Arquivos de Asma, Alergia e Imunologia
https://aaai-asbai.org.br/article/doi/10.4322/2526-5393.20250037
Arquivos de Asma, Alergia e Imunologia
Editorial

Inteligência Artificial como aliada para abordagem de Erros Inatos da Imunidade: uma experiência pioneira no Brasil

Artificial intelligence as an ally in the approach to inborn errors of immunity: a pioneering experience in Brazil

Marina Mayumi Vendrame Takao, Marta Duran Fernandez, Marcos Tadeu Nolasco da-Silva, Adriana Gut Lopes Riccetto

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Referências

1. Martinson AK, Chin AT, Butte MJ, Rider NL. Artificial Intelligence and Machine Learning for Inborn Errors of Immunity: Current State and Future Promise. J Allergy Clin Immunol Pract. 2024 Oct;12(10):2695-704. doi: 10.1016/j.jaip.2024.08.012.

2. Taietti I, Votto M, Colaneri M, Passerini M, Leoni J, Marseglia GL, et al. Application of Artificial Intelligence in Inborn Errors of Immunity Identification and Management: Past, Present, and Future-A Systematic Review. J Clin Med. 2025 Aug 23;14(17):5958. doi: 10.3390/jcm14175958.

3. Rivière JG, Soler-Palacín P, Peng XP, Butte MJ. Artificial intelligence applications in immunodeficiencies: current state and future challenges. J Allergy Clin Immunol. 2025;156(4):878-89. doi:10.1016/j.jaci.2025.06.015.

4. Soler-Palacín P, Rivière JG, Burns SO, Rider NL. New tools for diagnosis of primary immunodeficiencies: from awareness to artificial intelligence. Front Immunol. 2025;16:1593897. doi:10.3389/fimmu.2025.1593897.

5. Takao MMV, Carvalho LSF, Silva PGP, Pereira MM, Viana AC, da Silva MTN, et al. Artificial Intelligence in Allergy and Immunology: Comparing Risk Prediction Models to Help Screen Inborn Errors of Immunity. Int Arch Allergy Immunol. 2022;183(11):1226-30. doi: 10.1159/000526204.

6. Khoury P, Srinivasan R, Kakumanu S, Ochoa S, Keswani A, Sparks R, et al. A framework for augmented intelligence in allergy and immunology practice and research: a work group report of the AAAAI Health Informatics, Technology, and Education Committee. J Allergy Clin Immunol Pract. 2022;10(5):1178-88. doi:10.1016/j.jaip.2022.08.041.

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