Problematic aspects of the use of artificial intelligence capabilities in modern medical diag-nostics

Cardiometry Pub Date : 2023-05-04 DOI:10.18137/cardiometry.2023.27.101110

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.

查看原文本刊更多论文

在现代医学诊断中使用人工智能能力的问题

现代医学诊断可以确定特定疾病迹象的存在，并使专家能够根据既定诊断及时为患者开出复杂的治疗和药物措施。然而，在某些情况下，由于诊断工具的不完善，并不总是能够在早期诊断出特定的疾病。最近一段时间，人工智能的可能性已被用于医学诊断，这大大扩展了专家在确定疾病早期关键症状方面的能力。然而，在医学诊断中使用人工智能功能与许多问题有关，这些问题的存在不允许充分实现数字技术的可能性。文章作者认为，这些问题的解决方案具有高度相关性，因为它可以极大地推动诊断医疗技术的发展，从而为患者及时提供高质量的医疗服务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Cardiometry MEDICAL LABORATORY TECHNOLOGY-

自引率

0.00%

发文量

审稿时长

6 weeks

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.