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Reply to: “Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings”

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  1. Sollini M, Antunovic L, Chiti A, Kirienko M. Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics. Eur J Nucl Med Mol Imaging. 2019. https://doi.org/10.1007/s00259-019-04372-x.

  2. Zhou Q, Cao Y, Chen Z. Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings. Eur J Nucl Med Mol Imaging (2019).

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Funding

MK PhD scholarship was funded by the AIRC grant (IG-2016-18585).

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MS and MK conceptualized and approved the manuscript.

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Correspondence to Margarita Kirienko.

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The authors declare that they have no conflict of interest.

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In view of the nature of the present article an ethical approval was considered unnecessary.

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This article is part of the Topical Collection on Advanced Image Analyses (Radiomics and Artificial Intelligence)

This reply refers to the article available at https://doi.org/10.1007/s00259-019-04493-3

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Sollini, M., Kirienko, M. Reply to: “Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings”. Eur J Nucl Med Mol Imaging 46, 2814–2815 (2019). https://doi.org/10.1007/s00259-019-04494-2

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