人工智能在临床试验中的潜力
Rahul Aggarwal1,2, Deepak L Bhatt3
1Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, Massachusetts, USA.
European journal of clinical investigation
|February 28, 2026
概括
人工智能 (AI) 可以通过优化设计,招聘和数据分析来增强临床试验,使其更高效和更具成本效益. 解决数据质量和隐私等挑战对于成功的AI集成至关重要.
科学领域:
- 医学研究 医学研究
- 临床试验的管理管理.
- 人工智能应用的人工智能应用.
背景情况:
- 临床试验面临重大挑战,包括高成本,低效率和人工流程.
- 人工智能 (AI) 为提高整个临床试验生命周期的效率提供了一个有希望的解决方案.
研究的目的:
- 审查AI在临床试验中的新兴应用.
- 突出AI的可行性和对试验过程的潜在影响.
主要方法:
- 对临床试验中人工智能的当前文献的审查.
- 在整个试验生命周期中识别关键的AI应用程序.
主要成果:
- 人工智能在优化试验设计,招聘和数据解释方面显示出潜力.
- 需要解决数据质量,隐私问题和基础设施问题等挑战.
- 强有力的治理,透明度和人类监督对于道德的人工智能实施至关重要.
结论:
- 人工智能可以带来更高效和更具成本效益的临床试验环境.
- 持续验证,监测和适当的治理是实现AI在加速医学发现方面的潜力的关键.
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