Artificial intelligence in epidemic management: transforming public health in Brazil and beyond

Main Article Content

Luciano Magalhães Vitorino
https://orcid.org/0000-0003-1023-8488
Gerson Hiroshi Yoshinari Júnior
https://orcid.org/0000-0001-5837-5743


Article Details

How to Cite
1.
Vitorino LM, Yoshinari Júnior GH. Artificial intelligence in epidemic management: transforming public health in Brazil and beyond. HSJ [Internet]. 2024 Nov. 5 [cited 2024 Dec. 21];14(1):e1579. Available from: https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1579
Section
EDITORIAL
Author Biographies

Luciano Magalhães Vitorino, Faculdade de Medicina de Itajubá

Professor at Faculty of Medicine of Itajubá, Itajubá, Minas Gerais, Brazil.

Gerson Hiroshi Yoshinari Júnior, Faculdade de Medicina de Itajubá

Professor at Faculty of Medicine of Itajubá, Itajubá, Minas Gerais, Brazil.

References

MacIntyre CR, Lim S, Quigley A. Preventing the next pandemic: use of artificial intelligence for epidemic monitoring and alerts. Cell Rep Med 2022;3(12):100867. http://doi.org/10.1016/j.xcrm.2022.100867. PMid:36543103.

Luengo-Oroz M, Hoffmann Pham K, Bullock J, Kirkpatrick R, Luccioni A, Rubel S, et al. Artificial intelligence cooperation to support the global response to COVID-19. Nat Mach Intell 2020;2(6):295-7. http://doi.org/10.1038/s42256-020-0184-3.

Syrowatka A, Kuznetsova M, Alsubai A, Beckman AL, Bain PA, Craig KJT, et al. Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases. NPJ Digit Med 2021;4(1):96. http://doi.org/10.1038/s41746-021-00459-8. PMid:34112939.

Wang L, Lin ZQ, Wong A. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images. Sci Rep 2020;10(1):19549. http://doi.org/10.1038/s41598-020-76550-z. PMid:33177550.

Williams CM, Chaturvedi R, Urman RD, Waterman RS, Gabriel RA. Artificial Intelligence and a pandemic: an analysis of the potential uses and drawbacks. J Med Syst 2021;45(3):26. http://doi.org/10.1007/s10916-021-01705-y. PMid:33459840.

Subbiah V. The next generation of evidence-based medicine. Nat Med 2023;29(1):49-58. http://doi.org/10.1038/s41591-022-02160-z. PMid:36646803.

Bragazzi NL, Dai H, Damiani G, Behzadifar M, Martini M, Wu J. How big data and artificial intelligence can help better manage the covid-19 pandemic. Int J Environ Res Public Health 2020;17(9):3176. http://doi.org/10.3390/ijerph17093176. PMid:32370204.

Yoshinari GH Jr, Vitorino LM. How may ChatGPT impact medical teaching? Rev Assoc Med Bras 2023;69(4):e20230282. https://doi.org/10.1590/1806-9282.20230282. PMid:37194805.