What is explainable AI in healthcare?
Explainable AI in healthcare refers to AI systems that provide clear, understandable insights into their decision-making processes.
Why is explainability important in medical AI?
Explainability is crucial because it builds trust among healthcare professionals and patients, ensuring that AI decisions can be understood and validated.
Can you give an example of explainable AI in action?
Sure! An example is an AI that analyzes medical images and highlights specific areas it considered when diagnosing a condition, allowing doctors to see the reasoning behind its conclusions.
What are the challenges of implementing explainable AI?
Challenges include the complexity of AI models, the need for transparency, and ensuring that explanations are comprehensible to non-experts.
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