First of its kind study tests the assumption that AI technology does not influence radiologists’ performance
Whiterabbit.ai, an AI company targeting late-stage diseases, today announced efforts to recruit radiologists specializing in the field of mammography to participate in a two-session, retrospective study to evaluate the impact of artificial intelligence on radiologists’ performance. The study, developed in collaboration with researchers at the Stanford School of Medicine, will test the long-standing assumption made by the majority of peer-reviewed publications that the use of artificial intelligence does not influence radiologists’ performance.
“This study comes at a pivotal time in the development of artificial intelligence-driven products, as innovative technology has the capability to significantly support radiologists’ workflow and inform decision making,” said Whiterabbit.ai CEO Alexander Sardiña, MD. “That could have important implications in clinical settings regarding the adoption of emerging AI technology, potentially overcoming detection and diagnostic challenges.”
The study, conducted at Stanford Medicine, will take place over two weekends in early 2023. Participating radiologists will read mammography cases without AI intervention and four to six weeks later will reread the cases with AI intervention.
For radiologists interested in participating in or learning more about the study, please contact: sbogdan@stanford.edu.
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