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Updated: Feb 4, 2026

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在临床试验中利用数字病理学和支持人工智能的工作流程的应用和挑战
Manu Sebastian1, Harsh Batra2, Monika Lamba Saini3
1The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Journal of pathology informatics
|February 3, 2026
概括
在临床试验中采用数字病理学为病理学审查过程提供了独特的优势. 本综述探讨了数字病理学与人工智能和基因组学相结合的当前利用,挑战和未来进展,以改善试验结果.
科学领域:
- 病理学 病理学 病理学
- 临床试验 临床试验
- 医疗成像医学成像
背景情况:
- 临床试验中的当前病理学审查依赖于传统方法.
- 采用数字病理学为提高效率和准确性提供了机会.
- 了解挑战对于成功实施至关重要.
研究的目的:
- 审查临床试验中数字病理学的当前利用和挑战.
- 提供对数字病理学对病理学审查过程的影响的广泛观点.
- 探索与基因组学,人工智能和先进计算病理学的整合.
主要方法:
- 在临床试验中采用数字病理学的综合文献综述.
- 分析现有的工作流程,并在疾病领域使用案例场景.
- 审查监管方面和未来的进展.
主要成果:
- 数字病理学为患者识别,预先查和整体审查提供了独特的优势.
- 与人工智能,基因组学和先进的计算病理学的整合可以提高临床试验结果.
- 讨论了当前的监管环境和未来的进展.
结论:
- 数字病理学的采用正在改变临床试验的病理学审查.
- 应对挑战和利用技术整合是最大化收益的关键.
- 未来的进展有望进一步提高临床试验的效率和成功.
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