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 ...

Peter Salgo, MD, and John L. Fox, MD, MHA, discuss the definition of predictive value of diagnostic testing in cancer and describe the value of the genomic assays that are currently available in ...

Traditional testing, though valuable, is often reactive and identifies quality issues only after they have occurred. This can lead to project delays and financial and reputational losses. In fact, ...

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 ...

New University of Utah research reveals the potential of medication informatics and DNA drug-sensitivity testing to reduce overall healthcare resource use and costs in elderly patients treated with ...