Dear AuntMinnie Member,
Radiologists tend to have the highest salaries in states that voted Republican in the last U.S. presidential election, while radiologic technologists do better in states that voted Democratic.
That's according to the results of AuntMinnie.com's most recent SalaryScan survey, the results of which are being released this week. The SalaryScan data can be reviewed in AuntMinnie.com's Job Boards.
According to SalaryScan, radiologists had the highest average base salaries in two regions that predominantly went "red" in the 2004 election -- the U.S. West North Central region and the U.S. East South Central zone. Radiologist salaries were lowest in two regions where most states went "blue" -- the U.S. New England area and the U.S. Pacific zone.
The situation was reversed for radiologic technologists. RTs reported the highest average base salaries in the U.S. Pacific region, followed by the U.S. New England zone. RT salaries were lowest in the U.S. East South Central region, followed by the U.S. West North Central area.
Statistical anomaly or alarming trend? Decide for yourself after reading our article on the SalaryScan results, which you can reach by clicking here. More detailed information on salaries for radiology professionals around the world is available in our Job Boards area, at jobs.auntminnie.com.



![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)



![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)







