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AI and Clinical Practice—Improving Health Care Quality and Equity

JAMA Medical News

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Addressing Bias in AI Training Data for Equitable Healthcare Outcomes

Exploring the significance of unbiased data in AI training to prevent historical biases and ensure fair results in healthcare, along with the necessity of post-market surveillance for algorithms. Emphasizing the balance between scientific rigor and innovation in the rapidly evolving field of AI.

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