Health IT Analytics April 7, 2022
Researchers from the US and China note that several biases found in artificial intelligence design perpetuate healthcare disparities.
Although artificial intelligence (AI) continues to become a critical aspect of healthcare, researchers from PLOS digital health biases and data gaps involved in AI production can lead to healthcare disparities.
Over time, AI increasingly uncovers ways to decrease the frequency of clinical errors and improve outcome predictions.
Although these methods have proven effective in various situations, many have been created from a biased point of view, leading to skewed results.
When segmented by clinical specialty, radiology was the most represented in AI studies...
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