GE Healthcare has launched a new project called AI DReAM that will gather French small businesses, startups, research laboratories, and clinical centers to develop artificial intelligence (AI) for medical imaging.
For the project, GE will develop an advanced visualization platform with 2D/3D annotation tools for medical image analysis; a software development kit to develop clinical, therapeutic, and research applications for imaging; and a technology framework for meeting regulatory requirements for medical applications.
The consortium will include the following companies and organizations:
- The Curie Institute
- The Gustave Roussy Institute
- Pixyl
- SME Evolucare
- The Greater Paris Group of Hospitals (APHP)
- The Paris Hospital Saint Joseph Foundation
- Therapanacea
Applications to be developed will include managing liver cancer with AI characterization tools, the diagnosis and prognosis of lung diseases, and personalized treatment for brain cancer. The 13-million-euro initiative is supported by a program called Investments for the Future, which is led by the French Secretary General for Investment and operated by Bpifrance, GE 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.auntminnieeurope.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)
