Image Interpretation Radiologist Radiology 
AuntMinnie
FEBRUARY 26, 2025
In his talk, Marc Kohli, MD, from the University of California, San Francisco, discussed current applications of this technology in clinical radiology. He also talked about challenges in integrating generative AI into practice, potential benefits, and what the future may hold for the technology and how it may pertain to radiologists.
AuntMinnie
MARCH 20, 2025
Only two previous studies have addressed the issue of whether enhancements in visual perception abilities of radiologists are a product of specialist professional training, with mixed results, the authors explained. chest imaging versus mammography) and their associated training differentially affect visual perception, they wrote.
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Radiology Business
JULY 1, 2024
Radiologists interpret almost all imaging studies generated in hospital settings for indications other than cardiac concerns.
AuntMinnie
JULY 1, 2024
A team led by Eric Christensen, PhD, research director at the Neiman Institute, reported that radiologists interpreted 72.1% of all imaging studies for Medicare fee-for-service beneficiaries in 2022, but that the remaining 27.9% The results were published on June 28 in the Journal of the American College of Radiology.
AuntMinnie
APRIL 2, 2025
A significant percentage of imaging studies ordered by office-based healthcare providers are self-interpreted rather than referred to radiologists for reading, according to researchers from the Harvey L. of office-based studies were interpreted by the ordering provider, and 58.5% Neiman Health Policy Institute (HPI).
Ben White
MAY 9, 2023
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. Six weeks?!
AuntMinnie
NOVEMBER 21, 2024
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. were female and 64.7%
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