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


