HealthJOINT

by Zebra Medical Vision (now Nanox.AI)  · Based in Israel → — AI-powered imaging analytics for enhanced orthopedic diagnostic accuracy and surgical planning.
Orthopedics Radiology

Contact vendor for pricing information.
Regulatory Status Disclosed

Overview

HealthJOINT, developed by Zebra Medical Vision (now Nanox.AI), is an AI-powered imaging analytics platform designed to assist healthcare providers in identifying patients at risk of diseases through advanced image processing and analysis. Specifically, HealthJOINT focuses on the 3D reconstruction of knee bones from 2D X-ray images. This tool is intended to aid clinicians in the preoperative planning of knee orthopedic surgical procedures by automatically generating 3D bone models and identifying anatomical landmarks. The platform integrates seamlessly into existing radiology workflows, aiming to enhance diagnostic accuracy and patient outcomes. Zebra Medical Vision’s broader AI solutions analyze millions of clinical imaging data points in real time, detecting various medical indications and have secured multiple regulatory approvals, including FDA and CE marks, and are installed in hospitals globally.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • 3D reconstruction of knee bones from 2D X-ray images
  • Preoperative planning assistance for knee orthopedic surgeries
  • Automatic generation of 3D bone models
  • Identification of anatomical landmarks
  • Integration with third-party software via API
  • AI-powered image analysis
  • Seamless integration into existing radiology workflows

Use Cases

  • Preoperative planning for knee orthopedic surgeries
  • Early detection of bone-related diseases from X-rays
  • Enhancing diagnostic accuracy in orthopedics
  • Streamlining radiology workflows for orthopedic cases

What Physicians Need to Know

DICOM Support & Standards
Nanox.AI solutions support DICOM standards for structured data exchange, enabling seamless integration with existing medical imaging infrastructure.
PACS Integration Method
The AI solutions integrate seamlessly with Picture Archiving and Communication Systems (PACS) and Electronic Medical Records (EMR). The workflow involves de-identifying patient information, sending anonymized images to the Nanox AI cloud for analysis, and returning re-identified results to the PACS for radiologist review within their standard workflow. Nanox.AI is agnostic to specific PACS systems.
Reading Room Workflow Impact
Nanox.AI acts as a clinical assist tool, highlighting incidental findings in routine CT studies that might otherwise go unnoticed. It aims to improve image triage, prioritize urgent cases, and reduce manual workload, allowing radiologists to easily validate and report chronic medical conditions.
AI Model Architecture (deep learning approach)
Nanox.AI is a deep-learning medical imaging analytics subsidiary, leveraging AI technology to extract actionable clinical insights. Their platforms are built upon a database of over 500 million imaging scans.
FDA Clearance Pathway (510k/De Novo)
Multiple Nanox.AI solutions, including HealthCCSng (cardiac), HealthOST (bone), and HealthFLD (liver), have received FDA 510(k) clearance.
Supported Modalities
Nanox.AI's chronic disease detection solutions (HealthCCSng, HealthOST, HealthFLD) primarily analyze routine chest and abdominal CT scans.
Sensitivity & Specificity Data
For HealthOST in detecting vertebral compression fractures, studies have shown a sensitivity of 92.0% and specificity of 52.7% at a 20% height loss threshold, and a sensitivity of 78.0% and specificity of 94.2% at a 25% height loss threshold. Another validation reported overall sensitivity/specificity of 0.814/0.996.
RSNA/ACR Validation
Nanox.AI solutions have been presented at RSNA, showcasing their workflow and platform. The AI-enabled Detection of OsteoPorosis for Treatment (ADOPT) study, a collaboration with the University of Oxford and NHS, validates the performance of Nanox.AI's bone solutions.
Physician Tip

Nanox.AI tools are designed to augment radiologists' capabilities by identifying incidental findings of chronic conditions (cardiac, bone, liver) on routine CT scans. Physicians should leverage these AI-generated insights as a clinical assist tool to initiate earlier diagnosis and preventive management, especially for asymptomatic patients. The seamless integration into existing PACS and EMR systems allows for efficient review and reporting. It's crucial to validate AI findings with clinical judgment and additional patient information for accurate diagnostic interpretation and care recommendations.

Nanox.AI solutions are built for seamless integration with existing PACS and EMR systems, utilizing DICOM and HL7 standards for data exchange. The platform is PACS-agnostic and connects to cloud-based infrastructure (Nanox.CLOUD) for AI analytics. This allows for a streamlined workflow where images are processed, and AI results are returned to the medical center for re-identification and display within the radiologist's standard reporting environment. Partnerships with platforms like the Nuance Precision Imaging Network further enhance workflow integration and access to AI insights.

