AutoDensity
by Eos Imaging
· Based in France →
— AI-powered Bone Mineral Density estimation for orthopedic assessment
Contact vendor
Regulatory Status Disclosed
Overview
AutoDensity is an AI-driven post-processing software developed by EOS Imaging, part of the ATEC Spine Group, for orthopedic pre-surgical assessment applications. It is designed to estimate Bone Mineral Density (BMD) for L1-L4 from EOSedge dual-energy AP radiographs of the spine.
- What it does: AutoDensity provides an estimate of spine BMD from existing EOSedge dual-energy images. This opportunistic tool aids in BMD estimation within orthopedic surgical planning workflows.
- Who it is for: This software is intended for orthopedic applications, assisting spine surgeons and other healthcare professionals involved in orthopedic surgical planning. It is suitable for use with adult and pediatric patients aged 7 years and older.
- How it fits a clinical or practice workflow: AutoDensity integrates into the pre-surgical assessment workflow by utilizing images already acquired with the EOSedge system for other purposes. This allows for immediate assessment of bone density without requiring a separate DXA screening, though suspected low BMD should be confirmed by a DXA exam. The software runs in a cloud environment.
- Notable capabilities: AutoDensity generates bone mineral density information using dual-energy images from the EOSedge system. It computes BMD measurements from “aluminum” and “PMMA” images, which represent bone-equivalent and soft tissue-equivalent densities, respectively.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Estimates spine Bone Mineral Density (BMD)
- Utilizes EOSedge dual energy images
- Opportunistic tool for immediate bone density assessment
- Aids in orthopedic pre-surgical assessment
- Provides BMD information with equivalent radiation dose to concurrently acquired EOSedge images
- Not intended to replace DXA screening
- Runs in a cloud-environment
Use Cases
- Orthopedic pre-surgical assessment
- Spine Bone Mineral Density estimation
- Aiding surgical decisions
- Patient assessment in orthopedics
What Physicians Need to Know
Evidence Base
AutoDensity, a feature of the EOS imaging system, provides 3D bone density analysis and aids in surgical planning by generating patient-specific 3D models from low-dose X-rays. The broader EOS Insight platform, which leverages EOS imaging, utilizes AI-driven alignment assessment to provide crucial alignment measurements. ATEC's overall approach emphasizes evidence-based treatment recommendations and clinical distinction in spine care.
Clinical Validation Studies
The EOS system, which includes AutoDensity, offers clinical benefits by providing detailed 2D and 3D images, leading to better diagnostics and image accuracy for musculoskeletal conditions. It is used to assist doctors with the diagnosis and treatment of medical conditions of the spine, hips, and knees. The EOS Insight platform is designed to modernize surgery and improve patient outcomes. It provides clinical-grade accuracy for spinopelvic analysis.
Differential Diagnosis Support
While primarily a bone density analysis tool, AutoDensity contributes to differential diagnosis by providing precise 3D bone density data. The EOS system, which incorporates AutoDensity, enables physicians to make more informed diagnoses and create individualized treatment plans for musculoskeletal disorders by offering accurate 3D weight-bearing images. The AI-driven alignment assessment within EOS Insight further enhances understanding of spinal pathologies.
Clinical Workflow Integration
AutoDensity is seamlessly integrated into the EOS imaging system, directly supporting pre-operative planning by allowing surgeons to assess bone quality. The EOS Insight platform provides a synchronized and seamless experience, enabling access to data and surgical workflow from desktop or mobile devices. It integrates automated alignment and surgical planning capabilities onto the EOS platform and supports intraoperative reconciliation by importing planned alignment values.
Decision Audit Trail
The broader EOS Insight platform, built on the EOSedge foundation, is a data-informed peri-operative platform that enables patient trends and surgeon analytics. ATEC is populating a 'data universe' with objective, standardized images, which will ultimately position them to inform spine's first predictive care and build a 'living clinical research database.'
