Progress in the Diagnosis and Treatment of Kawasaki Disease and Other Multi-system Inflammatory Syndromes by Artificial Intelligence
Hongping Zhong
Department of Paediatrics, Yan’an University Affiliated Hospital, Yan’an-716000, China and Department of Psychology, Shaanxi Provincial People's Hospital, Xi'an, China.
Xin lv
Department of Paediatrics, Yan’an University Affiliated Hospital, Yan’an-716000, China and Department of Psychology, Shaanxi Provincial People's Hospital, Xi'an, China.
Xiaoya Sun
Department of Paediatrics, Yan’an University Affiliated Hospital, Yan’an-716000, China and Department of Psychology, Shaanxi Provincial People's Hospital, Xi'an, China.
Wenyan Jiao *
Department of Psychology, Shaanxi Provincial People's Hospital, Xi'an, China.
*Author to whom correspondence should be addressed.
Abstract
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.
Keywords: Artificial intelligence, Kawasaki disease, inflammatory syndrome