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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
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