Physician Tip
Leverage AutoDensity's precise 3D bone density analysis for comprehensive pre-operative surgical planning, especially in complex spine cases. Utilize the low-dose imaging capabilities of the EOS system for patient safety, particularly for pediatric patients or those requiring frequent follow-up scans. Integrate the data and planning tools from the EOS Insight platform into your clinical workflow to enhance decision-making from pre-operative assessment through intra-operative reconciliation and post-operative review.
AutoDensity is a core feature of the EOS imaging system and is deeply integrated into ATEC's broader AlphaInformatiX Platform and EOS Insight. This integration facilitates a seamless workflow for 3D surgical planning, AI-driven alignment assessment, and the potential for patient-specific contoured rods and intraoperative reconciliation, accessible across desktop and mobile devices.
Details
| Category | Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing | Contact vendor |
| Deployment | Cloud-environment |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Yes AI-estimated AutoDensity is a Class II medical device (Product Code QIH) cleared by the FDA (K251078) on January 06, 2026, for estimating spine Bone Mineral Density (BMD) from EOSedge dual energy images for orthopedic pre-surgical assessment applications. |
| Integrations | |
| EHR | Not specified |
| Specialties | Orthopedics, Radiology |
What the Web Says
AutoDensity is part of ATEC Spine's EOS Insight platform, an AI-fueled system designed to enhance spine surgery through data-informed peri-operative planning and assessment. Physicians highlight its value in providing full-body X-rays with reduced radiation exposure, enabling a comprehensive understanding of the spine and compensatory mechanisms, which can lead to more effective patient approaches. The technology aims to improve surgical predictability and reproducibility by integrating informatics into the clinical workflow.
Overall: MixedStrengths
- Provides full-body X-rays with a fraction of the radiation exposure compared to traditional lumbar spine X-rays.
- Enables a global assessment of spinal alignment, helping surgeons understand the entire spine's behavior and compensatory mechanisms.
- Offers AI-driven customized surgical plans and precise alignment measurements.
- Increases surgeon confidence in the operating room by allowing comparison of progress to the pre-operative plan.
- Integrates seamlessly with other enabling technologies and is a platform ready for AI applications.
- Aids in identifying underlying issues beyond the immediate problem area, leading to more comprehensive treatment.
Limitations
- ATEC Spine, the parent company, has faced some employee complaints regarding toxic work environments, poor management, and low pay in certain instances.
- There have been instances of product-related lawsuits, such as a case involving a fractured pedicle screw from an Alphatec spinal fixation system.
- ATEC's capital equipment sales, like EOS, can be lumpy, impacting quarterly revenue recognition.
- Some Reddit discussions about spinal decompression in general express skepticism about its scientific evidence and potential for scams, though this is not directly tied to AutoDensity.
- The company has faced patent infringement claims regarding its spinal surgery devices.
Based on reviews from: YouTube (ATEC Spine), Reddit, Comparably, Indeed.com, ATEC Spine (Press Release), SPINEMarketGroup, SimplyHired, Capterra, FDA.gov, Orthopedics This Week
Last updated: 2026-07-18
Ratings & Reviews
No reviews yet. Be the first to review this tool!
Rate AutoDensity
Press & Coverage
ATEC Spine (via EOS imaging product documentation)
AutoDensity 1.3 Instructions for Use - revD - US
This document provides the instructions for use for AutoDensity 1.3, a post-processing software intended to estimate spine Bone Mineral Density (BMD) from EOSedge dual energy images for orthopedic pre-surgical assessment applications.
2025-11
TradingView News
Alphatec Holdings, Inc. SEC 10-K Report
The 2025 SEC 10-K report for Alphatec Holdings, Inc. mentions the introduction of AutoDensity for bone density assessment as an additional capability within the EOS Insight platform.
2026-02
ATEC Spine (Shareholder Letter)
Fellow Shareholders, 2025 marked a defining milestone for ATEC, characterized by profitable, revenue-growth leadership and meani
This shareholder letter highlights that in 2025, the EOS Insight platform introduced AutoDensity, an EOS-based bone density assessment driven by EOS Edge imaging and accessed through the EOS Insight portal.
