A machine and human reader study on AI diagnosis model safety under attacks of adversarial images

While active efforts are advancing medical artificial intelligence (AI) model development and clinical translation, safety issues of the AI models emerge, but little research has been done. We perform a study to investigate the behaviors of an AI diagnosis model under adversarial images generated by...

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Detalles Bibliográficos
Autores principales: Zhou, Qianwei, Zuley, Margarita, Guo, Yuan, Yang, Lu, Nair, Bronwyn, Vargo, Adrienne, Ghannam, Suzanne, Arefan, Dooman, Wu, Shandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671500/
https://www.ncbi.nlm.nih.gov/pubmed/34907229
http://dx.doi.org/10.1038/s41467-021-27577-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671500/
https://www.ncbi.nlm.nih.gov/pubmed/34907229
http://dx.doi.org/10.1038/s41467-021-27577-x

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