Nanox.AI
AI incidental finding detection for cardiac, liver, and bone on routine CT scans.
Nanox.AI delivers a proven, focused suite for cardiac, bone, and liver incidental findings—ideal for mid-to-large health systems with existing CT volume. Its targeted pathology set is a strength for opportunistic screening but a limitation if you need broader AI coverage. For an integrated, vendor-neutral solution with real outcomes data, it's a strong pick. Alternatives like Aidoc or Zebra Medical Vision offer multi-pathology coverage but may lack the same depth in these specific areas.
- Radiologists wanting to identify asymptomatic chronic disease from routine CT scans
- Large health systems (IDNs) aiming to improve preventive care and generate revenue
- Imaging centers looking to offer value-added screening without additional scans
- Clinical researchers studying opportunistic screening outcomes
- Clinics needing AI for emergency findings like stroke or pulmonary embolism
- Single-physician practices with low CT volume (cost may not justify ROI)
- Hospitals already using a comprehensive multi-pathology AI platform
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Skip Nanox.AI if you need AI coverage for a broad range of acute or emergency findings beyond cardiac, liver, and bone incidental detection.
Pricing is contact-only, so you won't know the per-scan or subscription cost until you engage sales, which may require a lengthy procurement process.
Nanox.AI is contact-sales only, typical for enterprise radiology AI. Compared to Aidoc or Zebra Medical Vision, which offer per-study pricing or SaaS tiers, Nanox.AI may require a larger upfront investment. Best for IDNs and imaging centers that can leverage high CT volume to justify cost.
In short
Nanox.AI — AI incidental finding detection for cardiac, liver, and bone on routine CT scans. Best for Radiologists wanting to identify asymptomatic chronic disease from routine CT scans, Large health systems (IDNs) aiming to improve preventive care and generate revenue, Imaging centers looking to offer value-added screening without additional scans. Contact Sales pricing.
Viability Score
How likely is Nanox.AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Detects coronary artery calcification on non-gated CT scans
- Measures bone mineral density on chest and abdominal CT
- Identifies vertebral height loss for osteoporosis screening
- Quantifies liver density on contrast and non-contrast CT scans
- Automated incidental findings detection for preventive care
- PACS integration for seamless workflow
- EMR integration for streamlined patient care
- Generates reports directly into reporting systems
- Supports non-contrast and contrast CT scans
- FDA 510(k) cleared and CE marked
- Vendor-agnostic across PAC systems
- Automated workflow automation for incidental findings
- Data protection compliant
- Over 30 million patient records and 500 million images processed
- 22 granted patents and 12 research publications
About Nanox.AI
Nanox.AI is a suite of FDA-cleared AI solutions that analyze routine CT scans to detect incidental findings associated with chronic conditions—specifically coronary artery calcification, vertebral fractures and bone mineral density loss, and fatty liver disease. Designed for radiologists, imaging centers, and health systems, Nanox.AI integrates with PACS, EMR, and reporting systems to flag asymptomatic patients for preventive care. The platform includes HealthCCSng for coronary artery calcium detection on non-gated CT, HealthOST for osteoporosis screening via vertebral height loss and bone density measurement, and HealthFLD for liver density quantification on contrast and non-contrast scans. With over 30 million patient records and 500 million images processed, backed by 22 granted patents and 7 FDA 510(k) clearances, Nanox.AI has demonstrated real-world impact—Corewell Health identified nearly 4,000 new cardiac patients in 2023 using the cardiac solution, and the ADOPT study showed improved spine fracture detection over NHS averages. The AI is vendor-neutral and automates report generation and EMR connectivity, enabling opportunistic screening without additional radiation or patient visits. Unlike general AI radiology platforms, Nanox.AI focuses specifically on incidental findings from CT scans performed for other reasons, making it a targeted tool for large health systems aiming to improve preventive care and generate revenue.
