Philips and Quibum are entering into a multi-year agreement to develop an integrated platform using the latter's AI-based QP-Prostate software to automate real-time prostate gland segmentation in MR images.
The companies said this will generate quantitative information and standardize MR prostate exam reporting. Philips said that by combining its own AI-based MR imaging software with Quibum's, the integrated software aims to improve workflows for clinicians dealing with high volumes of MR prostate images while also providing better care.
Philips added that the development with Quibim will be extended to address other forms of cancer beyond prostate cancer.
![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)
