AI software company Enlitic has secured distribution agreements for its Endex platform with Bayer and Philips Healthcare.
Endex is a computer vision and natural language processing platform designed to transform medical imaging data into a standardized nomenclature while enabling relevant clinical content to be connected across disparate IT systems in a hospital, according to the vendor.
In a three-year partnership with Bayer, Endex will be integrated into and distributed alongside Bayer’s radiation dose management software to support radiation dose monitoring, Enlitic said. The initial rollout includes up to 50 radiology sites, with potential for expansion to up to 200 sites.
In another three-year contract, Philips has agreed to implement Endex through Enlitic's distribution partner, Blackford. After completing validation testing, Endex will be integrated into Philips' PACS software to streamline radiology workflows, the company said. The initial agreement covers a limited number of sites, with the opportunity for further expansion, Enlitic added.
The deal with Bayer is expected to generate revenues of approximately $50,000 per year and the deal with Philips between $100,000 and $380,000 per year, Enlitic 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&fit=crop&h=100&q=70&w=100)







![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&fit=crop&h=112&q=70&w=112)








