Artificial intelligence (AI) software developer Zebra Medical Vision has received grants from the Israeli Innovation Authority to integrate AI algorithms into the radiology workflow at three major medical institutions in Israel.
Zebra has agreed to provide its AI algorithms to the following institutions:
- Ichilov Hospital: Home to Israel's largest emergency room, Ichilov Hospital will use Zebra's AI algorithms to prioritize radiologists' worklists and increase the speed at which they are able to detect life-threatening issues.
- Maccabi Healthcare Services: Zebra's deep-learning breast cancer algorithm will serve as a second reader to minimize the risk of misdiagnosis.
- Clalit Health Services: Zebra's AI technology will allow clinicians at Israel's largest health maintenance organization (HMO) to detect early signs of osteoporosis and heart disease on medical images.
![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)
