In recent years, artificial intelligence (AI) has been recognized as a powerful tool in the field of medical imaging. However, these models can be subject to several biases, leading to inequities in how they benefit both doctors and patients. Understanding these biases and how to mitigate them is the first step towards a fair and trustworthy AI. Credit: MIDRC, midrc.org/bias-awareness-tool (IMAGE)

SPIE--International Society for Optics and Photonics

In recent years, artificial intelligence (AI) has been recognized as a powerful tool in the field of medical imaging. However, these models can be subject to several biases, leading to inequities in how they benefit both doctors and patients. Understanding these biases and how to mitigate them is the first step towards a fair and trustworthy AI. Credit: MIDRC, midrc.org/bias-awareness-tool

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In recent years, artificial intelligence (AI) has been recognized as a powerful tool in the field of medical imaging. However, these models can be subject to several biases, leading to inequities in how they benefit both doctors and patients. Understanding these biases and how to mitigate them is the first step towards a fair and trustworthy AI.

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MIDRC, midrc.org/bias-awareness-tool.

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