The impact of AI suggestions on radiologists’ decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination

Various studies have shown that medical professionals are prone to follow the incorrect suggestions offered by algorithms, especially when they have limited inputs to interrogate and interpret such suggestions and when they have an attitude of relying on them. We examine the effect of correct and in...

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Detalles Bibliográficos
Autores principales: Rezazade Mehrizi, Mohammad H., Mol, Ferdinand, Peter, Marcel, Ranschaert, Erik, Dos Santos, Daniel Pinto, Shahidi, Ramin, Fatehi, Mansoor, Dratsch, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247804/
https://www.ncbi.nlm.nih.gov/pubmed/37286665
http://dx.doi.org/10.1038/s41598-023-36435-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247804/
https://www.ncbi.nlm.nih.gov/pubmed/37286665
http://dx.doi.org/10.1038/s41598-023-36435-3

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