Fogel David B
Trials.ai, 4520 Executive Dr., Suite 200, San Diego, CA, 92121, United States.
Contemp Clin Trials Commun. 2018 Aug 7;11:156-164. doi: 10.1016/j.conctc.2018.08.001. eCollection 2018 Sep.
Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical trials can fail for many reasons. This survey reviews many of these reasons and offers insights on opportunities for improving the likelihood of creating and executing successful clinical trials. Literature from the past 30 years was reviewed for relevant data. Common patterns in reported successful trials are identified, including factors regarding the study site, study coordinator/investigator, and the effects on participating patients. Specific instances where artificial intelligence can help improve clinical trials are identified.
临床试验耗时、昂贵，且常常给患者带来负担。临床试验可能因多种原因失败。本调查回顾了其中许多原因，并就提高创建和执行成功临床试验可能性的机会提供见解。对过去30年的文献进行了回顾以获取相关数据。确定了已报告的成功试验中的常见模式，包括与研究地点、研究协调员/研究者相关的因素以及对参与患者的影响。确定了人工智能可以帮助改进临床试验的具体实例。
