I.S. Shipilov, A. Bakaev, A.Sh. Bobokhodzhiev, D.B. Kyagova, Robert Chotchaev, A. Muzafarova, I.U. Golubev, S.A. Pergunov
{"title":"Problematic aspects of the use of artificial intelligence capabilities in modern medical diag-nostics","authors":"I.S. Shipilov, A. Bakaev, A.Sh. Bobokhodzhiev, D.B. Kyagova, Robert Chotchaev, A. Muzafarova, I.U. Golubev, S.A. Pergunov","doi":"10.18137/cardiometry.2023.27.101110","DOIUrl":null,"url":null,"abstract":"Modern medical diagnostics makes it possible to establish the presence of signs of a particular disease and enable specialists to prescribe a complex of therapeutic and medicinal measures to patients in a timely manner in accordance with the established diagnosis. However, in some cases, it is not always possible to diagnose a particular disease at an early stage due to the imperfection of diagnostic tools. In the recent period, the possibilities of artificial intelligence have been used in medical diagnostics, which significantly expands the capabilities of specialists in the field of establishing early key symptoms of the disease. However, the use of artificial intelligence capabilities in medical diagnostics is associated with a number of problems, the presence of which does not allow to realize the possibilities of digital technologies in full. The solution of these problems, according to the authors of the article, is highly relevant, since it can give a significant impetus to the development of diagnostic medical technologies, which will allow timely provision of high-quality medical care to patients.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiometry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18137/cardiometry.2023.27.101110","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
Modern medical diagnostics makes it possible to establish the presence of signs of a particular disease and enable specialists to prescribe a complex of therapeutic and medicinal measures to patients in a timely manner in accordance with the established diagnosis. However, in some cases, it is not always possible to diagnose a particular disease at an early stage due to the imperfection of diagnostic tools. In the recent period, the possibilities of artificial intelligence have been used in medical diagnostics, which significantly expands the capabilities of specialists in the field of establishing early key symptoms of the disease. However, the use of artificial intelligence capabilities in medical diagnostics is associated with a number of problems, the presence of which does not allow to realize the possibilities of digital technologies in full. The solution of these problems, according to the authors of the article, is highly relevant, since it can give a significant impetus to the development of diagnostic medical technologies, which will allow timely provision of high-quality medical care to patients.
期刊介绍：
Cardiometry is an open access biannual electronic journal founded in 2012. It refers to medicine, particularly to cardiology, as well as oncocardiology and allied science of biophysics and medical equipment engineering. We publish mainly high quality original articles, reports, case reports, reviews and lectures in the field of the theory of cardiovascular system functioning, principles of cardiometry, its diagnostic methods, cardiovascular system therapy from the aspect of cardiometry, system and particular approaches to maintaining health, engineering peculiarities in cardiometry developing. The interdisciplinary areas of the journal are: hemodynamics, biophysics, biochemistry, metrology. The target audience of our Journal covers healthcare providers including cardiologists and general practitioners, bioengineers, biophysics, medical equipment, especially cardiology diagnostics device, developers, educators, nurses, healthcare decision-makers, people with cardiovascular diseases, cardiology and engineering universities and schools, state and private clinics. Cardiometry is aimed to provide a wide forum for exchange of information and public discussion on above scientific issues for the mentioned experts.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
