A novel algorithm based on patient-reported outcome questionnaires stratified patients by disease complexity and effectively identified those at a higher risk of having an acute care visit. Gauging ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

Please provide your email address to receive an email when new articles are posted on . Researchers have proposed a machine-learning algorithm for personalized treatment selection in patients with ...

Hospitalized patients with complex dietary restrictions often develop hyperglycemia, or high blood sugar. This occurs in roughly one-quarter to one-half of these patients, leading to serious ...

Researchers at Stanford University developed a neural network that can examine patient records and estimate a patient’s chance of mortality in the next three to 12 months, according to a paper ...

Researchers have developed a new algorithm that can accurately track a patient's level of consciousness, easing strain on clinicians and enabling new treatments. Visit a neurological ICU during a ...

An algorithm which can predict how long a patient might spend in hospital if they're diagnosed with bowel cancer could save the money and help patients feel better prepared. An algorithm which can ...

The nation’s largest health insurance company pressured its medical staff to cut off payments for seriously ill patients in lockstep with a computer algorithm’s calculations, denying rehabilitation ...

When it comes to our health, it’s personal. That is why it is so important that the physicians we trust make decisions about our care—not machines. And yet, in many situations, artificial intelligence ...