Ana-Maria Ungureanu, Sergiu-Ciprian Matei, Daniel Malita
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引用次数: 0
Abstract
Background/Objectives: Artificial intelligence (AI) is gaining an increasing amount of influence in various fields, including medicine. In radiology, where diagnoses are based on collaboration between diagnostic devices and the professional experience of radiologists, AI intervention seems much easier than in other fields, but this is often not the case. Many times, the patients orient themselves according to the doctor, which is not applicable in the case of AI. Another limitation rests in the controversies regarding medico-legal liability. In the field of radio-imaging in Romania, the implementation of AI systems in diagnosis is at its beginning. An important aspect of this is raising awareness among the population about these assistive AI systems and, also, awareness of the technological evolution of AI among medical staff. This narrative review manuscript analyzes the existing literature data regarding the medico-legal aspects of AI application in radiology, highlighting the controversial aspects and the lack of statutory legislative regulations in Romania. Methods: A detailed search was conducted across three electronic databases including MEDLINE/PubMed, Scopus, and Web of Science, with 53 papers serving as the literature corpus of our review. Results: General requirements for artificial intelligence systems used in radiology have been established. In the radiological diagnostic process, there are five levels of AI system implication. Until now, completely autonomous AI systems have not been used. Regarding liability in the case of malpractice, at the currently accepted legislative level, most of the time, the radiologist is liable for their own fault or non-compliant use of diagnostic AI systems. Controversies arise in the case of radio-imaging diagnosis in which AI systems act autonomously. Conclusions: In order for AI diagnostic radio-imaging systems to be implemented, they must meet certain quality standards and be approved. The radiologist must know these systems, accept them, know their limits, and validate them in accordance with their degree of involvement in radiological diagnosis. Considering the evolution of technology in the Romanian medical system, including radiology, in the future, an alignment with the legal standards established/proposed at the European level is desired.
背景/目的:人工智能(AI)在包括医学在内的各个领域的影响力越来越大。在放射学中,诊断是基于诊断设备和放射科医生的专业经验之间的协作,人工智能干预似乎比其他领域容易得多,但情况往往并非如此。很多时候,病人会根据医生的指示来定位自己,这在人工智能的情况下是不适用的。另一个限制在于关于医疗法律责任的争议。在罗马尼亚的放射成像领域,人工智能系统在诊断中的实施才刚刚开始。其中一个重要方面是提高人们对这些辅助人工智能系统的认识,同时提高医务人员对人工智能技术发展的认识。这篇叙述性评论手稿分析了关于人工智能在放射学中应用的医学法律方面的现有文献数据,突出了罗马尼亚有争议的方面和缺乏法定立法法规。方法:对MEDLINE/PubMed、Scopus和Web of Science三个电子数据库进行详细检索,选取53篇论文作为我们综述的文献语料库。结果:建立了放射学应用人工智能系统的一般要求。在放射诊断过程中,人工智能系统的含义有五个层次。到目前为止,完全自主的人工智能系统还没有被使用。关于医疗事故的责任,在目前公认的立法层面,大多数情况下,放射科医生对自己的错误或不合规使用诊断人工智能系统承担责任。在人工智能系统自主行为的放射成像诊断中,出现了争议。结论:人工智能诊断放射成像系统必须达到一定的质量标准并获得批准才能得以实施。放射科医生必须了解这些系统,接受它们,了解它们的局限性,并根据他们参与放射诊断的程度来验证它们。考虑到罗马尼亚医疗系统技术的发展,包括放射学,在未来,希望与欧洲一级建立/提出的法律标准保持一致。
DiagnosticsBiochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
4.70
自引率
8.30%
发文量
2699
审稿时长
19.64 days
期刊介绍:
Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnostics. It publishes original research articles, reviews, communications and short notes on the research and development of medical diagnostics. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.