Clinical acceptance of software based on artificial intelligence technologies (radiology)

Aim: provide a methodological framework for the process of clinical tests, clinical acceptance, and scientific assessment of algorithms and software based on the artificial intelligence (AI) technologies. Clinical tests are considered as a preparation stage for the software registration as a medical...

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Bibliographic Details
Published inarXiv.org
Main Authors Morozov, S P, Vladzymyrskyy, A V, Klyashtornyy, V G, Andreychenko, A E, Kulberg, N S, Gombolevsky, V A, Sergunova, K A
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 27.02.2020
Subjects
Algorithms
Artificial intelligence
Medical research
Radiology
Software
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Summary:Aim: provide a methodological framework for the process of clinical tests, clinical acceptance, and scientific assessment of algorithms and software based on the artificial intelligence (AI) technologies. Clinical tests are considered as a preparation stage for the software registration as a medical product. The authors propose approaches to evaluate accuracy and efficiency of the AI algorithms for radiology.
ISSN:2331-8422