GE Healthcare has formed a partnership with the Egyptian Ministry of Health to improve the nation's healthcare technology management system.
The agreement seeks to enhance and optimize technology use and performance, and it also provides scope to develop new health technology policies, according to the vendor. It also includes provisions to measure the clinical effectiveness and productivity of health technologies and to address technology management services such as education and training, GE said.
The agreement features a proposal to establish a biomedical center of excellence for Egypt. A feasibility study will be conducted in phase 1, prior to the development of a strategic operating plan for launching the center in phase 2, GE said. The center would be run by the Ministry of Health and Population in cooperation with GE and the World Health Organization (WHO).
![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)