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Solving the explainable AI conundrum by bridging clinicians’ needs and developers’ goals
Explainable artificial intelligence (XAI) has emerged as a promising solution for addressing the implementation challenges of AI/ML in healthcare. However, little is known about how developers and clinicians interpret XAI and what conflicting goals and requirements they may have. This paper presents...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202353/ https://www.ncbi.nlm.nih.gov/pubmed/37217779 http://dx.doi.org/10.1038/s41746-023-00837-4 |