Uncovering Demographic Bias in AI Models Evaluating Skin Conditions from Clinical Images (IMAGE)

Health Data Science

Uncovering Demographic Bias in AI Models Evaluating Skin Conditions from Clinical Images

Caption

Scientists from ShanghaiTech University compared the performance of large language models (LLMs), like ChatGPT-4 and LLaVA, in diagnosing skin diseases among male and female patients across different age groups. The findings point to potential biases across age and sex groups, that must be addressed before clinical deployment.

Credit

Zhiyu Wan, Health Information Safety and Intelligence Research Lab, ShanghaiTech University (generated with the help of ChatGPT-4o)

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