Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Radiologists in the loop: the roles of radiologists in the development of AI applications
por: Scheek, Damian, et al.
Publicado: (2021) -
Training opportunities of artificial intelligence (AI) in radiology: a systematic review
por: Schuur, Floor, et al.
Publicado: (2021) -
Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography
por: Salim, Mattie, et al.
Publicado: (2023) -
Applications of artificial intelligence (AI) in diagnostic radiology: a technography study
por: Rezazade Mehrizi, Mohammad Hosein, et al.
Publicado: (2020) -
An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education
por: Huisman, Merel, et al.
Publicado: (2021)