Radiology Career and Resource Center

Welcome to the LocumTenens.com 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 LocumTenens.com's radiology recruiting services.

Radiologist Salary and Employment Statistics

The 2017 LocumTenens.com Radiologist Salary Survey annual report is now available! Results from the annual LocumTenens.com radiologist salary survey highlight annual average radiologist salaries. Respondent demographics including region of practice, board certification, and time frame for making next job change are also covered in detail in the full salary survey report.

The LocumTenens.com radiologist salary survey resource center provides more detailed salary information, including historical data from 2006 through our latest 2017 Radiologist Salary Survey.

New dyes light up tumors

Source: STAT News

Light up tumors may be the answer to surgeries for removing cancerous cells. Dyes are able to light up cancer cells different colors so doctors know which tissue to cut and which are cancer free when dye is given by IV the day before surgery. A study testing dye effectiveness showed good results with 56 tumors out 59 shown during surgery, with nine additional tumors being revealed that were not previously seen in scans. Several dyes are currently being tested.

View the complete article here.

New software helps flag images

Source: Wired

The FDA has approved the advertising of a new software program that uses an AI algorithm to analyze CT scans of stroke patients to look for blockages in brain blood vessels. Specialists will get an alert if an image is flagged for a possible blockage in brain blood vessels so doctors can take a closer look faster. Developers believe that the new software will greatly benefit radiologists and patients by flagging images that may not be normal and can make image analysis faster.

View the complete article here.

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