AI and Clinical Practice—Improving Health Care Quality and Equity
JAMA Medical News
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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