Abstract This is a short review and commentary on a paper that was recently published, regarding the employment of an Artificial Intelligence system for targeted testing of travellers for SARS-CoV-2 at the border checks during the summer of 2020 in Greece. The core thesis of the paper is that the system offered significant accuracy and risk mitigation mechanisms for this task. However, the methodology and the supportive material presented therein shows several deficiencies and biases that do not properly justify such claim. The main problems with the paper are presented here, with short discussion about how they should be addressed by the authors.

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