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Clinical acceptance of software based on artificial intelligence technologies (radiology)
August 01, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
S. P. Morozov, A. V. Vladzymyrskyy, V. G. Klyashtornyy, A. E. Andreychenko, N. S. Kulberg, V. A. Gombolevsky, K. A. Sergunova
arXiv ID
1908.00381
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
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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