利用人工智能来加强卫生研究中的系统审查:先进的工具和挑战
Lixia Ge1, Rupesh Agrawal2, Maxwell Singer3
1Health Services and Outcomes Research, National Healthcare Group, Level 4 @ NSC, 1 Mandalay Rd, Singapore, 308205, Singapore. lixia_ge@nhg.com.sg.
Systematic reviews
|October 26, 2024
概括
人工智能 (AI) 正在通过自动化选和数据提取等关键任务来彻底改变系统审查 (SRs). 人类监督对于确保人工智能仍然至关重要.
科学领域:
- 卫生研究方法论 卫生研究方法论
- 人工智能应用程序 人工智能应用程序
- 证据综合 证据综合
背景情况:
- 系统性审查 (SRs) 对基于证据的医疗保健至关重要.
- 传统的SR是耗时和劳动密集的.
- 人工智能 (AI) 的进步提供了潜在的解决方案.
研究的目的:
- 要突出最近的AI在SRs方面的进步.
- 讨论将人工智能整合到健康研究中的好处和挑战.
- 强调需要在人工智能辅助的SR中进行人类监督.
主要方法:
- 审查目前的AI工具和应用在SRs.
- 分析AI对效率和准确性的影响.
- 讨论道德考虑和未来的方向.
主要成果:
- 人工智能工具显著提高了SR流程的效率和准确性.
- 研究选,数据提取和质量评估的自动化是可行的.
- 人工智能集成为SRs带来了机遇和挑战.
结论:
- 人工智能正在改变健康研究中的系统审查.
- 人类监督对于可靠的人工智能驱动的证据合成至关重要.
- 未来的方向包括优化人工智能与人类的协作,用于医疗保健决策.
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