2024-02
Unknown (Healthcare Provider Blog/News)
Introducing Our New EOS Imaging System: What It Means for Scoliosis Patients
A Fairfax, Virginia office upgraded to a newer EOS imaging system, which enhances imaging for scoliosis patients by providing lower-dose, full-body, weight-bearing images and supporting more informed treatment decisions.
2026-06
Ortho Spine News
EOS imaging Announces the Upcoming Launch of EOSedgeu2122, Its New Generation Imaging System
EOS imaging announced the launch of its new generation imaging system, EOSedge, in Europe, Canada, and Australia, featuring technological innovations for low-dose radiation and high image resolution for musculoskeletal imaging.
2019-11
EOS imaging
EOS imaging Launches EOS 3D Service, a 3D Modeling offering for Customers Worldwide
EOS imaging launched a new online service, EOS 3D Service, allowing hospitals worldwide to outsource 3D modeling from EOS stereo-radiographic images for spine, hip, and knee, aiding in therapeutic decisions and surgical planning.
2015-05
Orthopedic Design & Technology (ODT)
EOS imaging Buys Rights to Scoliosis Progression Prognosis Software Technology
EOS imaging acquired exclusive worldwide rights to a technology for predicting adolescent scoliosis progression using 3D and 2D clinical parameters from EOS systems, with a multi-center clinical study underway.
unknown
EOS imaging
News - EOS imaging
This news archive from EOS imaging includes announcements such as EOS imaging joining the ATEC family in June 2021 and various installations of the EOSedge system across North America, Australia, Germany, and the United States.
2020-03
Videos
Product demos, reviews, and walkthroughs for AutoDensity.
Embroidery digitizing for designs
Frequently Asked Questions
AutoDensity is a fast, stand-alone software program compatible with Windows or Linux that automatically identifies the breast area in a mammogram and classifies breast density, similar to the Cumulus method. Its primary clinical application is to provide an efficient and validated measure of breast density, which can help identify women at higher risk of breast cancer and those who might benefit from alternative screening strategies beyond mammography.
The provided research indicates AutoDensity was developed and validated in research settings, particularly in Australia, and is undergoing evaluations with clinical and population health research groups. There is no explicit mention of specific regulatory approvals like FDA or CE Mark for AutoDensity in the available information. For patient data privacy, while AI in healthcare generally emphasizes adherence to regulations like HIPAA and GDPR, specific details for AutoDensity are not provided.
Traditional methods for breast density assessment include visual assessment by radiologists and semi-automated methods like Cumulus, which are labor-intensive and can be subjective. Other automated software programs, such as Hologic's Quantra and Matakina Technology's Volpara, also exist. AutoDensity offers a fully automated, fast, and reproducible method for measuring breast density from digitized film mammograms, performing similarly to Cumulus in predicting breast cancer risk and screening outcomes.
While specific pricing for AutoDensity is not detailed, the cost of implementing AI in healthcare varies significantly based on the use case, data readiness, and integration needs. Medical imaging AI solutions, such as those for mammography analysis, can range from $150,000 to $500,000, encompassing development, training, regulatory pathway support, and integration with existing PACS systems. Healthcare organizations also need to factor in continuous expenses for retraining personnel, maintaining compliance standards, and infrastructure maintenance.
One limitation noted in research is that automated breast segmentation by AutoDensity failed for 4% of mammograms in a dataset, particularly when breast images overlapped with background artifacts or image borders. Although AutoDensity performed similarly to Cumulus in predicting breast cancer risk, the correlation between their direct measures of breast density was modest (r = 0.63), indicating some discrepancies in density values.
AutoDensity is designed to analyze digital and digitized mammogram images from various mammography machines and works across different image formats, which supports standardized assessment across clinics and for older films. However, its automated breast segmentation had a 4% failure rate in one study, which was more likely with larger breasts or when images overlapped with artifacts, suggesting potential sensitivity to certain image quality issues and breast characteristics.
Suggest an Edit →
| Last Verified: 2026-04-18 | First Added: 2026-04-18