This represents a positive trend toward more rigorous model assessments. • Large sample sizes (44 studies): utilization of large databases, such as Medical Information Mart for Intensive Care (MIMIC-III), MIMIC-IV, and eICU, provided substantial data for model development and testing. • xAI methods (38 studies): reporting of xAI methods can help the final user (i.e., clinicians, nurses, or hospital administrators) better understand the most relevant factors for the model in use.
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Artificial intelligence in intensive care units: a scoping review addressing the translational gap to clinical practice.
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