Konica Minolta Healthcare Americas and AI software developer Gleamer have entered into a strategic partnership in which Gleamer’s Bone View software will be added to Konica Minolta’s digital radiography (DR) product portfolio.
BoneView is a clinical decision support AI-based software solution designed to efficiently identify bone fractures by highlighting areas of interest on an x-ray image. It pinpoints fractures, effusions, dislocations, and bone lesions, and is considered a global bone trauma x-ray interpretation standard, according to Gleamer.
The vendor says that this U.S. Food and Drug Administration (FDA)-cleared computer-assisted detection tool (CADe) was trained on tens of thousands of radiographic images. It has generated clinical evidence through 80 clinical studies, one published in Radiology receiving the 2022 Alexander Margulis 2022 Award for scientific excellence by the RSNA.
![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)
