Erroneous data: The Achilles' heel of AI and personalized medicine
This paper reviews dilemmas and implications of erroneous data for clinical implementation of AI. It is well-known that if erroneous and biased data are used to train AI, there is a risk of systematic error. However, even perfectly trained AI applications can produce faulty outputs if fed with erron...
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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2022-07-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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