Dear AuntMinnie Member,
The emerging technology of radiography-based lung computer-aided detection is set to get a boost in January, when new regulatory codes will take effect in the U.S. making it easier to get reimbursement for the procedure.
The American Medical Association (AMA) has issued a Category III Current Procedural Terminology (CPT) code for x-ray lung CAD, with the code going into effect on January 1, according to an article we're featuring in our Advanced Visualization Digital Community by contributing writer Cynthia Keen.
Radiography lung CAD is still an emerging niche, with just a few companies participating in the segment. Those that are developing x-ray-based lung CAD software hope it will prove to be a more economical alternative to CT-based lung CAD.
The AMA decision could be a shot in the arm to the segment by making it more profitable for radiologists to use x-ray lung CAD. Get all the details by clicking here.
In other news, AuntMinnie is heading to Chicago later this week for radiology's showcase conference, the RSNA show. You've already seen our comprehensive Road to RSNA preview -- stay tuned starting Sunday for our RADCast@RSNA, featuring daily reports from McCormick Place. Just go to radcast.auntminnie.com.
Also, if you happen to be on the technical exhibit floor, stop by the AuntMinnie booth #4901 in the South Building. We'd love to say hello, and on Monday, November 28, between 1-3 p.m. we'll be featuring a special event with Michael J. Cannavo, PACS Guru, and Dr. Sam Friedman, the Dalai Lama of PACS.
You've read Mike and Sam's commentary on the PACS market on AuntMinnie.com -- on Monday you'll be able to meet them in the flesh and ask them your questions about the topsy-turvy world of PACS.
See you in Chicago!
![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)
