Nanox AI

Nanox AI

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Nanox AI, the imaging-AI company formerly known as Zebra Medical Vision, builds algorithms that flag findings in medical scans for radiologists.

Overview

Founded in Israel and now part of Nanox, the team develops FDA-cleared algorithms that detect conditions across X-ray, CT and mammography — from liver disease to fractures — and surface them directly in radiology workflows. Its technology is deployed across imaging networks and teleradiology providers, helping prioritize urgent cases and catch incidental findings. The company pairs algorithm development with large-scale clinical validation, and its portfolio is one of the widest in medical imaging AI.

Key Features

  • Broad algorithm suite across X-ray, CT and mammography
  • Incidental-finding detection that surfaces overlooked conditions
  • Prioritization and worklist triage for radiology teams
  • Integration with PACS and imaging networks
  • Regulatory clearances across multiple markets
  • Population-scale deployment through Nanox ecosystem

Pricing

Nanox AI solutions are licensed to imaging providers and health systems; pricing is agreed per deployment and imaging volume.

Who Is It For

Radiology groups, teleradiology networks and screening programs that want systematic second-reader support across modalities.

Use Cases

Nanox AI supports radiology groups wanting systematic second-reader coverage across modalities.

  • Incidental finding detection on routine scans
  • Worklist prioritization for urgent cases
  • Screening program support across populations

Getting Started

Institutions deploy algorithms through imaging platform integrations, validating performance on local data before clinical reliance.

Results to Expect

More consistent detection across reading volumes, and earlier action on findings that might otherwise be missed.

Implementation and Support

Algorithms integrate through imaging platforms with local validation before clinical reliance; portfolio breadth allows phased expansion across modalities.

Limitations to Keep in Mind

Detection aids require radiologist oversight, and performance varies by modality and patient population.

What Users Say

Imaging groups value catching incidental findings that routine reading volume can miss.

Final Thoughts

Radiologists cannot unread a second opinion. Nanox AI’s breadth across modalities makes it a practical way to add systematic AI coverage without juggling a dozen vendors. Validation per modality remains essential before clinical reliance.

Bottom Line

For radiology groups wanting breadth under one agreement, Nanox AI is pragmatic. Validate per modality, then let algorithms prioritize the reading queue.

FAQ

Is Nanox AI free to use?

No. It is a commercial medical-AI portfolio sold under institutional agreements.

Does Nanox AI offer an API?

Algorithms are integrated into imaging workflows through PACS and platform interfaces defined per deployment.

How does Nanox AI compare to alternatives?

Against single-detection vendors, Nanox AI offers breadth — many findings across modalities — under one clinical agreement.

🚀 Visit Nanox AI Official Site

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