医疗保健中基于人工智能聊天机器人的临床试验的质量评估:系统文献综述方案制定中需要考虑的要点

J. Czere, L. Gulácsi, Z. Zrubka, M. Péntek
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引用次数: 0

摘要

基于人工智能(AI)的聊天机器人在医疗保健领域被用作治疗剂或工具,以支持不同的医疗保健功能。它们的有效性和安全性背后的证据必须通过科学合理的临床试验来证明。系统文献综述(SLR)是一种科学方法,允许识别,选择和批判性地通知现有的经验证据。单反研究方案的制定是一项具有挑战性的任务,其中研究目标是明确的,并通过迭代工作转化为文献检索和分析计划。在本文中,我们介绍了开发单反研究方案的主要步骤,重点关注涉及医疗保健中基于人工智能的聊天机器人的临床试验的报告质量。我们将介绍我们单反工作的具体目标和协议是如何制定的。我们提请注意在处理基于人工智能的卫生技术的单反中值得考虑的一些方法和来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality assessment of clinical trials with artificial intelligence based chatbots in healthcare: points to consider in the protocol development for a systematic literature review
Artificial intelligence (AI) based chatbots are used in healthcare either as therapeutic agents or tools to support different healthcare functions. Evidence behind their effectiveness and safety have to be proved by scientifically sound clinical trials. Systematic literature review (SLR) is a scientific method that allows to identify, select and critically apprise available empirical evidence. Development of the research protocol for an SLR is a challenging task in which research goals are defined and translated into a literature search and analysis plan via an iterative work. In this paper we present the main steps of the development of our research protocol for an SLR focusing on the reporting quality of clinical trials involving AI based chatbots in healthcare. We introduce how the specific goal and protocol of our SLR work was developed. We draw attention to some methods and sources that deserve consideration in SLRs dealing with AI based health technologies.
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