可解释人工智能的医疗信任演变:文献计量分析

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-10-03 DOI:10.3390/info14100541
Pummy Dhiman, Anupam Bonkra, Amandeep Kaur, Yonis Gulzar, Yasir Hamid, Mohammad Shuaib Mir, Arjumand Bano Soomro, Osman Elwasila
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引用次数: 2

摘要

物联网、大数据、雾和边缘网络以及人工智能技术的最新发展对包括医疗在内的许多行业产生了深远的影响。人工智能在治疗方面的应用因其难以解释而受到阻碍。可解释人工智能(XAI)是一场革命性的运动,旨在解决这一限制。通过使用决策和预测输出,XAI寻求提高标准AI模型的可解释性。在本研究中,我们考察了医学领域实证XAI研究的全球发展。使用文献计量分析工具VOSviewer和Biblioshiny对Scopus数据库(2019-2022)中的171篇开放获取出版物进行了分析。我们的研究结果指出了该领域的几个增长前景,特别是在诊断成像等医学领域。有109篇研究文章使用XAI进行医疗保健分类、预测和诊断,美国在研究产出方面领先世界。IEEE Access被引用88次,是所有期刊中发表次数最多的。我们的广泛调查涵盖了医疗保健中的一系列XAI应用,如诊断、治疗、预防和缓解,并为对该领域感兴趣的研究人员提供了有用的见解。本报告为未来医疗保健行业的研究工作提供了一个方向。
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Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had a profound impact on a number of industries, including medical. The use of AI for therapeutic purposes has been hampered by its inexplicability. Explainable Artificial Intelligence (XAI), a revolutionary movement, has arisen to solve this constraint. By using decision-making and prediction outputs, XAI seeks to improve the explicability of standard AI models. In this study, we examined global developments in empirical XAI research in the medical field. The bibliometric analysis tools VOSviewer and Biblioshiny were used to examine 171 open access publications from the Scopus database (2019–2022). Our findings point to several prospects for growth in this area, notably in areas of medicine like diagnostic imaging. With 109 research articles using XAI for healthcare classification, prediction, and diagnosis, the USA leads the world in research output. With 88 citations, IEEE Access has the greatest number of publications of all the journals. Our extensive survey covers a range of XAI applications in healthcare, such as diagnosis, therapy, prevention, and palliation, and offers helpful insights for researchers who are interested in this field. This report provides a direction for future healthcare industry research endeavors.
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
期刊最新文献
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