Mixed-methods study reveals need for explainability in mortality prediction models in palliative care, suggesting accuracy may reduce demand for explainable AI.
Our findings suggest that if a black box model is perceived as accurate, there may be less demand for explainability. Nevertheless, in palliative care-where communication is key-explainability may still be central. Future efforts should seek to create models that are both accurate and explainable at the point-of-care.
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Bridge et al. (2023) studied this question.
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