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基于放射学的人工智能用于预测胰癌向治疗反应:综合性综述

Bo Yang^1,2, Silin Chen^1,2, Yunze Wang^1,2

¹Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, and Centre for Infection Immunity and Cancer (IIC) of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

Journal of translational medicine

|November 25, 2025

概括

基于放射学的人工智能 (AI) 模型可以预测患者对向癌症治疗的反应. 这份对112项研究的综述表明,人工智能.

科学领域:

在瘤学瘤学.
放射学放射学是一门学科.
人工智能的人工智能

背景情况:

精确瘤学依赖于向治疗,但难以预测患者的反应.
传统的分子测试对治疗疗效的预测价值有限.
人工智能 (AI) 和医学成像技术为评估治疗反应提供了新的非侵入性方法.

研究的目的:

审查和综合基于放射学的人工智能模型的现状,以预测有针对性的治疗反应.
将AI方法分为直接和间接的预测策略.
识别常见的癌症类型,成像模式和在这个领域使用的AI框架.

主要方法:

对112项研究进行了全面的文献审查.
分析了开发人工智能模型来预测向治疗反应的研究.
模型被分为直接 (端到端成像) 和间接 (生物标志物推断) 预测方法.

主要成果:

计算机断层扫描 (CT) 是最常见的成像方式,其次是MRI,PET和US.
肺癌和乳腺癌最常被研究,并扩展到其他癌症类型.
使用了机器学习 (ML) 和深度学习 (DL),ML占主导地位,但DL正在增长.

结论:

基于放射学的AI提供了一个非侵入性工具,用于指导向治疗的选择和监测.
该审查强调了不同AI预测策略的进展,优势和局限性.
讨论了未来的方向和资源,以支持可访问性和进一步研究.

关键词:

在这里,我们可以看到AIAIAI.胰腺癌是一种癌症.预后和响应预测的预测.放射学放射学是一门学科.有针对性的治疗.

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