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Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Transparency in Machine Learning (ML), often also referred to as interpretability or explainability, attempts to reveal the working mechanisms of complex models. From a human-centered design perspective, transparency is not a property of the ML model but an affordance, i.e., a relationship between a...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581990/ https://www.ncbi.nlm.nih.gov/pubmed/36261476 http://dx.doi.org/10.1038/s41746-022-00699-2 |