Dear AuntMinnie Member,
AI won’t replace radiologists anytime soon. But it may have a significant impact on what they spend their time on, according to our top article from last week.
After performing a quantitative task analysis, Curtis Langlotz, MD, PhD, of Stanford University, and colleagues projected that AI could cut the number of hours radiologists work by 33% in five years. However, reduction is likely to be more than offset by growth in imaging volumes, according to the authors.
Research on how imaging prices vary among U.S. states was our second most-popular story. A multi-institutional team of researchers recently assessed the cash prices for three radiology Current Procedural Terminology (CPT) codes and found significant differences.
A key way for radiologists to contribute to patient care in the emergency department is by accurately identifying neurologic manifestations of recreational drug use on CT or MRI, according to researchers from the University of North Carolina (UNC) School of Medicine. The UNC group shared what to look out for in a recent article.
In other news, the performance of digital breast tomosynthesis (DBT) was found to be reduced in extremely dense breasts. Also, an AI algorithm could predict osteoporosis from a patient’s lumbar spine x-rays. Speaking of osteoporosis, the U.S. Food and Drug Administration has cleared the use of bone scan measurements in clinical trials, a milestone that could have major implications for new osteoporosis drug development.
See below for the full list of top stories for the week.
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Key neurological imaging patterns of recreational drug use in the ED
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DBT’s performance suffers when imaging extremely dense breasts
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FDA green-lights bone scan measurements in osteoporosis trials
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Physicians make more reliable TikToks about breast cancer screening
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MRI technique shows promise for diagnosing ‘at risk’ MASH patients
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Teleradiology at an inflection point: Growth potential amid market rivalry
Erik L. Ridley
Editor in Chief
AuntMinnie.com