HealthCCSng
Overview
HealthCCSng by Nano-X AI is an FDA-cleared, AI-powered software solution designed to analyze routine non-gated, non-contrast chest CT scans. It automatically detects, quantifies, and categorizes coronary artery calcification (CAC), a key indicator of coronary artery disease. The tool helps clinicians identify asymptomatic patients at risk of cardiovascular events, facilitating earlier intervention and preventive care pathways. HealthCCSng V2.0, the upgraded version, introduces advanced features such as ‘zero calcium’ categorization, numerical CAC scoring, and customizable CAC category configuration. It seamlessly integrates with existing Picture Archiving and Communication Systems (PACS) and Electronic Medical Record (EMR) systems, providing valuable clinical insights directly within the radiologist’s workflow. The solution supports Current Procedural Terminology (CPT®) codes 0721T and 0722T for service reimbursement.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Analyzes non-contrast, non-ECG gated chest CT scans
- Automatically detects and quantifies coronary artery calcification (CAC)
- Categorizes studies into 'zero', 'low', 'moderate', and 'severe' CAC categories
- Generates a numerical calcium score
- Provides visualization of calcified plaques within coronary arteries
- Seamless integration with PACS and EMR systems
- Automated workflow for results without human intervention
- Customizable CAC category configuration
- Supports CPT Code III (0721T & 0722T) for service reimbursement
- Device output available to radiologists as part of their standard workflow
Use Cases
- Opportunistic screening for coronary artery disease from routine chest CT scans (e.g., lung cancer screening programs)
- Early identification of patients at risk of cardiovascular events
- Directing at-risk patients to appropriate preventative cardiac care and treatment pathways
- Adding clinical value to radiology reports with numerical CAC scoring
- Improving patient outcomes and potentially generating revenue for healthcare systems
What Physicians Need to Know
HealthCCSng offers a valuable tool for opportunistic screening of cardiovascular disease risk by leveraging routine non-cardiac CT scans. Physicians should consider integrating this AI solution to identify patients with previously undetected coronary artery calcification, enabling early intervention and personalized preventive care pathways. The numerical CAC scoring and 'zero CAC' category in V2.0 provide enhanced granularity for risk stratification. It's particularly useful for patients undergoing chest CTs for other indications, as it can uncover incidental findings of cardiac risk without additional radiation or cost.
HealthCCSng is built for seamless integration into existing healthcare IT infrastructure. It connects with Picture Archiving and Communication Systems (PACS) and Electronic Medical Records (EMR) systems, ensuring that the AI-generated CAC assessments are readily accessible within the radiologist's workflow and for subsequent clinical review by other medical professionals. This integration streamlines the process of identifying and managing at-risk patients.
Details
| Category | Cardiology AI |
| Pricing | Not publicly available — Contact vendor for details |
| Deployment | Cloud-based, integrates with PACS and EMR systems |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Yes AI-estimated HealthCCSng V2.0 received 510(k) clearance (K241440) from the U.S. FDA on August 21, 2024. The original HealthCCSng also had 510(k) clearance (K210085). |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology |
What the Web Says
HealthCCSng, an AI-powered solution by Nanox.AI, is designed to detect and quantify coronary artery calcification (CAC) from routine chest CT scans, aiming to identify patients at risk of cardiovascular events. The software has received FDA 510(k) clearance and has been integrated into existing Picture Archiving and Communication Systems (PACS) and Electronic Medical Records (EMR) systems. Physicians and studies highlight its potential for early risk identification and preventive cardiac care.
Overall: PositiveStrengths
- Identifies previously undetected cardiovascular risks from routine CT scans.
- Aids in early risk identification and prevention of cardiac events.
- Integrates seamlessly with existing PACS and EMR systems.
- Provides automated numerical CAC scoring and customizable CAC category bounds.
- Helps bridge the divide between radiology and cardiology by providing a common assessment tool.
- FDA-cleared and CE marked.
Limitations
- No specific cons were found in the provided search results from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra regarding HealthCCSng itself.
- Some general negative sentiment exists around the company Nanox (NNOX) stock performance.
- General concerns about the legitimacy and review processes on platforms like Capterra and G2 were noted, but not specific to HealthCCSng.
Based on reviews from: Nanox.AI's HealthCCSng AI Solution Reveals ~60% of Patients in Study had Previously Undetected Risk of a Cardiovascular Event from Routine Chest CTs, accessdata.fda.gov, Medical Product Outsourcing, Stock Titan, Diagnostic Imaging
Last updated: 2026-07-18
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