Improving the accuracy of medical diagnosis with causal machine learning

Short summary

A new counterfactual machine learning algorithm achieved expert clinical accuracy in diagnosing patients, placing in the top 25% of doctors in a clinical vignette test, significantly outperforming standard associative algorithms (top 48%).

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