GE HealthCare (GEHC) has launched AI Innovation Lab, an initiative intended to support its early-concept AI innovations.
AI Innovation Lab will tackle the following five initial AI research projects:
- Crafting an approach that includes expertise from genomics, radiology, and pathology clinicians that could help physicians streamline clinical decision-making and offer patients more personalized care.
- Supporting research being conducted by the Winship Cancer Institute of Emory University in Atlanta, GA, on early prediction of triple-negative breast cancer recurrence.
- Creating methods for separating normal mammography exams from potentially suspicious ones.
- Mitigating preventable risks associated with childbirth.
- Building a multimodal, full-body x-ray foundation model based on a dataset of 1.2 million anonymized x-ray images across a variety of body regions.
The company’s investment in cloud technology supports the project, providing the computing power to drive the development of AI at scale, 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)
