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How can the use of AI techniques enable incorporation of predictive healthcare models in clinical practice to make them trustworthy and interpretable?

While pursuing PhD in Predictive Healthcare Models, I got interested in explainable AI. Can you please elaborate with an illustrative explanation of explanatory AI techniques on how it can enhance interpretability, trustworthiness and clinical adoption of predictive healthcare models?

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