Distinct visual biases affect humans and artificial intelligence in medical imaging diagnoses
Abstract Artificial intelligence (AI) systems can detect subtle features in diagnostic imaging scans that radiologists may miss, including higher-order features that lack obvious visual correlates. This may enable earlier disease detection and non-invasive lesion phenotyping, but also introduces ris...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2025-12-01
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| Seria: | npj Digital Medicine |
| Dostęp online: | https://doi.org/10.1038/s41746-025-02226-5 |
| Etykiety: |
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