Dear AuntMinnie Member,
This week's American Institute of Ultrasound in Medicine (AIUM) meeting is in full swing, and our staff editors Kate Madden Yee and Erik L. Ridley have been on hand in New York City, filing stories for our Ultrasound Community.
In a Sunday presentation, Dr. Edward Lyons from the University of Manitoba in Winnipeg advised radiologists to get out of the reading room and reclaim their role as consultants for clinicians. He believes that digital technologies such as PACS have isolated radiologists from their clinical brethren; radiologists should station themselves in clinical areas to restore long-atrophied connections. Dr. Lyons also has some observations regarding the impact of artificial intelligence on radiology -- learn more by clicking here.
Next up is our coverage of a presentation by Dr. Ethan Halpern of Thomas Jefferson University on the use of a new subharmonic contrast ultrasound protocol for imaging prostate cancer -- a protocol that found cancer in some patients who had negative MRI scans. Find out how it worked by clicking here.
Finally, learn about a deep-learning algorithm that analyzes ultrasound data and patient demographic information to classify the severity of liver fibrosis in patients with chronic liver disease. Get the details by clicking here.
Check back in our Ultrasound Community this week at ultrasound.auntminnie.com for more coverage of AIUM 2018, or follow us on Twitter for up-to-the-minute updates.
But ultrasound isn't the only modality generating headlines in radiology this week. Researchers in China have discovered that diffusion-tensor MRI can detect signs of abnormal brain development that could be a precursor to autism spectrum disorder. Learn more by clicking here.
And researchers from Massachusetts General Hospital found that an artificial intelligence algorithm they developed could enhance the reconstruction process for a variety of medical imaging modalities, reducing radiation dose and speeding up image acquisition. Find out how it works by clicking here.
