Clinical Value Analysis of the One-stop Intelligent Stroke System Based on Artificial Intelligence ASPECTS for Acute Ischemic Stroke
ObjectiveToexplore the clinical application value of the one-stop intelligent stroke system based on artificial intelligence Alberta Stroke Program Early CT Score(ASPECTS)in acute ischemic stroke(AIS).Methods A total of 100 AIS patients admitted to our hospital from September 2022 to September 2023 were collected as observation subjects,and were separated into a poor prognosis group and a good prognosis group based on their prognosis.The general data of two groups were collected,and the artificial intelligence ASPECTS was compared between the two groups;receiver operating characteristic curve(ROC)curve was applied to analyze the predictive value of age,artificial intelligence ASPECTS,and NIHSS score for poor prognosis in AIS patients.Results There were differences in age,conscious disorders,infarct size,artificial intelligence ASPECTS,and NIHSS score between the group with good prognosis and the group with poor prognosis(P<0.05).The artificial intelligence ASPECTS of patients with large area infarction was obviously lower than that of non large area infarction patients(P<0.05),and the artificial intelligence ASPECTS of patients with conscious disorders was obviously lower than that of patients with unconscious disorders(P<0.05).Logistic regression analysis showed that age(OR=3.518,95%CI:1.989-5.012)and NIHSS score(OR=4.258,95%CI:1.739-10.428)were risk factors for poor prognosis in AIS patients(P<0.05),while artificial intelligence ASPECTS(OR=0.542,95%CI:0.354-0.831)was a protective factor for poor prognosis in AIS patients(P<0.05).ROC curve analysis showed that the area under the curve(AUC)of age,artificial intelligence ASPECTS,and NIHSS score in predicting poor prognosis in AIS patients was 0.874,0.881,and 0.909,respectively,the AUC of the three combination in predicting poor prognosis in AIS patients was 0.983,and the combination of the three was better than their individual predictions(Z=2.627,2.734,and 2.720,P<0.05).Conclusion The one-stop intelligent stroke system based on artificial intelligence ASPECTS has good prognostic value for AIS patients and can be promoted in clinical practice.
Alberta Stroke Program Early CT ScoreArtificial IntelligenceIschemic StrokePrognosis