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Artificial intelligence (AI) is ubiquitous and expanding, and the healthcare industry has rapidly adopted AI and machine learning for numerous applications. However, it is essential to understand that AI is not immune to the biases that impact clinical and academic work and may inadvertently amplify rather than reduce them. To harness the power of AI, the patients must ensure that the study addresses these concerns. One should take responsibility for proactive stewardship to protect against bias, not only for new AI algorithms but also for research studies that may one day provide data for those algorithms.
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