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

2019/08/01 by Morozov, S. P., Vladzymyrskyy, A. V., Klyashtornyy, V. G. +4
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.1908.00381

Abstract

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.

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