Leveraging artificial intelligence to enhance systematic reviews in health research: advanced tools and challenges.

IF 6.3 4区医学 Q1 MEDICINE, GENERAL & INTERNAL

Systematic Reviews Pub Date : 2024-10-25 DOI:10.1186/s13643-024-02682-2

Lixia Ge, Rupesh Agrawal, Maxwell Singer, Palvannan Kannapiran, Joseph Antonio De Castro Molina, Kiok Liang Teow, Chun Wei Yap, John Arputhan Abisheganaden

引用次数: 0

Abstract

Artificial Intelligence (AI) is transforming systematic reviews (SRs) in health research by automating processes such as study screening, data extraction, and quality assessment. This perspective highlights recent advancements in AI tools that enhance efficiency and accuracy in SRs. It discusses the benefits, challenges, and future directions of AI integration, emphasising the need for human oversight to ensure the reliability of AI outputs in evidence synthesis and decision-making in healthcare.

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利用人工智能加强健康研究中的系统综述：先进工具与挑战。

人工智能（AI）通过实现研究筛选、数据提取和质量评估等流程的自动化，正在改变健康研究领域的系统综述（SR）。本视角重点介绍了人工智能工具的最新进展，这些工具提高了系统综述的效率和准确性。它讨论了人工智能整合的益处、挑战和未来方向，强调了人类监督的必要性，以确保人工智能在证据综合和医疗决策中输出的可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Systematic Reviews Medicine-Medicine (miscellaneous)

CiteScore

8.30

自引率

0.00%

发文量

241

审稿时长

11 weeks

期刊介绍： Systematic Reviews encompasses all aspects of the design, conduct and reporting of systematic reviews. The journal publishes high quality systematic review products including systematic review protocols, systematic reviews related to a very broad definition of health, rapid reviews, updates of already completed systematic reviews, and methods research related to the science of systematic reviews, such as decision modelling. At this time Systematic Reviews does not accept reviews of in vitro studies. The journal also aims to ensure that the results of all well-conducted systematic reviews are published, regardless of their outcome.