Artificial intelligence and innovation to optimize the tuberculosis diagnostic process
DOI:
https://doi.org/10.17843/rpmesp.2020.373.5585Keywords:
Tuberculosis, Diagnosis, Artificial Intelligence, Inventions, Urban Health, PeruAbstract
Tuberculosis remains an urgent issue on the urban health agenda, especially in low- and middle-income countries. There is a need to develop and implement innovative and effective solutions in the tuberculosis diagnostic process. In this article, We describe the importance of artificial intelligence as a strategy to address tuberculosis control, particularly by providing timely diagnosis. Besides technological factors, the role of socio-technical, cultural and organizational factors is emphasized. The eRx tool involving deep learning algorithms and specifically the use of convolutional neural networks is presented as a case study. eRx is a promising artificial intelligence-based tool for the diagnosis of tuberculosis; which comprises a variety of innovative techniques involving remote X-ray analysis for suspected tuberculosis cases. Innovations based on artificial intelligence tools can optimize the diagnostic process for tuberculosis and other communicable diseases.Downloads
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Published
2020-08-20
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Special Section
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Copyright (c) 2020 Revista Peruana de Medicina Experimental y Salud Pública
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
1.
Curioso WH, Brunette MJ. Artificial intelligence and innovation to optimize the tuberculosis diagnostic process. Rev Peru Med Exp Salud Publica [Internet]. 2020 Aug. 20 [cited 2024 Nov. 2];37(3):554-8. Available from: https://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/5585