| 注册
首页|期刊导航|中国肿瘤外科杂志|人工智能在肿瘤影像学中的应用进展

人工智能在肿瘤影像学中的应用进展

高留刚 张恒 张宇涛 倪昕晔 杨冠羽 祝因苏

中国肿瘤外科杂志2026,Vol.18Issue(1):22-30,9.
中国肿瘤外科杂志2026,Vol.18Issue(1):22-30,9.DOI:10.3969/j.issn.1674-4136.2026.01.004

人工智能在肿瘤影像学中的应用进展

Application progress of artificial intelligence in tumor imaging

高留刚 1张恒 2张宇涛 2倪昕晔 2杨冠羽 3祝因苏4

作者信息

  • 1. 210000 江苏 南京,东南大学 计算机科学与工程学院||213000 江苏 常州,南京医科大学第三附属医院 放疗中心
  • 2. 213000 江苏 常州,南京医科大学第三附属医院 放疗中心
  • 3. 210000 江苏 南京,东南大学 计算机科学与工程学院
  • 4. 210009 江苏 南京,南京医科大学附属肿瘤医院/江苏省肿瘤医院/江苏省肿瘤防治研究所 影像中心
  • 折叠

摘要

Abstract

Medical imaging plays an indispensable role in tumor diagnosis and treatment,but traditional methods are plagued by prominent issues,including subjective interpretation and challenges in early lesion detection.In recent years,breakthroughs in artificial intelligence(AI)have brought a paradigm shift to tumor imaging.By leveraging machine learning and deep learning techniques,AI has substantially enhanced the sensitivity of early tumor detection,surgical precision,the accuracy of prognostic prediction,and the personalization of therapeutic decision-making.This article provides a systematic review of the developmental trajectory and core applications of AI in tumor imaging,analyzes current challenges,and outlines future directions,with the aim of offering theoretical support for the establishment of an AI-driven precision oncology diagnostic and treatment system.

关键词

人工智能/肿瘤/影像学/早期检测/预后预测

Key words

Artificial intelligence/Tumor/Imaging/Early detection/Prognostic prediction

引用本文复制引用

高留刚,张恒,张宇涛,倪昕晔,杨冠羽,祝因苏..人工智能在肿瘤影像学中的应用进展[J].中国肿瘤外科杂志,2026,18(1):22-30,9.

基金项目

国家自然科学基金(82441021) (82441021)

江苏省肿瘤医院移山计划项目(YSZD/PY202410) (YSZD/PY202410)

中国肿瘤外科杂志

1674-4136

访问量0
|
下载量0
段落导航相关论文