The American College of Radiology (ACR) said it has joined the ABIM Foundation and eight other medical specialty societies in Choosing Wisely, a new campaign to promote wise choices by physician and patients.
The campaign aims to improve health outcomes, avoid unnecessary interventions, and support efficient use of healthcare dollars, according to ACR. For its part, ACR will develop a list of five steps to reduce unnecessary imaging exams ordered by physicians and improve quality of care.
This list will name imaging exams that should be discussed in terms of necessity before they are ordered, and it will also equip providers with steps to ensure safe and appropriate use of scans, according to the organization.
In other ACR news, the U.S. Food and Drug Administration (FDA) has approved the ACR to accredit the Planmed Nuance and Nuance Excel full-field digital mammography (FFDM) systems, effective December 27. The ACR will begin contacting facilities that already use Planmed systems under an FDA-approved extended Mammography Quality Standards Act (MQSA) certificate to advise them of the change and how to proceed with accreditation.









![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)






