One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

Researchers have found that leading facial recognition algorithms have different accuracy rates for different demographic groups. The first study to demonstrate this result was a 2003 report by the ...

An updated emergency visit classification tool enables managers to make valid inferences about levels of appropriateness of emergency department utilization and healthcare needs within a population.

Facial recognition has improved dramatically in only a few years. As of April 2020, the best face identification algorithm has an error rate of just 0.08% compared to ...