Andrea Wolf[email protected]Practice ManagementHow can radiology practice managers overcome today's challenges?Burnout remains a persistent challenge for radiology practices. In a new column, Andrea Wolf of Uppermost Strategies offers some suggestions for how to address burnout among radiologists.March 16, 2023BreastHow on-demand culture is transforming radiologyCrises spur innovation. This concept is playing out once again in the field of medical education, where healthcare providers are seeking out new forms of education. Andrea Wolf of the Brem Foundation explains.March 9, 2022BreastLanguage matters when screening women with dense breastsUntil we change how we talk about dense breast screenings, we will not make headway in providing access to this essential test to all women with dense tissue. That's according to Andrea Wolf of the Brem Foundation to Defeat Breast Cancer.September 22, 2020Page 1 of 1Top StoriesRadiologic TechnologistPetition seeks to increase number of attempts for taking ARRT examThe petition has received over 10,000 signatures as of July 16.LegislationSocieties applaud introduction of Patients First ActEconomics2027 MPFS proposed rule would lift radiology reimbursementMRIMRI could replace DRE for prostate cancer stagingMRIPetition asks FDA to implement new OEM rule for MRI safety
![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&dpr=2&fit=crop&h=167&q=70&w=250)
