Dear AuntMinnie Member,
A new study out this month indicates that while breast imaging specialists are worried about malpractice claims, their concerns aren't prompting them to order more recalls or biopsies.
The study found a high level of concern about malpractice, according to a two-part series by staff writer Shalmali Pal that we're featuring in our Women's Imaging Digital Community this week. Nearly three-quarters of respondents stated that their worries about litigation moderately or greatly increased the number of follow-up diagnostic exams they ordered.
But the researchers did not detect any association between the radiologists who were concerned about mammography malpractice and their actual recall rates. Nor did radiologists who had previously been sued for malpractice order a larger number of follow-up exams.
Still, the study authors were surprised by the level of concern about malpractice and its impact on whether breast imaging specialists wanted to remain in mammography at all. Over one-third of respondents said they were thinking about leaving the field due to legal concerns.
Read all about the study by clicking here, and when you're done make sure to read part II of the series, an exclusive interview with the study's authors, available here.

![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)








