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A hospital wants to use AI for breast cancer diagnosis. The model achieves 99% accuracy but only 50% sensitivity. What is the problem?

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A new AI tool claims to "personalize risk scores," but its predictions for minority groups are consistently inaccurate. What problem does this illustrate?

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Why is causal inference more critical in medical data science than in other fields of data science?

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Which of the following best describes the “fundamental problem of causal inference”?

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Which of the following assumptions is necessary for causal inference?

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A backdoor path in a causal Directed Acyclic Graph (DAG) must start with:

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Why are DAGs useful in causal inference?

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Which of the following is NOT a valid causal assumption?

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What is the primary goal of d-separation in causal inference?

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An observational study finds that vaccinated individuals have lower hospitalization rates for COVID-19. What should be the next step before concluding vaccine effectiveness?

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