"智"疗甲状腺癌:人工智能在甲状腺癌诊疗中的应用与展望OA

Thyroid cancer(TC)is the most common malignant tumor of the endocrine system,with its incidence continuously rising worldwide.Although most patients have a favorable prognosis,challenges remain,including insufficient accuracy in early diagnosis,inaccurate assessment of lymph node metasta-sis,difficulties in effectively implementing individualized treatment,and low follow-up efficiency.In recent years,the rapid development of artificial intelligence(AI)technology has brought transformative changes to the precise diagnosis and treatment of TC.This review primarily focuses on the application of AI in TC diagnosis,outlining the evolution of AI technologies and comparing the efficacy of different methods in distinguishing benign from malignant lesions,predicting lymph node metastasis,and molecu-lar subtyping.Simultaneously,it explores the potential of AI in treatment decision-making,prognosis as-sessment,and follow-up management,analyzes current challenges,and aims to promote the translation of AI technology into clinical practice.