Publicação: Studying AI Explanations to Improve Healthcare for Underserved Communities

Publicado no Partnership on AI

HEALTHINTELIGÊNCIA ARTIFICIAL

6/14/20221 min read

Sobre a publicação

Ultimately, our findings suggested that saliency maps (which use colors to highlight which part of an image is most important) would be the most useful type of explanation for technicians for understanding why the ML system is flagging their exams as low-quality.

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2022