瘤学中的人工智能:跨越癌症控制连续性的10年临床试验
Himanshi Verma1, Shilpi Mistry2, Krishna Vamsi Jayam3
1Department of Medical Education, University of Miami Leonard M. Miller School of Medicine, Miami, FL 33136, USA.
Cancers
|November 13, 2025
概括
人工智能 (AI) 正在改变瘤学试验,机器学习在癌症控制连续 (CCC) 中引领应用. 然而,人工智能使用和结果的报告差距需要标准化数据共享以进行临床整合.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在医学中越来越多地用于个性化患者护理,分析复杂的临床数据,成像和监测.
- 这项研究研究了AI在癌症临床试验中的当前应用在癌症控制连续体 (CCC) 中.
研究的目的:
- 在完成的美国瘤学临床试验中描述AI的利用.
- 在癌症控制连续 (CCC) 的不同阶段分析AI应用.
主要方法:
- 在ClinicalTrials.gov注册的美国瘤学试验的横截面研究 (2015年1月 - 2025年4月).
- 在CCC框架内识别使用AI相关的医学科目标题 (MeSH) 术语的试验.
主要成果:
- 确定了50个涉及人工智能的已完成瘤试验,主要是干预性 (66%).
- 机器学习是最普遍的AI应用,其次是自然语言处理,计算机视觉和集成系统.
- 大多数试验是单一中心的,入学人数有限,并且在公布的结果和结果中观察到显著的报告差距.
结论:
- 人工智能应用,特别是机器学习,正在动态地改变瘤护理,从早期检测到生存.
- 人工智能在改善结果和推进CCC的个性化癌症护理方面显示出越来越大的潜力.
- 标准化报告和数据共享对于加速人工智能工具开发和瘤学临床整合至关重要.
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