Medicine and Health
The predictive performance of artificial intelligence on the outcome of stroke: a systematic review and meta-analysis
Y. Yang, L. Tang, et al.
This innovative study conducted by Yujia Yang and colleagues reveals the promising accuracy of artificial intelligence models in predicting stroke outcomes, with a pooled AUC of 0.872. Discover how AI technologies, particularly SVM and Xgboost, can enhance the decision-making process for physicians in stroke prognosis.
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