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arXiv · 1908.00381

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

S. P. Morozov·A. V. Vladzymyrskyy·V. G. Klyashtornyy·A. E. Andreychenko·N. S. Kulberg·V. A. Gombolevsky·K. A. Sergunova
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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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S. P. Morozov, A. V. Vladzymyrskyy, V. G. Klyashtornyy, A. E. Andreychenko, N. S. Kulberg, V. A. Gombolevsky, K. A. Sergunova. 2019-08-01. Clinical acceptance of software based on artificial intelligence technologies (radiology). https://arxiv.org/abs/1908.00381

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