Survey of explainable ai techniques in healthcare

HIGHLIGHTS

SUMMARY

    Many research works focus on simplifying the AI models for better understanding by clinicians, to improve confidence in the use of AI models. The 2 of 19 two words "explainable" and "interpretable" are associated with XAI terms, by which the black-box models are considered "explainable" when the predictions are considered post hoc methods. An "interpretable" model based on the model itself aims to provide human-understandable outputs as steps. COVID-19 Infected Black-box AI Users Black-box Model Input Image Prediction These part is more like infected Users Medical Dataset Black-box . . .

     

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