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Radiologists less susceptible to visual illusions

AuntMinnie

Medical image experts demonstrated superior perceptual accuracy in response to visual illusions compared with a control group, according to recent research. Image and caption available for republishing under Creative Commons license (CC BY 4.0 and colleagues. DEED, Attribution 4.0 Experts had mean scores of 0.49 versus 0.29

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HPI: Almost a third of image interpretation done by nonradiologists

AuntMinnie

Almost a third of imaging exam interpretations are performed by nonradiologists, according to a Harvey L. A team led by Eric Christensen, PhD, research director at the Neiman Institute, reported that radiologists interpreted 72.1% million (72.1%) were interpreted by radiologists. Of these, 88.5

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Does AI contribute to burnout for radiologists?

AuntMinnie

Frequent AI use is associated with an increased risk of radiologist burnout, particularly among those with high workloads and low AI acceptance, suggests a study published November 22 in JAMA Network Open. In China, the annual growth rate of medical imaging data is 7.5 times that of radiologists, they wrote.

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The Radiologist Shortage is Here

Ben White

It should go without saying, but I’ll say it anyway: these are my opinions, formed from the combination of my biases, my experience as a radiologist since beginning residency 10 years ago, and my many conversations with radiologists across the country. Imaging volumes are increasing between 3 to 5% per year.

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The John Henry Generation: The last of the radiologists, Part 1

AuntMinnie

Todays radiologists face a similarly existential challenge, though its dimensions are not purely mechanical but deeply technological and economic. A looming crisis Data from IMV Medical Information Division and the American College of Radiology indicates that, in 2022, about 34,000 (range 30,000 to 37,000) radiologists in the U.S.

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The John Henry Generation: The last of the radiologists, Part 2

AuntMinnie

In Part 1 of his two-part series, radiologist Josh Ewell, DO, discussed developments in AI technology and the potential impact of these advances on radiology. A self-reinforcingspiral Initially, AI tools will fulfill their promise to relieve the burden of our worsening radiologist shortage: more studies can be read in less time.

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Can LLMs help improve oncologic imaging interpretation?

AuntMinnie

Radiologists highly prefer patient clinical histories generated by large language models (LLMs) for oncologic imaging requisitions to those typically produced by referring physicians,according to research published February 4 in Radiology.