Behind the Verdict
Nanox.AI stands out for its dedicated focus on three high-impact incidental findings: coronary artery calcium, vertebral fractures with bone density, and fatty liver disease. The vendor-neutral integration with PACS and EMR is a practical advantage for health systems that don't want to be locked into a single imaging ecosystem. Real-world evidence, such as Corewell Health's nearly 4,000 new cardiac patients identified and the ADOPT study showing improved fracture detection, grounds its claims in clinical outcomes. The product's FDA clearances (7) and CE marks (2) add regulatory credibility. However, the narrow pathology scope means you'll need additional AI tools if you want to cover emergency findings (like pulmonary embolism) or other conditions. Pricing is opaque, requiring a sales call, which may deter smaller practices. The platform is not designed for real-time emergency use. If your organization runs high volumes of CT scans and wants to generate revenue from preventive screening without added radiation, Nanox.AI is a strong candidate. For broader AI coverage, consider Aidoc or Zebra Medical Vision.
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Real-world workflow fit
Concrete scenarios for the personas Nanox.AI actually fits — and what changes day-one when you adopt it.
After completing a routine chest CT interpretation, Nanox.AI automatically analyzes the scan for coronary calcium and vertebral fractures, flagging incidental findings in the PACS worklist.
Outcome: Radiologist can add incidental findings to the report without extra clicks, enabling preventive referral for asymptomatic patients.
Deploy HealthCCSng across all CT scanners in the network; AI processes each scan and populates a dashboard of actionable coronary calcification cases.
Outcome: System identifies nearly 4,000 new cardiac patients per year as seen at Corewell Health, generating downstream revenue from cardiology referrals.
Integrate HealthOST with existing PACS; no additional scan time or radiation required—AI runs in background on all abdominal CTs.
Outcome: Center offers osteoporosis screening as a value-add service, differentiating from competitors and attracting new referral sources.
Use Cases
- Identify asymptomatic coronary artery disease on routine chest CT scans
- Flag vertebral compression fractures in CT scans of the thoracic or lumbar spine
- Quantify hepatic steatosis in abdominal CTs for early fatty liver diagnosis
- Enable opportunistic osteoporosis screening using CT bone density estimation
- Generate revenue by adding screening findings to existing CT volume
- Improve population health management by detecting undiagnosed chronic conditions
Models Under the Hood
as of 2026-07-06
Limitations
- Pricing is not publicly available; you must contact sales.
- There is no self-service API or direct developer integration.
- Performance is optimized for specific CT protocols and may require calibration for non-standard acquisition parameters.
- The platform is not designed for real-time emergency use.
as of 2026-07-02
Where the pricing makes sense
The company stage and team size where Nanox.AI's pricing actually pencils out — and where peers do it cheaper.
Nanox.AI is contact-sales only, typical for enterprise radiology AI. Compared to Aidoc or Zebra Medical Vision, which offer per-study pricing or SaaS tiers, Nanox.AI may require a larger upfront investment. Best for IDNs and imaging centers that can leverage high CT volume to justify cost.
Setup time & first value
How long it actually takes to get something useful out of Nanox.AI — broken out by persona, not the marketing-page minute.
Radiologists: immediate value after PACS integration (typically 1-2 weeks). Health system deployment: 1-3 months for full EMR integration and workflow customization. No self-service setup; vendor-led onboarding required.
Switching to or from Nanox.AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual incidental finding review: Nanox.AI automates detection and reporting, reducing radiologist time per case.
- →From a single-pathology AI tool: Nanox.AI covers three conditions in one platform, consolidating vendor management.
- ↗To Aidoc: broader pathology coverage but may require workflow reconfiguration.
- ↗To Zebra Medical Vision: similar incidental finding focus but different integration approach.
Integrations
Resources & Guides
- Resourcenanox.vision
AI for Incidental Findings Detection in CT Scans | Nanox
Nanox.AI solutions detect asymptomatic findings in cardiac, liver, and bone from routine CT scans to support preventive care management.
- Resourcenanox.vision
Clinical Evidence, White Papers & Imaging Resources | Nanox
Explore clinical publications, white papers, and research on digital tomosynthesis and AI-assisted CT analysis for Nanox imaging solutions.
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