人工智能在痛风评估中的应用研究进展  

The Research advancement in the utilization of artificial intelligence for gout evaluation

作　　者：马宏洋 刘力[2] 钟威[2] 魏冬梅[2] 梁晏铭 陈炳成 MA Hongyang;LIU Li;ZHONG Wei;WEI Dongmei;LIANG Yanming;CHEN Bingcheng(Graduate School of Mudanjiang Medical University,Mudanjiang 157011,China;Department of CT Radiology,The First Hospital of Qiqihar City,Heilongjiang Province,Qiqihar 161005,China)

机构地区：[1]牡丹江医科大学研究生院,黑龙江牡丹江157011 [2]黑龙江省齐齐哈尔市第一医院CT放射科,黑龙江齐齐哈尔161005

出　　处：《医学影像学杂志》2025年第3期142-146,共5页Journal of Medical Imaging

基　　金：黑龙江省自然科学基金项目(编号:LH2022H106)。

摘　　要：痛风是一种由单尿酸钠(MSU)晶体沉积于体内引起的急、慢性疾病,作为一种炎症性、代谢性疾病在全球发病率逐年升高,且有年轻化的趋势,如不及时干预,一旦延误治疗,就会导致严重的代谢紊乱,MSU的沉积,甚至会造成骨组织和软骨组织的侵蚀,带来不可逆转的损害。近年来,人工智能(AI)作为一种新的智能诊断手段,对痛风快速检测、精准诊断及预后评估具有重要意义。本文对AI在痛风中的最新研究成果进行综述,旨在探讨AI方法性能、优点和局限性,以及在痛风检出、精准诊断、预后评估中的应用研究现状,并与传统的医学诊断方法进行比较,展望其未来应用前景。Gout is an acute and chronic disease caused by the deposition of sodium monourate(MSU)crystals in the body.As an inflammatory and metabolic disease,the incidence of gout is increasing year by year in the world,and there is a trend of younger age.Without timely intervention,once delayed treatment,it will lead to serious metabolic disorders,MSU deposition,and even the erosion of bone and cartilage tissue,causing irreversible damage.In recent years,artificial intelligence(AI),as a new intelligent diagnostic method,is of great significance for the rapid detection,accurate diagnosis and prognosis evaluation of gout.This article reviews the latest research results of AI in gout,aiming to discuss the performance,advantages and limitations of AI methods,as well as the research status of AI in the detection,accurate diagnosis and prognosis evaluation of gout.It also compares with traditional medical diagnosis methods and prospects its future application.

关 键 词：人工智能技术 算法 痛风 智能诊断 医学影像学 

分 类 号：R686.1[医药卫生—骨科学] R445[医药卫生—外科学]