The preoperative risk assessment algorithm can identify ovarian lesions with a strong likelihood of being non-cancerous and suitable for ovary-preserving surgery. The use of a consensus-based ...
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 ...
1. A group of five machine learning algorithms identified whether a patient was a suitable candidate for corneal refractive surgery with 93.4 percent accuracy, a level equal to that of expert ...
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 ...
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 ...
Accurate patient matching across the care continuum is essential for quality and safety. It's also key to driving down healthcare costs by reducing the ordering of duplicative medical tests. But ...
TEL AVIV-YAFO, Israel — A hospital in Israel is predicting patients’ risk of suffering pulmonary embolism (PE) — a potentially life-threatening lung blockage and the third most common cause of death ...
New guidelines from the American College of Cardiology and the American Heart Association (ACC/AHA), in collaboration with several other groups, are now available for the perioperative evaluation and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback