Radpair has launched Radpair 2.0, the latest version of its AI-driven radiology reporting system.
The software is now powered by Silicon Valley-based Groq’s language processing unit (LPU) AI inference technology and introduces new features, including instant inference powered by the LPU, advanced report preprocessing, intelligent AI editing, and a proprietary report verification system, the company said.
The integration of the Groq LPU AI inference technology in Radpair 2.0 allows radiologists to transcribe, generate, edit, and verify reports faster and more accurately, according to Radpair.
![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)
