多学科瘤委员会中的人工智能增强了瘤学的决策和临床结果
Xiaodong Wang1, Qianqian Wang2, Gouping Ding1
1Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
iScience
|December 24, 2025
概括
人工智能 (AI) 通过改善信息合成和决策一致性来增强多学科瘤委员会 (MDTs),据报道,AI和MDT决策之间的一致性从70%到90%不等. 虽然人工智能提供了好处,但仔细实施和验证对于其有效地融入癌症治疗至关重要.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 多学科瘤委员会 (MDTs) 对于协调复杂的癌症护理决策至关重要.
- 多样化的数据 (成像,病理学,基因组学,患者因素) 的整合对MDT来说是一个重大挑战.
- 人工智能 (AI) 技术为优化MDT流程提供了潜在的解决方案.
研究的目的:
- 综合人工智能的当前应用,以支持MDT的准备和审议.
- 在MDTs的背景下评估AI工具的性能,好处和局限性.
- 概述AI在MDT工作流程中有效实施的优先事项.
主要方法:
- 对MDTs中的AI应用现有文献进行系统审查和综合.
- 分析AI在MDT决策的各个阶段的作用,包括准备和审议.
- 人工智能技术的分类,包括机器学习,自然语言处理,深度学习和大型语言模型.
主要成果:
- 人工智能工具在癌症查和分期方面表现出高的诊断性能.
- 在各种癌症中,AI建议和MDT决定之间报告的一致性从70%到90%不等.
- 关键的好处包括加快信息合成,改善准则的遵守,提高文档清晰度.
结论:
- 人工智能显示出增强MDT决策,个性化患者护理和提高工作流程效率的巨大潜力.
- 诸如数据偏差,概括性问题,隐私问题和不足的验证等局限性需要仔细考虑.
- 人工智能实施的优先事项包括未来的多中心评估,EHR集成,临床医师培训和强有力的监督.
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