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Letter to the editor: “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
Artificial intelligence algorithms are booming in medicine, and the question of biases induced or perpetuated by these tools is a very important topic. There is a greater risk of these biases in radiology, which is now the primary diagnostic tool in modern treatment. Some authors have recently propo...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208365/ https://www.ncbi.nlm.nih.gov/pubmed/34132919 http://dx.doi.org/10.1186/s13244-021-01022-5 |