跨越癌症护理连续性的人工智能
Irbaz Bin Riaz1,2, Muhammad Ali Khan1, Travis J Osterman3,4
1Division of Hematology/Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Cancer
|August 14, 2025
概括
人工智能 (AI) 具有显著的潜力,可以改善癌症治疗的连续性. 对人工智能工具的负责任开发和整合对于个性化瘤学和改善患者结果至关重要.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在整个癌症护理连续过程中具有变革性的潜力.
- 目前的应用范围包括风险评估,早期检测,治疗和支持性护理.
- 人工智能集成了各种数据,包括多omics和电子健康记录,用于个性化策略.
研究的目的:
- 提供有关瘤学当前和新兴AI应用的全面概述.
- 突出AI在提高癌症风险分层,诊断,治疗和生存率方面的作用.
- 讨论成功将人工智能整合到临床实践中的挑战和要求.
主要方法:
- 审查当前和新兴的人工智能在瘤学中的应用.
- 对人工智能在整合多omics和电子健康记录中的作用的分析.
- 在医学图像分析,组织病理学,治疗计划和幸存者护理中探索AI.
主要成果:
- 人工智能算法在提高癌症查,诊断和治疗计划的准确性和效率方面表现有前途.
- 人工智能可以个性化预防,优化放射治疗,并定制系统治疗选择.
- 人工智能增强了临床工作流程,证据传播和患者报告的结果,以支持决策.
结论:
- 成功的AI整合需要解决算法验证,数据隐私和偏见缓解等挑战.
- 跨学科合作和医疗保健专业教育对于有效的AI实施至关重要.
- 人工智能和临床专业知识之间的协同作用是实现AI在个性化癌症护理方面的潜力的关键.
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