Image Interpretation IT Radiologist 
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
JULY 1, 2024
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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AuntMinnie
MAY 29, 2024
In her presentation, Noushin Yahyavi, MD, from the University of Maryland in Baltimore discussed ways that stakeholders in imaging AI, including radiology departments and AI vendors, can better promote health equity with the technology. Biased data results in biased AI models,” Yahyavi said.
Future Teleradiology
NOVEMBER 18, 2023
This blog unveils the intricate mechanisms by which Teleradiology services guarantee optimal quality in image interpretation, shaping the future of diagnostic accuracy. Technology’s Crucial Role: Advanced Imaging for Optimal Clarity: Highlight the indispensable role of advanced imaging technologies in Teleradiology.
AuntMinnie
SEPTEMBER 11, 2024
The RSNA has released its plenary session slate for its 2024 annual meeting to be held December 1 to 5 in Chicago which will focus on the role AI plays in empowering radiologists. Also during the opening session, Nina Ellen Kottler, MD, will present “The Only Way to Predict the Future Is to Create It.”
Ben White
JULY 3, 2023
A few years ago, nearly every radiologist completed a fellowship. Recently I’ve been asked by several readers if I thought that fellowships were still necessary given the current radiologist shortage and white-hot market. Are practices desperate enough to hire general radiologists fresh out of practice?
AuntMinnie
OCTOBER 31, 2023
Significantly, the app leverages deep learning-based image segmentation in combination with computer-simulated lung nodules to automatically generate cases, lead author Jens Borgbjerg, MD, PhD, of Akershus University Hospital in Oslo, Norway, told AuntMinnie.com. “For Self-directed learning is a mainstay of radiological education.
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