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Can you describe an example of how Explainable AI is used in healthcare for medical diagnosis?
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Answer / Pradeep Kumar Verma
Explainable AI (XAI) can be applied in healthcare to provide insights into the decision-making process of AI systems, making them more transparent and understandable to healthcare professionals. For instance, XAI can help doctors understand how a machine learning model arrived at its diagnosis by generating explanations for individual predictions, such as highlighting relevant patient features or explaining the rationale behind a particular treatment recommendation. This helps promote trust in AI-assisted decision-making and ensures that medical professionals remain in control of their practice.
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