Denis Satoshi Komoda, Marilia Mastrocolla de Almeida Cardoso, Brígida Dias Fernandes, Marília Berlofa Visacri, Carlos Roberto Silveira Correa
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引用次数: 0
摘要
目的：本范围综述旨在对应用人工智能（AI）工具执行人类医疗保健领域健康技术评估任务的研究进行梳理。综述还旨在了解应用人工智能工具的具体过程，并理解这些工具的技术特点：医疗技术评估是一项复杂、耗时且劳动密集型的工作。人工智能自动化技术的发展为加速人类健康环境中的此类评估开辟了新途径。这有可能帮助卫生技术评估研究人员和决策者提供更高质量的证据：本综述将考虑评估人工智能工具在人类健康的任何健康技术评估过程中使用情况的研究。但是，人工智能作为临床辅助手段（如诊断或手术）的出版物将被排除在外：将在 CINAHL (EBSCOhost)、Embase (Ovid)、MEDLINE (PubMed)、Science Direct、Computer and Applied Sciences Complete (EBSCOhost)、LILACS、Scopus 和 Web of Science Core Collection 等数据库中搜索相关文章。将在 GreyLit.Org、ProQuest Dissertations and Theses、Google Scholar 和 Google 搜索引擎中搜索灰色文献。不使用语言过滤器。筛选、选择和数据提取将由两名独立审稿人完成。结果将以图形和表格的形式呈现，并附有叙述性摘要。本综述的详细信息可在开放科学框架中找到：osf.io/3rm8g。
Artificial intelligence applied in human health technology assessment: a scoping review protocol.
Objective: This scoping review aims to map studies that applied artificial intelligence (AI) tools to perform health technology assessment tasks in human health care. The review also aims to understand specific processes in which the AI tools were applied and to comprehend the technical characteristics of these tools.
Introduction: Health technology assessment is a complex, time-consuming, and labor-intensive endeavor. The development of automation techniques using AI has opened up new avenues for accelerating such assessments in human health settings. This could potentially aid health technology assessment researchers and decision-makers to deliver higher quality evidence.
Inclusion criteria: This review will consider studies that assesses the use of AI tools in any process of health technology assessment in human health. However, publications in which AI is a means of clinical aid, such as diagnostics or surgery will be excluded.
Methods: A search for relevant articles will be conducted in databases such as CINAHL (EBSCOhost), Embase (Ovid), MEDLINE (PubMed), Science Direct, Computer and Applied Sciences Complete (EBSCOhost), LILACS, Scopus, and Web of Science Core Collection. A search for gray literature will be conducted in GreyLit.Org, ProQuest Dissertations and Theses, Google Scholar, and the Google search engine. No language filters will be applied. Screening, selection, and data extraction will be performed by 2 independent reviewers. The results will be presented in graphic and tabular format, accompanied by a narrative summary.
Details of this review can be found in open science framework: osf.io/3rm8g.
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