Knee-capping the NIH
America Dissected
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Navigating Data Bias in Healthcare
This chapter examines the complexities of data interpretation in clinical scenarios, particularly regarding untreated UTIs and the implications of AI in healthcare. It raises concerns about biases in existing literature, the normalization of AI outputs, and advocates for equitable practices in medical research. The discussion emphasizes the critical role of diversity in clinical trials and the limitations of traditional metrics like BMI in representing diverse populations.
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