Nuance Communications reports that its artificial intelligence (AI) marketplace has grown quickly since launching about one year ago.
The company's AI Marketplace for Diagnostic Imaging is a collaborative community of developers, publishers, data scientists, and radiologists validating algorithms for radiology, and it combines its PowerScribe radiology reporting and PowerShare image exchange network with Nvidia's deep-learning platform. This allows for widespread development and rapid deployment of AI models into existing radiology workflows, according to Nuance.
The marketplace is capable of creating and distributing algorithms for 25,000 radiologists across 5,500 healthcare facilities, the company said. It now has more than 40 developers, including Nvidia, Israeli software developer Aidoc, Zebra, Aidence, Densitas, Massachusetts General Hospital, and Brigham and Women's Hospital.
Furthermore, Nuance is working with the American College of Radiology and other standards bodies to establish and apply application program interface (API) connectivity standards for the use of AI in the radiology workflow, as well as EHRs, PACS, and registries.
![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)
