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arXiv · 2110.12464

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

Tuomo Kalliokoski
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Abstract

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 findings are that a clinically usable AI needs to have an extremely good documentation, comprehensive statistical analysis of the possible biases and performance, and an explainability module.

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Tuomo Kalliokoski. 2021-10-24. Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data. https://doi.org/10.1109/bibm52615.2021.9669525

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