Healthcare Algorithms Are Biased, and the Results Can Be Deadly Deep-learning algorithms suffer from a fundamental problem: They can adopt unwanted biases from the data on which they're trained. In ...
We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...
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