  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.
