人工智能和机器学习在临床开发中的采用和使用
Mary Jo Lamberti1, Maria I Florez2, Hana Do2
1Tufts Center for the Study of Drug Development, Tufts University School of Medicine, Boston, MA, USA. mary_jo.lamberti@tufts.edu.
Therapeutic innovation & regulatory science
|May 29, 2025
概括
人工智能 (AI) 和机器学习 (ML) 在临床开发中的采用率很低,只有10.7%的人完全实施AI/ML. 大多数公司都处于AI/ML用于临床试验的早期阶段.
科学领域:
- 制药科学 制药科学
- 临床研究 临床研究
- 生物技术是生物技术.
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 在药物发现中的使用是确定的.
- 在临床开发中量化AI/ML采用,投资和效率仍未得到充分研究.
- 需要系统地测量AI/ML在临床开发中的影响.
研究的目的:
- 测量AI/ML在临床开发中的采用水平.
- 评估AI/ML在临床开发中的投资和效率.
- 识别与AI/ML实施相关的挑战和机会.
主要方法:
- 全球在线调查是由塔夫斯药物开发研究中心进行的.
- 从制药公司,CRO和技术供应商那里收集了302个答案.
- 该调查评估了36项临床试验活动中AI/ML的实施情况,包括投资和时间节省.
主要成果:
- 36.9%的受访者没有在临床开发活动中使用AI/ML.
- 30.3%的人正在试点AI/ML,而22.1%的人正在部分实施它.
- 只有10.7%的组织完全实施了AI/ML,使用可重复的流程.
结论:
- 临床开发中AI/ML的采用处于初始阶段.
- 对于增加AI/ML实施和实现其好处,存在重大机会.
- 需要进一步的研究来理解和优化AI/ML在临床试验中的作用.
关键词:
收养的到期时间人工智能的人工智能是人工智能.临床发展 临床发展临床试验的设计临床试验中的临床试验.生成性AI是一种人工智能.创新采用 创新采用机器学习是机器学习.协议复杂性 协议复杂性协议设计 协议设计从设计开始的质量.现实世界的数据数据.研究和开发的研究和开发.更多相关视频
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