Progress in the Diagnosis and Treatment of Kawasaki Disease and Other Multi-system Inflammatory Syndromes by Artificial Intelligence

Purpose: To explore the role of artificial intelligence in distinguishing Kawasaki disease from other multi-system inflammatory syndromes.

Methods: We refer to the existing relevant articles at home and abroad for analysis.

Results: The clinical application of artificial intelligence has played a time-saving and labour-saving role in the differentiation of Kawasaki disease and other multi-system inflammatory syndromes, suggesting that the application of big data in clinical practice can bring new development opportunities for medical treatment.

Conclusion: Kawasaki disease and other multi-system inflammatory syndromes are similar and overlapping in clinical practice, which is difficult to distinguish and easy to misdiagnose and miss diagnose. Artificial intelligence is applied to analyze the above disease data, to achieve the effect of accurate differentiation, timely diagnosis, symptomatic treatment and reduction of complications.