PhthisisBioMed Artificial Medical Intelligence: Software for Automated Analysis of Digital Chest X-ray/Fluorograms.

IF 1.1 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Sovremennye Tehnologii v Medicine Pub Date : 2023-01-01 Epub Date: 2023-07-28 DOI:10.17691/stm2023.15.4.01
Y T Gogoberidze, V I Klassen, M Y Natenzon, I A Prosvirkin, A V Vladzimirsky, D E Sharova, V V Zinchenko
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引用次数: 0

Abstract

The scope of diagnostic medical examinations increases from year to year causing a reasonable desire to develop and implement new technologies to diagnostics and medical data analysis. Artificial intelligence (AI) algorithms became one of the most promising solutions to this problem and proved themselves in the course of mass practical application. During the three-year Moscow experiment started in 2020, the possibility was achieved to develop methodologies of AI use and to successfully implement it into the regional level healthcare system. In this article, the authors share their experience in developing a medical AI service using the example of PhthisisBioMed AI service and the results of its application in real clinical activities environment. This AI service has shown its quality and reliability confirmed by technological monitoring. Clinical trials of PhthisisBioMed AI service were conducted on a specially prepared verified data set (n=1536) considering epidemiological indicators of the thoracic organs major diseases prevalence. The mean sensitivity of the service was 0.975 (95% CI: 0.966-0.984). PhthisisBioMed medical AI service is registered as a medical device (medical device registration certificate No.RZN 2022/17406 dated May 31, 2022) and is actively used in the Russian Federation as a diagnostic tool to reduce the burden on radiologists and to accelerate the process of medical report obtaining.

PhthisisBioMed人工医疗智能:数字胸部x线/透视图自动分析软件
医疗诊断检查的范围逐年扩大,因此人们迫切希望开发和采用新技术来进行诊断和医疗数据分析。人工智能(AI)算法成为解决这一问题的最有前途的方案之一,并在大规模实际应用过程中证明了自己。在 2020 年开始的为期三年的莫斯科实验中,人工智能的使用方法得到了发展,并成功地应用到了地区一级的医疗保健系统中。在本文中,作者以 "PhthisisBioMed "人工智能服务为例,分享了他们开发医疗人工智能服务的经验及其在实际临床活动环境中的应用成果。这项人工智能服务的质量和可靠性得到了技术监测的证实。咽炎生物医学人工智能服务的临床试验是在专门准备的验证数据集(n=1536)上进行的,考虑到了胸部器官主要疾病流行病学指标。该服务的平均灵敏度为 0.975(95% CI:0.966-0.984)。PhthisisBioMed 医疗人工智能服务已注册为医疗器械(医疗器械注册证号:RZN 2022/17406,日期为 2022 年 5 月 31 日),并在俄罗斯联邦作为诊断工具积极使用,以减轻放射科医生的负担并加快医疗报告的获取过程。
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来源期刊
Sovremennye Tehnologii v Medicine
Sovremennye Tehnologii v Medicine MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
1.80
自引率
0.00%
发文量
38
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