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Integrating Interactive Web-Based Modules to Enhance Explainability of a Medical AI Dashboard for Predicting Readmission to Cardiovascular ICUs
0
Zitationen
7
Autoren
2023
Jahr
Abstract
Background: Artificial intelligence (AI)-driven decision assistance systems have great potential in the medical field, however they are still considered a black box by most medical experts. Hence, the goal of this project was to provide real-time AI-driven decision assistance for monitoring patients in cardiovascular intensive care units (ICUs) by means of explainable interactive graphical user interface (GUI) modules. To this end, we developed and analyzed different web-based modules to enhance the interpretability of the decisions made by the AI model, given the example of readmission prediction.
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