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Updated: Jan 15, 2026

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In Silico Clinical Trials for Cardiovascular Disease
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人工智能在临床试验设计和科学写作中的作用
Niki Katsara Antonakea1, Julius Chapiro1, Jeff Geschwind2,3
1Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Cardiovascular and interventional radiology
|October 6, 2025
概括
人工智能 (AI) 正在通过改进试验设计,患者招募和手稿创作来彻底改变临床研究和科学写作. 人工智能为医疗研究的效率和创新提供了解决方案.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 科学沟通科学沟通
背景情况:
- 临床研究和科学写作在试验设计,患者招募和手稿开发方面面临效率低下的问题.
- 人工智能 (AI) 为这些挑战提供了潜在的解决方案.
研究的目的:
- 审查AI在临床研究和科学写作中的应用.
- 讨论人工智能整合的挑战和监管框架.
主要方法:
- 对临床研究中人工智能应用的文献综述.
- 对人工智能在科学写作辅助中的作用的分析.
- 检查伦理考虑和监管景观.
主要成果:
- 人工智能应用包括患者匹配,终端设计,预测试验结果和实时监测.
- 人工智能有助于文学审查,内容生成和科学手稿的语言改进.
- 关键的挑战包括数据标准化,可解释性和伦理问题,以及新兴的监管框架.
结论:
- 人工智能正在通过提高效率,降低成本和推动创新来改变医学研究.
- 对人工智能的负责任和透明的整合对于其成功采用至关重要.
- 人工智能具有显著的未来潜力,可以促进科学发现和交流.
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