Health Services and Outcomes Research, National Healthcare Group, Level 4 @ NSC, 1 Mandalay Rd, Singapore, 308205, Singapore.
Tan Tock Seng Hospital, Singapore, Singapore.
Syst Rev. 2024 Oct 25;13(1):269. doi: 10.1186/s13643-024-02682-2.
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.
人工智能(AI)正在通过自动化研究筛选、数据提取和质量评估等流程,改变健康研究中的系统评价(SR)。本文从这一视角强调了 AI 工具在提高 SR 效率和准确性方面的最新进展,探讨了 AI 集成的益处、挑战和未来方向,强调了在医疗保健中的证据综合和决策中,需要人为监督以确保 AI 输出的可靠性。