Biomedicine and Oncology. 2023 Jan 6;68–71.

Kanan M, Alharbi H, Alotaibi N, Lubna Almasuood, Shahad Aljoaid, Alharbi T, et al. AI-Driven Models for Diagnosing and Predicting Outcomes in Lung Cancer: A Systematic Review and Meta-Analysis. Cancers. 2024 Feb 5;16(3):674.

‌3.Santos M de O, Lima FC da S de, Martins LFL, Oliveira JFP, Almeida LM de, Cancela M de C. Estimativa de Incidência de Câncer no Brasil, 2023-2025. Revista Brasileira de Cancerologia [Internet]. 2023 Feb 6;69(1). Available from: https://rbc.inca.gov.br/index.php/revista/article/view/3700/2644

‌4.MINISTÉRIO DA SAÚDE Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA) 6a edição revista e atualizada [Internet]. Available from: https://www.inca.gov.br/sites/ufu.sti.inca.local/files//media/document/livro_abc_6ed_0.pdf

SBCO [Internet]. Saiba quais casos de câncer de pulmão precisam de cirurgia • SBCO; [citado 11 dez 2024]. Disponível em: https://sbco.org.br/saiba-quais-casos-de-cancer-de-pulmao-precisam-de-cirurgia/

‌6.O’Connor S, Vercell A, Wong D, Yorke J, Fatmah Abdulsamad Fallatah, Cave L, et al. The application and use of artificial intelligence in cancer nursing: A systematic review. European journal of oncology nursing. 2024 Feb 1;68:102510.

Global Cancer Observatory [Internet]. Global Cancer Observatory; [citado 10 dez 2024]. Disponível em: https://gco.iarc.fr/

‌8.Didier AJ, Nigro A, Noori Z, Omballi MA, Pappada SM, Hamouda DM. Application of machine learning for lung cancer survival prognostication—A systematic review and meta-analysis. Frontiers in artificial intelligence. 2024 Apr 5;7.

‌9.Joo MS, Pyo KH, Chung JM, Cho BC. Artificial intelligence-based non-small cell lung cancer transcriptome RNA-sequence analysis technology selection guide. Frontiers in bioengineering and biotechnology. 2023 Feb 15;11.

‌10.Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians [Internet]. 2024 Apr 4;74(3):229–63. Available from: https://acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21834

‌11.World Health Organization. Cancer [Internet]. World Health Organization. World Health Organization; 2025. Available from: https://www.who.int/news-room/fact-sheets/detail/cancer

‌12.Hsu YC, Tsai YH, Weng HH, Hsu LS, Tsai YH, Lin YC, et al. Artificial neural networks improve LDCT lung cancer screening: a comparative validation study. BMC Cancer. 2020 Oct 22;20(1).

‌13.Lancaster HL, Heuvelmans MA, Oudkerk M. Low‐dose computed tomography lung cancer screening: Clinical evidence and implementation research. Journal of Internal Medicine. 2022 Mar 24;292(1):68–80.

‌14.Felizardo KR, Nakagawa EY, Fabbri SCPF, Ferrari FC. Revisão Sistemática da Literatura em Engenharia de Software: teoria e prática. 1st ed. Elsevier, editor. 2017.

Kitchenham B, Pretorius R, Budgen D, Pearl Brereton O, Turner M, Niazi M, et al. Systematic literature reviews in software engineering – A tertiary study. Information and Software Technology [Internet]. 2010 Aug [cited 2019 Sep 11];52(8):792–805. Available from: https://dl.acm.org/citation.cfm?id=1808650

‌16.Imtiaz S, Bano M, Ikram N, Niazi M. A tertiary study. Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering - EASE ’13. 2013;

‌17.Verner JM, Brereton OP, Kitchenham B, Turner M, Niazi M. Systematic literature reviews in global software development: a tertiary study. 2012 May 14;