优化癌症治疗:探索人工智能在放射性免疫治疗中的作用
Hossein Azadinejad1, Mohammad Farhadi Rad2, Ahmad Shariftabrizi3
1Department of Immunology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah 6714869914, Iran.
Diagnostics (Basel, Switzerland)
|February 13, 2025
概括
放射性免疫疗法 (RIT) 结合了辐射和免疫疗法,用于向癌症治疗. 人工智能 (AI) 提高了RIT的精度,效率和个性化,以改善耐药癌症患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 辐射疗法 辐射疗法
- 免疫治疗是一种免疫疗法.
- 人工智能的人工智能
背景情况:
- 放射性免疫疗法 (RIT) 结合了放射治疗和免疫治疗,使用放射性标记的单克隆抗体进行向癌症治疗.
- 理工学院提供个性化,全身和持久的治疗选择,特别是对于抗常规疗法的癌症.
- 人工智能 (AI) 正在成为医疗保健领域的一个变革性技术,在瘤学领域具有显著的潜力.
研究的目的:
- 探索人工智能 (AI) 在放射性免疫疗法 (RIT) 中的整合.
- 突出AI在提高RIT的精度,效率和个性化方面的作用.
- 讨论AI在优化整个RIT治疗过程和推进个性化癌症护理方面的潜力.
主要方法:
- 关于RIT和AI在癌症治疗中的应用现有文献的综述.
- 分析AI在关键RIT阶段的作用:患者选择,治疗计划,剂量测量和反应评估.
- 探索AI对RIT相关药物设计和瘤分类的贡献.
主要成果:
- 人工智能可以通过先进的诊断和预测建模显著改善患者选择RIT.
- 人工智能驱动的工具可以增强治疗计划和剂量计,以优化辐射输送和降低毒性.
- 人工智能有助于更准确的反应评估,并有助于开发新的RIT剂和瘤分类方法.
结论:
- 人工智能融入RIT有望通过优化治疗交付和治疗结果来彻底改变个性化癌症护理.
- 人工智能在数据分析和预测建模方面的能力对于释放RIT的全部潜力至关重要.
- 在人工智能辅助的RIT中进行持续的研究和开发对于推进其临床应用和有效性至关重要.
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