AI developer Radpair and Radiopaedia.org plan to collaborate on the launch of Radpair's PAIR Insights, a software feature designed to enhance the quality and efficiency of radiology reporting.
Radpair’s software is a cloud-based generative AI application in a web-based interface that allows users to use voice commands to generate precise, templated reports for each study type. The PAIR Insights feature will enable radiologists to automatically insert guidelines and classifications from Radiopaedia directly into their reports, Radpair said.
In addition, Radpair’s platform will allow users to search within Radiopaedia without leaving the reporting interface, which can streamline workflow and boost productivity, the company noted.
![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)
