Australia-based Qscan Group has deployed Carpl.ai directly within its Intelerad PACS environment for AI-assisted radiology reporting workflows.
The move allows Qscan’s radiologists to access and validate AI algorithms, including tools supporting Australia’s National Lung Cancer Screening Program, from within their existing PACS interface.
The partnership builds on Qscan’s decade-long collaboration with Intelerad, which provides enterprise imaging software to health systems globally. The existing partnership between Intelerad and Carpl.ai ensures that AI results will appear natively within the radiologist’s viewer, Qscan said.
Carpl.ai’s platform offers more than 200 AI models across multiple clinical use cases.
![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.auntminnieeurope.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)
