Machine Learning in Clinical Trials: A Primer with Applications to Neurology.

Machine Learning in Clinical Trials: A Primer with Applications to Neurology.
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DOI:
10.1007/s13311-023-01384-2
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发表时间:
2023-07
期刊:
影响因子:
5.7
通讯作者:
Kolachalama, Vijaya B.
Kolachalama, Vijaya B.
中科院分区:
医学2区
文献类型:
--
作者:
Miller, Matthew I.;Shih, Ludy C. C.;Kolachalama, Vijaya B.

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我们回顾了人工智能(AI)和机器学习(ML)的基本概念,并讨论了这些方法可用于促进临床试验和研究进展的方法,特别关注神经系统疾病临床试验的设计,实施和解释中的应用。我们讨论了ML可能有助于加快受试者招募步伐的方式,提供医疗干预的现实模拟,并通过新型数字生物标志物和治疗方法增强远程试验管理。最后,我们简要概述了随着ML实现更大程度地集成到临床试验工作流程中,必须解决的技术、管理和监管挑战。
We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML) and discussed ways in which these methodologies may be employed to enhance progress in clinical trials and research, with particular attention to applications in the design, conduct, and interpretation of clinical trials for neurologic diseases. We discussed ways in which ML may help to accelerate the pace of subject recruitment, provide realistic simulation of medical interventions, and enhance remote trial administration via novel digital biomarkers and therapeutics. Lastly, we provide a brief overview of the technical, administrative, and regulatory challenges that must be addressed as ML achieves greater integration into clinical trial workflows.
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