Brian Casey, Erik L. Ridley, Kate Madden Yee, Will Morton, and Amerigo Allegretto[email protected]HomeMeet the Minnies 2022 finalistsMinnies finalists, page 3September 29, 2022HomeMeet the Minnies 2022 finalistsMinnies finalists, page 2September 29, 2022HomeMeet the Minnies 2022 finalistsWho made it to the final round in this year's edition of the Minnies, AuntMinnie.com's event recognizing excellence in radiology? Find out who our expert panelists selected as the final candidates in this year's event.September 29, 2022HomeMinnies 2021 winners show COVID-19's long shadowMinnies winners, page 3October 27, 2021HomeMinnies 2021 winners show COVID-19's long shadowMinnies winners, page 2October 27, 2021HomeMinnies 2021 winners show COVID-19's long shadowAlmost two years since the start of the global COVID-19 pandemic, the novel coronavirus continues to exert a powerful influence over the world -- and radiology. That's evident in this year's Minnies awards, where issues related to the pandemic were front and center.October 26, 2021HomeMeet the Minnies 2021 finalistsMinnies finalists, page 3September 29, 2021HomeMeet the Minnies 2021 finalistsMinnies finalists, page 2September 29, 2021HomeMeet the Minnies 2021 finalistsWho made it to the final round in this year's edition of the Minnies, AuntMinnie.com's event recognizing excellence in radiology? Find out who our expert panelists selected as the final candidates in this year's event.September 28, 2021Page 1 of 1Top StoriesAIRadiology dominates thirty years of FDA AI device approvalsThe total annual authorization volume increased from a mean of 1.8 per year between 1995 and 2014 to 264 per year between 2023 and 2025.Radiologic TechnologistPetition seeks to increase number of attempts for taking ARRT examLegislationSocieties applaud introduction of Patients First ActEconomics2027 MPFS proposed rule would lift radiology reimbursementMRIMRI could replace DRE for prostate cancer staging
![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)
