Zebra Medical Vision (Nanox)

Nanox.AI System Architecture Assessment

As of January 2026, Nanox.AI (the software arm of Nano-X Imaging) has transitioned from a standalone algorithm suite to an integrated hardware-software ecosystem. The architecture is centered on Nanox.CLOUD, which orchestrates data flows from traditional CT scanners and the newly FDA-cleared Nanox.ARC X digital tomosynthesis system 📑. This shift allows for advanced 3D imaging in everyday care settings at a significantly lower cost and radiation dose than conventional CT 📑.

Imaging Orchestration & Analysis Pipeline

The system utilizes a containerized processing engine to execute FDA-cleared algorithms, now including specialized tools for aortic valve and body composition analysis.

• Nanox.ARC X Integration: Direct ingestion of digital tomosynthesis data, providing 3D-like views with simplified 'plug and play' installation in shielded rooms 📑.
• HealthBox Suite (2026): Orchestrates modules including HealthCCSng (Cardiac), HealthOST (Bone), and HealthFLD (Liver), supplemented by new pulmonary nodule detection algorithms 📑.
• Strategic Reseller Network: Integration with 3DR Labs infrastructure, allowing for rapid scaling of AI-driven post-processing across US hospital networks 📑.

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Operational Scenarios

• Advanced Cardiac Screening: Input: Routine chest tomosynthesis (DICOM) via Nanox.ARC X → Process: Automatic aortic valve calcification measurement and CAC scoring via HealthCCSng → Output: Agatston-equivalent score populated in the radiology worklist 📑.
• Population Health Bone Analysis: Input: Existing CT archives or new lumbar X-rays → Process: HealthOST algorithm identifies vertebral fractures and low bone mineral density (BMD) markers → Output: Automated notification to population health managers for osteoporosis intervention 📑.

Evaluation Guidance

Technical evaluators should verify the following architectural characteristics:

• ARC X Latency: Benchmark the reconstruction and AI analysis time for Nanox.ARC X digital tomosynthesis data compared to standard CT cloud processing 🧠.
• 3DR Labs Workflow Integration: Verify the hand-off protocol between 3DR Labs' remote reading services and the Nanox.AI automated reporting module 🌑.
• FHIR R5 Compatibility: Organizations should validate the depth of bidirectional data sync for AI findings within the latest Epic/Cerner EHR modules for 2026 🌑.