AuntMinnie launches AI Community | MRI of knee osteoarthritis | Beating burnout for radiologist

Dear AuntMinnie Member,

We're pleased to announce the launch of the Artificial Intelligence Community, a new special section on AuntMinnie.com devoted to machine learning, deep learning, and other aspects of artificial intelligence (AI) as applied to radiology.

Artificial intelligence is an exciting new field in which powerful computer algorithms are applied to large volumes of digital data. The goal of AI is to help healthcare providers make faster, more accurate decisions that ultimately lead to better patient outcomes.

In radiology, AI offers the promise of helping radiologists cope with the deluge of data being generated by today's ever-more-powerful imaging modalities. But in what specific ways will the technology be used? Senior Editor Erik L. Ridley explores that question in a two-part series that includes the perspectives of some of radiology's most respected thought leaders. Get started by clicking here, and read part 2 by clicking here.

From key radiology applications for AI to potential barriers to its adoption, you'll get a comprehensive look at this field and the exciting potential it holds for medical imaging. Check out the community by clicking here, or visit ai.auntminnie.com.

MRI of knee osteoarthritis

Meanwhile, a new study published online May 2 in Radiology describes how researchers from the University of California, San Francisco (UCSF) used MRI to show how being overweight can affect wear and tear of the knees.

The UCSF team tracked patients who lost weight and used MRI to measure cartilage and meniscus changes in their knees. They found that individuals who lost more weight had less evidence of knee degeneration than those who didn't lose weight. Get the rest of the story by clicking here, or visit our MRI Community at mri.auntminnie.com.

Beating burnout for radiologists

Are you feeling burned out? Trying to figure out how to rejuvenate your attitude toward work? Then read this article on burnout among radiologists, based on a presentation at this week's American Roentgen Ray Society meeting, where Associate Editor Kate Madden Yee is in attendance.

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