Preparing IT architecture for artificial intelligence (AI) and business intelligence and analytics in radiology requires a broad strategic architectural perspective and governance that often have been lacking at healthcare institutions, according to Dr. Paul Chang of the University of Chicago. AuntMinnie.com
The widespread adoption of artificial intelligence (AI) in radiology could be delayed by significant architectural shortcomings in current healthcare IT infrastructure, according to Dr. Paul Chang of the University of Chicago. He spoke on Thursday in a webinar held by the Society for Imaging Informatics in Medicine (SIIM). AuntMinnie.com
Using multiparametric MRI (mpMRI) to image men suspected of having prostate cancer can reduce unnecessary biopsies by more than a third and increase the detection of clinically significant disease by more than 50%. By Kate Madden Yee, AuntMinnie.com staff writer
Swiss and German researchers have devised an effective diagnostic cardiac MRI workup strategy that has quadrupled the rate of myocarditis detection in patients with myocardial infarction and nonobstructive coronary artery disease. By Wayne Forrest, AuntMinnie.com staff writer
The thickness of the coronary wall is a marker for coronary artery disease (CAD) in women, and it can be visualized using MRI -- giving clinicians a potential tool to recognize heart disease in women earlier. By Kate Madden Yee, AuntMinnie.com staff writer
Automated breast ultrasound (ABUS) is more accurate than digital breast tomosynthesis (DBT) as a diagnostic tool for working up positive findings on mammography screening in dense breast tissue. By Kate Madden Yee, AuntMinnie.com staff writer
The rapid development of artificial intelligence (AI) technology for radiology applications has led to concerns over how to ensure its safe and appropriate use. In response, seven prominent. By Erik L. Ridley, AuntMinnie staff writer
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