Source: healthimaging.com A neural network model can scour electronic medical record (EMR) data and determine if a patient has imaging-specific pulmonary embolism (PE)—a potential remedy for unnecessary CT imaging, reported authors of a multicenter studypublished in JAMA Network Open. The machine learning platform—Pulmonary Embolism Result Forecast Model or PERFORM—converts raw EMR data, such as demographics, vital signs, Read More