Suppr超能文献

[DeepSeek对中国儿童川崎病管理的观点]

[DeepSeek perspective on managing Kawasaki disease in Chinese children].

作者信息

Pan Yan, Jiao Fu-Yong

机构信息

Children's Hospital of Shaanxi Provincial People's Hospital/Diagnosis and Treatment Center of Kawasaki Disease of Shaanxi Province, Xi'an 710068, China.

出版信息

Zhongguo Dang Dai Er Ke Za Zhi. 2025 May 15;27(5):524-528. doi: 10.7499/j.issn.1008-8830.2502042.

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.

摘要

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。

相似文献

1
[DeepSeek perspective on managing Kawasaki disease in Chinese children].
Zhongguo Dang Dai Er Ke Za Zhi. 2025 May 15;27(5):524-528. doi: 10.7499/j.issn.1008-8830.2502042.
5
[Interpretation of the JCS/JSCS 2020 guideline on diagnosis and management of cardiovascular sequelae in Kawasaki disease].
Zhongguo Dang Dai Er Ke Za Zhi. 2021 Mar;23(3):213-220. doi: 10.7499/j.issn.1008-8830.2010134.
7
[Kawasaki disease: interdisciplinary and intersocieties consensus (clinical guidelines). Brief version].
Arch Argent Pediatr. 2016 Aug 1;114(4):385-90. doi: 10.5546/aap.2016.385.
8
Intelligent diagnosis of Kawasaki disease from real-world data using interpretable machine learning models.
Hellenic J Cardiol. 2025 Jan-Feb;81:38-48. doi: 10.1016/j.hjc.2024.08.003. Epub 2024 Aug 10.
9
Kawasaki Disease: Issues in Diagnosis and Treatment--A Developing Country Perspective.
Indian J Pediatr. 2016 Feb;83(2):140-5. doi: 10.1007/s12098-015-1890-4. Epub 2015 Sep 24.
10
[Interpretation of similarities and differences in Kawasaki disease guidelines at home and abroad].
Zhongguo Dang Dai Er Ke Za Zhi. 2025 Feb 15;27(2):144-147. doi: 10.7499/j.issn.1008-8830.2406041.

本文引用的文献

2
Daily briefing: The pros and cons of DeepSeek.
Nature. 2025 Jan 30. doi: 10.1038/d41586-025-00330-w.
3
How China created AI model DeepSeek and shocked the world.
Nature. 2025 Feb;638(8050):300-301. doi: 10.1038/d41586-025-00259-0.
4
Scientists flock to DeepSeek: how they're using the blockbuster AI model.
Nature. 2025 Jan 29. doi: 10.1038/d41586-025-00275-0.
5
China's cheap, open AI model DeepSeek thrills scientists.
Nature. 2025 Feb;638(8049):13-14. doi: 10.1038/d41586-025-00229-6.
6
Chinese firm's large language model makes a splash.
Science. 2025 Jan 17;387(6731):238. doi: 10.1126/science.adv9836. Epub 2025 Jan 16.
7
Guideline for the diagnosis and treatment of incomplete Kawasaki disease in children in China.
BMC Pediatr. 2024 Jul 26;24(1):477. doi: 10.1186/s12887-024-04961-2.
8
Automated valvular heart disease detection using heart sound with a deep learning algorithm.
Int J Cardiol Heart Vasc. 2024 Mar 5;51:101368. doi: 10.1016/j.ijcha.2024.101368. eCollection 2024 Apr.
9
Deep Learning-Based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli.
IEEE J Biomed Health Inform. 2024 May;28(5):2781-2793. doi: 10.1109/JBHI.2024.3365172. Epub 2024 May 6.
10
[Evidence-based guidelines for the diagnosis and treatment of Kawasaki disease in children in China (2023)].
Zhongguo Dang Dai Er Ke Za Zhi. 2023 Dec 15;25(12):1198-1210. doi: 10.7499/j.issn.1008-8830.2309038.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验