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Radiology Career and Resource Center

Welcome to the Radiology Career and Resource Center! Here you can stay up-to-date on the latest news and trends in your industry, find links to radiology organizations and associations, and more radiology career related information. Of course, you're only a few clicks away from finding the perfect radiology job opportunity, too. Learn more about's radiology recruiting services.

Radiologist Salary and Employment Statistics

The 2020 radiologist salary survey annual report is now available! Results from the annual radiologist salary survey highlight annual average radiologist salaries. Respondent demographics including region of practice and employment status are covered in detail. Also, view clinicians’ thoughts on another wave of COVID-19 and patient misinformation about the virus. 

The radiologist salary survey resource center provides more detailed salary information, including historical data.

AI-radiology collaboration for better diagnostics

Source: Stanford News

Locating an aneurysm is one of the most labor-intensive and critical tasks radiologists undertake. Applying advances in computer science to neuroimaging, medical experts and computer scientists at Stanford University have come together to develop a new artificial intelligence tool that may help radiologists diagnose brain aneurysms with more precision and accuracy. The tool, built around an algorithm called HeadXNet, shows great promise, but further research will be required before deploying in clinical settings.

View the complete article here.

Pin-pointing treatment resistant tumors for effective cancer therapy

Source: University of Arkansas

What happens when cancer patients undergo full radiation or chemotherapy treatment regimens for tumors only to be later identified as non-responders? Using a noninvasive imaging technique called Raman spectroscopy, researchers studied the variations in treatment sensitivity of tumors in mice. Applying these findings, pilot clinical trials are now underway to see if Raman spectroscopy can be used to identify treatment-resistant tumors in head and neck cancer patients.

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