According to a new article appearing in the American Journal of Roentgenology, machine learning models applied to presently underutilized imaging features could help construct more reliable criteria for organ allocation and liver transplant eligibility.
Tag: machine learning
Amazon’s machine learning service has been proving useful to researchers working to find ways to diagnose COVID-19 from x-rays and CT scans.Read More
With the deal, RDNT acquires an existing business partner as management believes machine learning and AI will be increasingly important in healthcare operations and quality delivery in the coming years.Read More
Penn Medicine researchers are the first to discover two distinct neuroanatomical subtypes of schizophrenia after analyzing the brain scans of more than 300 patients.Read More