Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI.
The sudden rise in the ability of machine learning methodology, such as deep neural networks, to identify and predict with great accuracy instances of malignant cell growth from radiological images has led prominent developers of this technology, such as Geoffrey Hinton, to hold the view that "[...]...
| Publicado en: | Bioethics Vol. 36; no. 2; pp. 121 - 134 |
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| Formato: | Artículo |
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Wiley-Blackwell
Feb2022
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| Acceso en línea: | Ver este registro en EBSCOhost |