Dear AuntMinnie Member,
"Gaslighting" is a term that's entered the lexicon relatively recently to refer to a form of emotional manipulation in which victims frequently don't know they're a target. But gaslighting doesn't occur in radiology, right?
Well, think again. Gaslighting can happen in radiology, according to a talk from the virtual meeting of the American Roentgen Ray Society (ARRS) this past week. Fortunately, there are steps you can take to identify and counter gaslighting in the workplace. Our coverage of the talk was our top story for the past week.
While we're on the subject of uncomfortable workplaces, check out this story from ARRS 2021 on what radiology departments can do to make sure their personnel are safe when working on call in emergency departments.
COVID-19 and radiology salaries
In other news, the COVID-19 pandemic may have hammered procedure volume in radiology in 2020, but it didn't appear to have a big effect on radiologist salaries. That's according to the latest numbers from our SalaryScan survey of benefits and compensation in radiology.
Meanwhile, radiology administrators and imaging managers appear to be optimistic that their facilities will remain profitable as recovery from the pandemic continues. Respondents to the latest edition of the Medical Imaging Confidence Index illustrate the big bounce back that has occurred since the depths of the pandemic in the second quarter of 2020.
We continue to learn more about COVID-19 from a clinical perspective. In another talk from ARRS 2021, researchers from New York discussed the effect on radiology of "long-haulers" -- individuals who have recovered from the disease but continue to experience symptoms. These people could require additional imaging in the months to come.
AI for breast US
Finally, another top story from our coverage of ARRS 2021 is an article on the use of artificial intelligence (AI) to detect cancer on breast ultrasound exams. Researchers from New York presented work on their AI algorithm, which they said boosted the performance of both experienced radiologists and trainees.
In another article, a Canadian group showed how an AI algorithm was able to analyze grayscale breast ultrasound exams to detect cancer subtypes that could indicate more high-risk disease.
