临床外科杂志 ›› 2026, Vol. 34 ›› Issue (3): 249-252.doi: 10.3969/j.issn.1005-6483.20260061

• 专家笔谈 • 上一篇    下一篇

破局甲状腺癌诊疗:人工智能的临床应用新范式

李文 张舟径 孙大为   

  1. 266071 山东青岛,青岛大学第一临床学院(李文);青岛大学附属医院甲状腺外科(张舟径、孙大为)
  • 收稿日期:2026-01-20 出版日期:2026-05-08 发布日期:2026-05-08
  • 通讯作者: 孙大为,Email:drsundawei@qdu.edu.cn

Breaking the deadlock in thyroid cancer diagnosis and treatment:A new paradigm of artificial intelligence in clinical application

LI Wen*,ZHANG Zhoujing,SUN Dawei   

  1. *The First Clinical Medical School,Qingdao University,Qingdao 266071,China
  • Received:2026-01-20 Online:2026-03-20 Published:2026-05-08

摘要: 甲状腺癌是我国近十年增速最快的实体恶性肿瘤,诊疗全流程存在漏诊、过度治疗等瓶颈。人工智能(AI)已深度渗透诊疗全流程。诊断环节,AI赋能超声与颈部增强CT,弥补医师经验差异,提升评估精准度;手术中,AI与腔镜导航融合,用于保护术中关键结构,辅助冰冻病理诊断提高淋巴结转移预测准确率;预后管理上,AI模型实现精准给药与监测,结合3D打印、可穿戴设备优化治疗。AI正从“辅助工具”向“诊疗协同伙伴”转型,未来针对AI存在的弊端需通过多中心数据库构建、技术转化等举措,推动诊疗迈入“精准化、个体化、智能化”新范式,提升病人生存率与生活质量。

关键词: 甲状腺癌; 人工智能; 诊疗全流程; 精准医疗

Abstract: Thyroid cancer is the fastest-growing solid malignant tumor in China over the past decade,with bottlenecks of missed diagnosis and overtreatment throughout its diagnosis and treatment.Artificial intelligence(AI) has been deeply integrated into the full process.In diagnosis,AI enhances ultrasound and contrast-enhanced cervical CT,bridging physicians' clinical experience gaps and improving diagnostic accuracy.During surgery,AI combined with endoscopic navigation protects key intraoperative structures and assists frozen section diagnosis to increase lymph node metastasis prediction accuracy.In prognosis management,AI-based models enable precise drug delivery,real-time monitoring,and optimized treatment outcomes with 3D printing and wearable devices.AI is transforming from an "auxiliary tool" to a "diagnostic and therapeutic collaborative partner".To address AI limitations,future measures including multi-center databases and technology translation will advance diagnosis and treatment toward a "precision,individualization,and intelligence" paradigm,improving patients' survival rates and quality of life.

Key words: thyroid cancer; artificial intelligence; entire diagnostic and therapeutic workflow; precision medicine

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