Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data

@article{Kalliokoski2021RequirementAF,
  title={Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data},
  author={Tuomo Kalliokoski},
  journal={2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2021},
  pages={3157-3164}
}
  • T. Kalliokoski
  • Published 24 October 2021
  • Engineering, Computer Science
  • 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
There are multiple papers published about different AI models for the COVID-19 diagnosis with promising results. Unfortunately according to the reviews many of the papers do not reach the level of sophistication needed for a clinically usable model. In this paper I go through multiple review papers, guidelines, and other relevant material in order to generate more comprehensive requirements for the future papers proposing a AI based diagnosis of the COVID-19 from chest X-ray data (CXR). Main… 

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