实用老年医学 ›› 2026, Vol. 40 ›› Issue (3): 294-298.doi: 10.3969/j.issn.1003-9198.2026.03.014

• 讲座与综述 • 上一篇    下一篇

人工智能在老年慢性阻塞性肺疾病合并肺癌诊疗中的应用价值

王婷, 王菲, 温红侠   

  1. 710000 陕西省西安市,西安医学院研究生工作部(王婷,王菲);
    710000 陕西省西安市,陕西省人民医院老年呼吸科(温红侠)
  • 收稿日期:2025-07-11 发布日期:2026-03-26
  • 通讯作者: 温红侠,Email: mailwin@163.com

Clinical utility of artificial intelligence in elderly patients with chronic obstructive pulmonary disease complicated by lung cancer

WANG Ting, WANG Fei, WEN Hongxia   

  1. Postgraduate Office, Xi’an Medical University, Xi’an 710000, China (WANG Ting, WANG Fei );
    Department of Geriatric Respiration Medicine, Shaanxi Provincial People’s Hospital, Xi’an 710000, China (WEN Hongxia)
  • Received:2025-07-11 Published:2026-03-26
  • Contact: WEN Hongxia, Email: mailwin@163.com

摘要: 本文回顾总结了人工智能(artificial intelligence,AI)在老年COPD合并肺癌患者的筛查、早期诊断、辅助病理诊断与组织学分类、疾病严重程度的评估、预后评估的应用场景及实践价值。提示AI结合影像学、机器学习等技术可突破传统诊疗局限,显著提高诊断的准确性;但目前AI在临床应用中面临隐私、伦理、数据标准化等问题。在未来,需进一步优化数据库,完善相关标准体系,以推动AI在老年COPD合并肺癌诊疗中的规范应用。

关键词: 慢性阻塞性肺疾病, 肺癌, 合并症, 肺结节, 人工智能

Abstract: This article reviews and summarizes the application scenarios and practical value of artificial intelligence (AI) in the screening, early diagnosis, auxiliary pathological diagnosis and histological classification, assessment of disease severity, and prognosis evaluation of elderly patients with chronic obstructive pulmonary disease (COPD) complicated by lung cancer. It indicates that AI, by integrating imaging techniques, machine learning and other technologies, can break through the limitations of traditional diagnosis and treatment, and significantly enhance the diagnostic accuracy. However, in current clinical applications, AI is confronted with issues including privacy concerns, ethical issues, and data standardization. In the future, it is necessary to further optimize databases and improve relevant standard systems to standardize and promote the application of AI in the diagnosis and treatment of elderly patients with COPD complicated by lung cancer.

Key words: chronic obstructive pulmonary disease, lung cancer, comorbidity, pulmonary nodule, artificial intelligence

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