混合现实和人工智能在肉瘤护理中的新兴作用:系统性审查
Surbhi Joshi1, Pharel Njessi2, Olivier Camuzard3
1Institut Universitaire Locomoteur et Du Sport, Pasteur 2 Hospital, University Côte D'Azur, Nice, France; LNCT Medical College and Sewakunj Hospital, Indore, India.
概括
人工智能 (AI) 和混合现实 (MR) 在改善肉瘤诊断和手术规划方面表现有前途. 需要进一步的大规模研究来确认它们的临床影响和整合到常规的肉瘤护理中.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 手术技术 手术技术
背景情况:
- 瘤是复杂的癌症,需要专门的管理.
- 人工智能 (AI) 和混合现实 (MR) 是新兴技术,在瘤学中具有潜在的应用.
- 本综述系统地评估了AI和MR在肉瘤护理中的当前使用情况.
研究的目的:
- 评估AI和MR在瘤管理中的应用和影响.
- 确定这些技术在肉瘤护理中的当前趋势和局限性.
主要方法:
- 在主要数据库 (PubMed/MEDLINE,Embase,Scopus,Web of Science) 进行了系统的文献搜索,截至2025年6月.
- 遵循PRISMA指南,包括病例系列,队列,诊断准确性和预测模型研究.
- 包括专注于AI或MR在肉瘤诊断,治疗计划或手术协助方面的研究.
主要成果:
- 涉及8478名患者的23项研究符合标准,重点关注骨髓瘤,软组织瘤和软骨瘤.
- 人工智能在基于成像的诊断和分级以及放射基因组模型中表现出高准确度 (78-95%).
- 用于手术前规划,手术内导航和外科训练,尽管没有找到集成的AI/MR平台.
结论:
- 人工智能和MR显示出提高肉瘤诊断准确性和手术规划的巨大潜力.
- 目前的证据主要基于具有有限统计能力的初步研究.
- 大规模的多中心研究对于验证这些技术和促进它们融入瘤管理的标准临床实践至关重要.
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