<ul><li>Deep learning based diagnostic AI systems based on medical images are starting to provide similar performance as human experts.</li><li>Lack of transparency in complex AI systems hinders their adoption in high-risk applications like healthcare.</li><li>Conformal analysis is being deployed to address the problem of lack of transparency in foundation models for skin lesion classification.</li><li>The method of conformal analysis provides coverage guarantee at population level and uncertainty score for each individual, making it a helpful fairness metric for evaluating AI models.</li></ul>

Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics

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