V. Zinchenko, K. Arzamasov, A. Vladzymyrskyy, Yuriy A. Vasilev
{"title":"Technological defects of software based on artificial intelligence technology.","authors":"V. Zinchenko, K. Arzamasov, A. Vladzymyrskyy, Yuriy A. Vasilev","doi":"10.17816/dd501759","DOIUrl":null,"url":null,"abstract":"Background: Technological defects are critical to deciding on the practical applicability and clinical value of software based AI. \nAims: Technological defects, their analysis, structuring is an important task when deciding on the possibility of working in medical organizations, the effectiveness and safety of software based AI. \nMaterials and methods: Monitoring of technological parameters for all participating solutions at the testing stage and at the trial operation stage carried out in an experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images and further application in the Moscow healthcare system. \nResults: The article presents graphical information on the average number of technological defects for the direction of preventive research in 2021. This period is the most significant and characterize by active development, an increase in the technical stability of the software. \nConclusions: The analysis allows us to trace the trend towards a decrease in the number of technological defects. This indicates an increase in the quality of the software based AI due to periodic monitoring.","PeriodicalId":34831,"journal":{"name":"Digital Diagnostics","volume":"35 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Diagnostics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17816/dd501759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Technological defects are critical to deciding on the practical applicability and clinical value of software based AI.
Aims: Technological defects, their analysis, structuring is an important task when deciding on the possibility of working in medical organizations, the effectiveness and safety of software based AI.
Materials and methods: Monitoring of technological parameters for all participating solutions at the testing stage and at the trial operation stage carried out in an experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images and further application in the Moscow healthcare system.
Results: The article presents graphical information on the average number of technological defects for the direction of preventive research in 2021. This period is the most significant and characterize by active development, an increase in the technical stability of the software.
Conclusions: The analysis allows us to trace the trend towards a decrease in the number of technological defects. This indicates an increase in the quality of the software based AI due to periodic monitoring.