Fujifilm Medical Systems USA has signed a research agreement with Indiana University School of Medicine in Indianapolis to jointly develop artificial intelligence (AI) algorithms for medical imaging applications.
The collaboration will bring together Fujifilm's image processing and AI technology with the university's diagnostic and clinical expertise in hopes of developing medical AI technology and a system optimized to support diagnosis workflow, according to the vendor. Initially, researchers will focus on using Fujifilm AI technology to segment and quantify sarcopenia on body images, as well as for detecting and quantifying brain lesions on neuroradiology imaging studies.
In addition to working on multiple in-house imaging AI projects, Fujifilm is also currently partnering with AI technology vendors to increase the disease coverage of its systems, the company said.
![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)
