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Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review
70
Zitationen
13
Autoren
2023
Jahr
Abstract
Clinical time series and electronic health records (EHR) data were the most common input modalities, while methods such as gradient boosting, recurrent neural networks (RNNs) and RL were mostly used for the analysis. Seventy-five percent of the selected papers lacked validation against external datasets highlighting the generalizability issue. Also, interpretability of the AI decisions was identified as a central issue towards effective integration of AI in healthcare.
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