Technological defects in software based on artificial intelligence

Abstract

BACKGROUND: Technological defects in the use of artificial intelligence software are critical when deciding on the practical applicability and clinical value of artificial intelligence software.
 AIM: To conduct an analysis and systematization of technological defects occurring when artificial intelligence software analyzes medical images.
 MATERIALS AND METHODS: As part of the experiment on the use of innovative computer vision technologies for the analysis of medical images and further application in the Moscow healthcare system, technological parameters of all artificial intelligence software are monitored at the testing and operation stages of the trial. This article presents graphical information on the average number of technological defects in mass mammography screening in 2021. This period was chosen as the most indicative and characterized by the active development of artificial intelligence software and increased technical stability of its performance. To assess the applicability of the analysis for technological defects, a similar analysis was conducted for the direction of detection of intracranial hemorrhage on computed tomography scans of the brain for 2022–2023.
 RESULTS: During the study, artificial intelligence software used for mammography (two algorithms) and brain computed tomography (one algorithm) were analyzed. Fourteen mammography samples were collected for technological monitoring during the identified period, each from 20 studies, and 12 brain computed tomography samples were obtained, each from 80 studies. Graphs were constructed for each type of defect, and trend lines were plotted for each modality. The coefficients of the trend line equations indicate a downward tendency in the number of technological defects.
 CONCLUSION: This analysis allows tracing a downward trend in the number of technological defects, which may indicate a refinement of artificial intelligence software and an increase in its quality because of periodic monitoring. It also shows the versatility of use for both preventive and emergency methods.