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Nanox

Israeli imaging company (Nano-X Imaging Ltd.) offering 3D tomosynthesis systems and Nanox.AI software that detects chronic disease on routine CT.

Company overview

Nanox develops the Nanox.ARC digital tomosynthesis imaging system, cloud software and teleradiology services. Its Nanox.AI suite analyses routine CT scans to highlight asymptomatic findings, including coronary artery calcification (HealthCCSng), fatty liver (HealthFLD) and low bone density (HealthOST). The listed entity is Nano-X Imaging Ltd. of Petah Tikva.

Headquarters
Petah Tikva, Israel
Founded
2011 source
Company type
AI Technology Developer, Healthcare IT Provider, Medical Technology Manufacturer
Status
Established Company

In its own words: “Nanox.AI solutions detect asymptomatic findings in cardiac, liver, and bone from routine CT scans to support preventive care management.” source

AI products and platforms

Technology categories

Clinical applications

  • opportunistic screening on CT
  • population health

Regulatory information

  • HealthCCSng: 'FDA 510k CLEARED | CE MARKED' source
  • Nanox.ARC described as FDA-cleared, CE-marked 3D tomosynthesis system (imaging hardware) source

As stated by the company or the cited regulator page. Authorisation is specific to a product, version and market; confirm the current status with the company and the regulator. About medical device regulation

Official sources

Last verified 29 October 2026 against the sources above.

Questions about Nanox

How is AI used with ECGs from wearables and remote monitors?

AI is used to screen large volumes of ECG data from patches, wearables and remote monitors, flagging possible arrhythmias or recordings that need clinician review. This helps manage the large amount of data produced by continuous monitoring.

Important distinctions for buyers:

  • A consumer feature on a wearable and a clinical-grade analysis service can have very different intended uses and authorizations.
  • Authorization often covers specific recording hardware, leads and populations.
  • Signal quality and motion artifacts affect results.

In the US, software that analyzes physiological signals does not meet the criteria for non-device CDS. Confirm each product's status, and check how alerts are routed to clinicians and documented.

How is radiology AI different from general diagnostic imaging software?

General diagnostic imaging software stores, displays and manipulates images, for example PACS viewers, 3D reconstruction or measurement tools operated by the user. Radiology AI adds automated analysis that produces its own output, such as a detection, triage flag or quantitative result.

The distinction matters for evaluation:

  • Viewing and processing tools are judged mainly on image quality, usability and integration.
  • AI analysis tools also need evidence on accuracy, populations studied, failure modes and monitoring.

Both can be regulated medical devices depending on intended use; in the US many image management and processing functions fall under device classifications. Many vendors now combine the two, so ask which functions are AI-based and which are covered by a regulatory authorization.

What is AI image reconstruction and denoising?

AI image reconstruction and denoising use deep learning to produce clearer images from raw scanner data or to reduce noise and artifacts, for example in CT or MRI. Vendors often position these tools as supporting lower-dose or faster scanning protocols.

Unlike detection software, these tools change the image the clinician reads rather than adding a finding. Questions to ask include:

  • Is the function built into the scanner or a separate software product?
  • Which scanners, protocols and body regions is it authorized for?
  • How was diagnostic image quality evaluated, and could fine detail be lost or altered?

These functions are typically regulated as part of the imaging device or as image processing software, depending on the product and market.

More questions in the FAQ hub

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