Most surgeons continue to recommend that average-risk women older than 40 receive annual mammography screening, despite the 2009 U.S. Preventive Services Task Force (USPSTF) recommendation dictating otherwise, according to a study presented at the American Roentgen Ray Society (ARRS) meeting in Toronto.
A team led by Dr. Vilert Loving, director of breast imaging at Banner MD Anderson Cancer Center in Gilbert, AZ, used an Internet-based survey to gather opinions from 288 surgeons. The surgeons were divided into three cohorts: women at least 40 years old (group 1), women younger than 40 (group 2), and men (group 3).
In its 2009 guidance, USPSTF recommended that women be screened biennially beginning at 50 years of age and continuing through age 74. The task force reaffirmed that recommendation on April 20 after reviewing evidence from clinical trials.
But the study by Loving et al found that 88% of breast surgeons and 82% of general surgeons have been disregarding the USPSTF 2009 recommendations. An even higher percentage, 93%, said they began or would begin annual screenings for themselves at age 40.
In other results, 19% (18/94) of group 1 respondents said they will stop screening mammography at 75 to 80 years of age. The USPSTF recommendations affected 22% (50/226) of respondents' screening mammography recommendations for others and 14% (31/227) of respondents' personal screening behavior, according to the researchers. However, the changes varied from simply opening discussions with patients regarding the utility of screening, to switching from annual to biennial screening and initiating tailored risk-based screening.
![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)









