Generalizability and usefulness of artificial intelligence for skin cancer diagnostics: An algorithm validation study
Abstract Background Artificial intelligence can be trained to outperform dermatologists in image‐based skin cancer diagnostics. However, the networks' sensitivity to biases and overfitting may hamper their clinical applicability. Objectives The aim of this study was to explain the potential con...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Book |
| Published: |
Wiley,
2022-12-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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