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
Download data is not yet available.
Downloads
Published
2020-08-20
Issue
Section
Special Section
License
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 Dec. 1];37(3):554-8. Available from: https://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/5585