‘Garbage In Is Garbage Out’: Why Healthcare AI Models Can Only Be As Good As The Data They’re Trained On

MedCity News April 1, 2024
Katie Adams

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 accuracy and reliability of AI models hinges on the quality of the data they are trained on. This can’t be forgotten — especially when these tools are being applied to healthcare settings, where the stakes are high.

When developing or deploying new technologies, hospitals and healthcare AI developers must pay meticulous attention to the quality of training datasets, as well as take active steps to mitigate biases, said Divya Pathak, chief data...

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