Clinical data should be treated as a public good when it is used for secondary purposes, such as research or the development of AI algorithms, according to a special report published in the journal Radiology.
Category: AI & Machine Learning
One of the greatest challenges facing radiologic technologists today is the sheer amount of data they have to work with, says Mark O’Herlihy, managing director for EMEA at Cambridge, Mass.-based IBM Watson Health and a former diagnostic radiographer.Read More
Matthew Michela, president and CEO of Newton, Mass.-based Life Image, says there are three questions healthcare executives need to ask when assessing the value of an artificial intelligence product for radiology. Here they are.Read More
Researchers say 10 seconds is about how quickly it took a new system they studied that utilizes artificial intelligence to accurately identify key findings in chest x-rays of patients in the emergency department suspected of having pneumonia.Read More
Readers of the July issue of Radiology: Artificial Intelligence received a “hands on” experience about deep learning within radiology via Bradley Erickson, MD, PhD, FSIIM, a radiologist at Mayo Clinic. Erickson gives AXIS Imaging News the exclusive low-down.Read More