{"title":"[DeepSeek perspective on managing Kawasaki disease in Chinese children].","authors":"Yan Pan, Fu-Yong Jiao","doi":"10.7499/j.issn.1008-8830.2502042","DOIUrl":null,"url":null,"abstract":"<p><p>Clinical management of Kawasaki disease faces several challenges, including difficulties in early diagnosis, insufficient personalized treatment, delayed access to information, and inefficient multidisciplinary collaboration. This paper explores the application of the DeepSeek AI model in the management of Kawasaki disease: (1) Enhancing early diagnosis accuracy through the integration and analysis of multimodal data (imaging, laboratory, and clinical data); (2) Dynamically adjusting treatment plans to achieve personalized medicine; (3) Integrating the latest global guidelines and research findings in real-time to optimize clinical processes; (4) Providing personalized health education content to enhance parental involvement; (5) Establishing a platform for sharing clinical data to support intelligent decision-making and multidisciplinary collaboration.</p>","PeriodicalId":39792,"journal":{"name":"中国当代儿科杂志","volume":"27 5","pages":"524-528"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12169877/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国当代儿科杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7499/j.issn.1008-8830.2502042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Clinical management of Kawasaki disease faces several challenges, including difficulties in early diagnosis, insufficient personalized treatment, delayed access to information, and inefficient multidisciplinary collaboration. This paper explores the application of the DeepSeek AI model in the management of Kawasaki disease: (1) Enhancing early diagnosis accuracy through the integration and analysis of multimodal data (imaging, laboratory, and clinical data); (2) Dynamically adjusting treatment plans to achieve personalized medicine; (3) Integrating the latest global guidelines and research findings in real-time to optimize clinical processes; (4) Providing personalized health education content to enhance parental involvement; (5) Establishing a platform for sharing clinical data to support intelligent decision-making and multidisciplinary collaboration.
中国当代儿科杂志Medicine-Pediatrics, Perinatology and Child Health
CiteScore
1.50
自引率
0.00%
发文量
5006
期刊介绍：
The Chinese Journal of Contemporary Pediatrics (CJCP) is a peer-reviewed open access periodical in the field of pediatrics that is sponsored by the Central South University/Xiangya Hospital of Central South University and under the auspices of the Ministry of Education of China. It is cited as a source in the scientific and technological papers of Chinese journals, the Chinese Science Citation Database (CSCD), and is one of the core Chinese periodicals in the Peking University Library. CJCP has been indexed by MEDLINE/PubMed/PMC of the American National Library, American Chemical Abstracts (CA), Holland Medical Abstracts (EM), Western Pacific Region Index Medicus (WPRIM), Scopus and EBSCO. It is a monthly periodical published on the 15th of every month, and is distributed both at home and overseas. The Chinese series publication number is CN 43-1301/R；ISSN 1008-8830. The tenet of CJCP is to “reflect the latest advances and be open to the world”. The periodical reports the most recent advances in the contemporary pediatric field. The majority of the readership is pediatric doctors and researchers.
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