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When developing or deploying new algorithms, hospitals and healthcare AI developers must pay close attention to the quality of training datasets, as well as take active steps to mitigate biases, said Divya Pathak, chief data officer at NYC Health + Hospitals, during a recent panel discussion.
The post ‘Garbage In Is Garbage Out’: Why Healthcare AI Models Can Only Be As Good As The Data They’re Trained On appeared first on MedCity News.
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