跨瘤学专业的人工智能:当前应用和新兴工具
John Kang1, Kyle Lafata2,3,4, Ellen Kim5,6
1Department of Radiation Oncology, University of Washington, Seattle, Washington, USA.
BMJ oncology
|January 31, 2025
概括
人工智能 (AI) 有助于分析大量的瘤学数据,以更好地检测癌症和计划治疗. 这篇评论探讨了人工智能.
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:
- 个性化瘤学依赖于广泛的诊断和治疗数据.
- 数据的庞大数量超过了人类的解释能力.
- 人工智能 (AI) 为管理和解释复杂的瘤学数据提供了解决方案.
研究的目的:
- 审查关于人工智能在瘤学中的应用的多学科观点.
- 突出AI在整合多样化的数据源和工具中的作用.
主要方法:
- 文献综述综合了AI在瘤学中的多学科见解.
- 在各种瘤学子领域探索人工智能应用.
主要成果:
- 人工智能增强了数据解释,以改善癌症检测和预测.
- 人工智能适用于人工智能成像,病理学,患者分类,放射治疗,基因组学驱动疗法和手术.
- 人工智能与自然语言处理,数字双胞胎和临床信息学的整合至关重要.
结论:
- 通过管理数据复杂性,人工智能对于推进个性化瘤学至关重要.
- 人工智能集成有望提高诊断准确性,治疗效率和临床工作流程.
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