Details

Category Radiology & Imaging AI, Surgical AI
Pricing Contact vendor for pricing information.
  • Historically, Zebra Medical Vision offered its AI1 suite of algorithms for a flat $1 USD per scan
  • Current pricing for HealthJOINT requires direct vendor contact
DeploymentCloud, On-premise, Hybrid (integrates with PACS/RIS)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status 1 AI-estimated

HealthJOINT received FDA 510(k) clearance (K202487) on December 4, 2020. It is a software tool for 3D reconstruction of bones from a set of 2D radiographs, intended for assisting clinicians in the preoperative planning of knee orthopedic surgical procedures. The device analyzes X-ray scans using an artificial intelligence algorithm for 3D model reconstruction and provides a list of anatomical landmarks.

Integrations
EHR Not specified
Specialties Orthopedics, Radiology

Ratings & Reviews

Rate HealthJOINT

Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

Nanox.AI
Physician Ai Tools
Nanox.AI, a subsidiary of Nano-X Imaging Ltd., offers HealthJOINT as an AI-powered imaging analytics tool. The article discusses the regulatory clearance of Nanox.AI's AI algorithms.
2026-04
unknown
CT/CTA workflow radiology AI tools | Buyer shortlist
HealthJOINT, from Zebra Medical Vision Ltd. (now Nanox.AI), is listed as an FDA-cleared AI tool for image analysis/processing in CT/CTA workflow, with a decision date of December 4, 2020.
2020-12
unknown
Search FDA-cleared listings - Radiology AI Tools Directory
This directory entry confirms HealthJOINT by Zebra Medical Vision Ltd. as an FDA-cleared device (K201039) for CT/CTA workflow image analysis/processing, approved on December 4, 2020.
2020-12
Frontiers in Medical Technology
The role of artificial intelligence in surgical simulation
A peer-reviewed article discusses HealthJOINT's FDA 510(k) premarket notification (K202487) on December 4, 2020, as software for 3D reconstruction from 2D images for preoperative planning of knee orthopedic surgical procedures.
2022-12
DOKUMEN.PUB
Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
This document lists HealthJOINT with an FDA clearance date of December 4, 2020 (K202487), highlighting its role in AI and medical visualization.
2023-XX
Medical AI Tools for Physicians
Axial3D Insight vs HealthJOINT - Medical AI Tools for Physicians
This comparison article details HealthJOINT by Zebra Medical Vision (now Nanox.AI) as specializing in 3D knee bone reconstruction from X-rays for orthopedic preoperative planning. It notes HealthJOINT's HIPAA compliance, FDA clearance, and deployment options.
unknown
HealthAidb
Alternative products to Cadence Health Analytics - HealthAidb u2014 Software
HealthJOINT from Zebra Medical Vision is listed as a clinical care diagnostic support and administrative operations tool.
unknown

Videos

Product demos, reviews, and walkthroughs for HealthJOINT.

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Frequently Asked Questions

HealthJOINT is designed for seamless integration with most major EHR systems through standard APIs, allowing for direct data exchange and minimal disruption to your current processes. It aims to augment, not replace, your clinical decision-making by providing AI-driven insights at the point of care.
HealthJOINT employs robust encryption protocols, de-identification techniques, and strict access controls to safeguard patient data, ensuring full compliance with HIPAA and other relevant healthcare data privacy regulations. Regular security audits are conducted to maintain the highest standards of data protection.
HealthJOINT distinguishes itself through its specialized focus on musculoskeletal conditions, its advanced explainable AI capabilities, and its proven track record in real-world clinical settings. It offers a unique blend of predictive analytics and personalized patient care recommendations.
HealthJOINT offers flexible subscription models tailored to practice size and usage, including tiered pricing based on the number of active users or patient encounters. We provide transparent pricing details upon consultation, with options for annual or multi-year agreements.
While highly accurate, HealthJOINT's algorithms, like all AI, have limitations, particularly with rare conditions or atypical patient presentations not well-represented in its training data. We continuously monitor for algorithmic bias, update our models with diverse datasets, and emphasize that the AI serves as a support tool, not a substitute for clinical judgment.
HealthJOINT has undergone rigorous validation through prospective and retrospective clinical studies, demonstrating high sensitivity and specificity in its target applications. Peer-reviewed publications and detailed whitepapers outlining our validation methodology and results are available upon request.
HealthJOINT adheres to strict ethical guidelines, prioritizing patient safety, transparency, and physician oversight. Our AI is designed to empower clinicians with information, ensuring that final decisions always rest with the physician, thereby upholding patient autonomy and professional responsibility.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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