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European Journal of Nuclear Medicine and Molecular Imaging

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01-12-2019 | Artificial Intelligence | Reply

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

Authors: Martina Sollini, Margarita Kirienko

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 13/2019

Excerpt

We appreciated the comments on our recent review entitled “Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics” [1] by Zhou et al [2]. This allows us to further explain the rationale for our proposal of the research path in image mining field. …

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.

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).

Title: Reply to: “Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings”
Authors: Martina Sollini
Margarita Kirienko
Publication date: 01-12-2019
Publisher: Springer Berlin Heidelberg
Keyword: Artificial Intelligence
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 13/2019
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-019-04494-2

At a glance: The STEP trials

Springer Medicine

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

Excerpt

At a glance: The STEP trials

Springer Medicine

Excerpt

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