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Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models
24
Zitationen
4
Autoren
2024
Jahr
Abstract
ML and DL models significantly surpass traditional scoring systems in predicting HT. These advanced models enhance clinical decision-making and improve patient outcomes. Future research should address data expansion, imaging protocol standardization, and model transparency to enhance stroke outcomes further.
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