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Not all biases are bad: equitable and inequitable biases in machine learning and radiology
The application of machine learning (ML) technologies in medicine generally but also in radiology more specifically is hoped to improve clinical processes and the provision of healthcare. A central motivation in this regard is to advance patient treatment by reducing human error and increasing the a...
| 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/PMC7872878/ https://www.ncbi.nlm.nih.gov/pubmed/33564955 http://dx.doi.org/10.1186/s13244-020-00955-7 |