ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025
[DeepSeek perspective on managing Kawasaki disease in Chinese children].
Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The Performance of ChatGPT-4o and DeepSeek-R1 in Interpreting Thyroid Nodule Ultrasound Text Reports: Multicenter Study.Journal of medical Internet research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.