Pan Yan, Jiao Fu-Yong
Children's Hospital of Shaanxi Provincial People's Hospital/Diagnosis and Treatment Center of Kawasaki Disease of Shaanxi Province, Xi'an 710068, China.
Zhongguo Dang Dai Er Ke Za Zhi. 2025 May 15;27(5):524-528. doi: 10.7499/j.issn.1008-8830.2502042.
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.
川崎病的临床管理面临若干挑战,包括早期诊断困难、个性化治疗不足、信息获取延迟以及多学科协作效率低下。本文探讨了DeepSeek人工智能模型在川崎病管理中的应用:(1)通过整合和分析多模态数据(影像、实验室和临床数据)提高早期诊断准确性;(2)动态调整治疗方案以实现个性化医疗;(3)实时整合最新的全球指南和研究结果以优化临床流程;(4)提供个性化健康教育内容以加强家长参与;(5)建立临床数据共享平台以支持智能决策和多学科协作。