Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

BACKGROUND: Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical tasks, the lack of explainability continues to spark criticism...

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Detalles Bibliográficos
Autores principales: Amann, Julia, Blasimme, Alessandro, Vayena, Effy, Frey, Dietmar, Madai, Vince I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706019/
https://www.ncbi.nlm.nih.gov/pubmed/33256715
http://dx.doi.org/10.1186/s12911-020-01332-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706019/
https://www.ncbi.nlm.nih.gov/pubmed/33256715
http://dx.doi.org/10.1186/s12911-020-01332-6

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