DeepSeek perspective on managing Kawasaki disease in Chinese children.
10.7499/j.issn.1008-8830.2502042
- Author:
Yan PAN
1
;
Fu-Yong JIAO
Author Information
1. Children's Hospital of Shaanxi Provincial People's Hospital/Diagnosis and Treatment Center of Kawasaki Disease of Shaanxi Province, Xi'an 710068, China.
- Publication Type:Journal Article
- Keywords:
Child;
DeepSeek;
Diagnosis;
Guideline;
Kawasaki disease;
Treatment
- MeSH:
Humans;
Mucocutaneous Lymph Node Syndrome/diagnosis*;
Child;
Artificial Intelligence;
Precision Medicine;
East Asian People
- From:
Chinese Journal of Contemporary Pediatrics
2025;27(5):524-528
- CountryChina
- Language:Chinese
-
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.
