Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...
AI has become an increasingly hot technology for the healthcare sector, boosting venture capital investment and spurring interest in tools that could stretch the overburdened provider workforce. But ...
Hospitals are increasingly using predictive artificial intelligence in healthcare delivery, but small, rural, independent and critical-access hospitals are lagging behind, according to data released ...
As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...
You have /3 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...
Automation can be the key to unlocking efficiency—but what happens when the algorithms at the core of an automated process perpetuate racial and economic biases? A ...
Predictive artificial intelligence (AI) technology has become very popular in recent years, with businesses of all shapes and sizes utilizing it to better understand their audiences, better predict ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results