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人工智能驱动肺癌诊疗:研究进展与未来展望

白晶 陈克终 王俊

协和医学杂志2026,Vol.17Issue(3):597-606,10.
协和医学杂志2026,Vol.17Issue(3):597-606,10.DOI:10.12290/xhyxzz.2026-0154

人工智能驱动肺癌诊疗:研究进展与未来展望

Artificial Intelligence Drives Lung Cancer Diagnosis and Treatment:Research Progress and Future Prospects

白晶 1陈克终 2王俊3

作者信息

  • 1. 北京大学未来技术学院,北京 100871
  • 2. 北京大学人民医院,胸外科,北京 100044||北京大学人民医院,胸部肿瘤研究所,北京 100044||中国医学科学院早期非小细胞肺癌智能诊疗创新单元(2021RU002),北京 100044||北京大学临床医学高等研究院,北京 100191
  • 3. 北京大学人民医院,胸外科,北京 100044||北京大学人民医院,胸部肿瘤研究所,北京 100044||中国医学科学院早期非小细胞肺癌智能诊疗创新单元(2021RU002),北京 100044
  • 折叠

摘要

Abstract

Lung cancer,the malignancy with the highest global mortality rate,is currently undergoing a paradigm shift from precision medicine to intelligent medicine in its diagnostic and therapeutic models.Arti-ficial intelligence(AI),leveraging its core advantages in multimodal data fusion and high-dimensional feature extraction,has deeply permeated the entire disease continuum of lung cancer screening,diagnosis,and indi-vidualized treatment.AI demonstrates significant value in improving patient outcomes and enhancing clinical ef-ficiency,thereby reshaping the fundamental logic and clinical practice pathways of lung cancer management.This article reviews the latest advances of AI in real-world clinical diagnosis and treatment scenarios for lung cancer,with a focus on multimodal data fusion architectures,breakthrough applications of AI-assisted lung cancer diagnosis and treatment,and the practical barriers to clinical translation.It critically analyzes core chal-lenges including data standardization,privacy protection,and ethical compliance.Finally,it envisions the fu-ture landscape of a nationwide intelligent ecosystem for lung cancer diagnosis and treatment—driven by federated learning and empowered by data elements—providing a reference for the standardized application and innovative development of AI in precision lung cancer care.

关键词

肺癌诊疗/人工智能/多模态数据融合/精准肿瘤学

Key words

lung cancer diagnosis and treatment/artificial intelligence/multimodal data fusion/precision oncology

分类

医药卫生

引用本文复制引用

白晶,陈克终,王俊..人工智能驱动肺癌诊疗:研究进展与未来展望[J].协和医学杂志,2026,17(3):597-606,10.

基金项目

国家自然科学基金(82525052,82388102,82450111) (82525052,82388102,82450111)

中国医学科学院医学与健康科技创新工程项目(2021-I2M-5-002) (2021-I2M-5-002)

北京大学临床科学家培训计划(BMU2025PYJH001) (BMU2025PYJH001)

北京大学人民医院科研与发展基金(RZG2024-02) (RZG2024-02)

北京大学"医学+X"先导计划-人工智能与医学发展专项(BMU2025YXXLHAIYX002) (BMU2025YXXLHAIYX002)

北京大学人民医院科研发展基金(RDX2024-07) (RDX2024-07)

雄安新区科技计划项目(XA202501102003K) National Natural Science Foundation of China(82525052,82388102,82450111) (XA202501102003K)

CAMS Medical and Health Science and Technology Innovation Project(2021-I2M-5-002) (2021-I2M-5-002)

Peking University Clinical Scientist Training Program,supported by the Fundamental Research Funds for the Central Universities(BMU2025PYJH001) (BMU2025PYJH001)

Peking University People's Hospital Re-search and Development Funds(RZG2024-02) (RZG2024-02)

Peking University Medicine plus X Pilot Program-Artificial Intelligence and Med-ical Development Initiative(BMU2025YXXLHAIYX002) (BMU2025YXXLHAIYX002)

Peking University People's Hospital Scientific Research Development Funds(RDX2024-07) (RDX2024-07)

S&T Program of Xiongan New Area(XA202501102003K) (XA202501102003K)

协和医学杂志

1674-9081

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