AI Algorithm Training Dataset; Retrospective analysis of clinical imaging data; Follow-up/Duration: 2007-2023; Study Period: 2007-2023
Patients undergoing orthopedic imaging (scoliosis, postural balance, degenerative disease, and spine surgery implant status); Sample Size: 10,376 X-ray images and 5,188 3D reconstructions; Number of Sites: Multiple sites
Not applicable for this study
Algorithm training for landmark placement and clinical parameter computation
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Anatomic landmark placement
Machine learning-based algorithm
Median error ≤ 3 mm; 3rd Quartile ≤ 5 mm
Met acceptance criteria
10,376 X-ray images and 5,188 corresponding 3D reconstructions collected from 2007-2023
—
361 patients
—
Indications for Use
VEA Align: This cloud-based software is intended for orthopedic applications in both pediatric and adult populations. 2D X-ray images acquired in EOS imaging’s imaging systems is the foundation and resource to display the interactive landmarks overlayed on the frontal and lateral images. These landmarks are available for users to assess patient-specific global alignment. For additional assessment, alignment parameters compared to published normative values may be available. This product serves as a tool to aid in the analysis of spinal deformities and degenerative diseases, and lower limb alignment disorders and deformities through precise angle and length measurements. It is suitable for use with adult and pediatric patients aged 7 years and older. Clinical judgment and experience are required to properly use the software. spineEOS: spineEOS is indicated for assisting healthcare professionals with preoperative planning of spine surgeries. The product provides access to EOS images with associated 3D datasets and measurements. spineEOS includes surgical planning tools that enable users to define a patient specific surgical strategy.
Device Story
VEA Align and spineEOS are cloud-based software tools for orthopedic assessment and surgical planning. VEA Align takes biplanar 2D X-ray images from EOS/EOSedge systems as input; uses a machine learning algorithm to place initial anatomic landmarks; allows user validation/adjustment of landmarks; calculates clinical parameters (angles/lengths) based on landmarks; and outputs alignment data. spineEOS takes EOS images, 3D datasets, and VEA Align landmarks as input; provides surgical planning tools for defining strategies, rod curvature, and implant placement; and outputs surgical plans. Used by surgeons, physician assistants, and 3D services staff in clinical settings. Output aids clinical decision-making for spinal/lower limb deformities and surgical strategy. Benefits include precise preoperative planning and alignment assessment.
Clinical Evidence
Bench testing only. AI algorithm validation used 361 patients (independent of training set) compared against ground truth 3D reconstructions from sterEOS. Acceptance criteria: median error ≤ 3 mm, 3rd quartile ≤ 5 mm. Subgroup analyses performed for demographics, clinical metrics, and image acquisition parameters. Usability testing and validation of clinical parameter reproducibility/accuracy were conducted.
Technological Characteristics
Cloud-based software; Windows/Mac compatible. Uses machine learning-based algorithm for landmark placement. Inputs: biplanar 2D X-rays from EOS/EOSedge systems. Outputs: clinical parameters, 3D models, surgical plans. Connectivity: Cloud-hosted, requires high-speed internet. Software environment: Web browser-based. No hardware components.
Indications for Use
Indicated for orthopedic applications in pediatric and adult patients aged 7 years and older. VEA Align is for global alignment assessment and analysis of spinal deformities, degenerative diseases, and lower limb alignment disorders. spineEOS is for preoperative planning of primary and revision spine surgeries, including degenerative spine, adult spinal deformity, and Adolescent Idiopathic Scoliosis (AIS). Contraindicated for cases with severe congenital vertebral deformities (e.g., hemivertebrae, spina bifida) and supernumerary/missing vertebrae.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
{0}
FDA U.S. FOOD & DRUG ADMINISTRATION
August 15, 2025
EOS imaging
% Mathilde Masurel
Design Quality and Regulatory Affairs Specialist
32 rue blanche
PARIS, 75009
FRANCE
Re: K251747
Trade/Device Name: VEA Align; spineEOS
Regulation Number: 21 CFR 892.2050
Regulation Name: Medical Image Management And Processing System
Regulatory Class: Class II
Product Code: QIH, LLZ
Dated: June 6, 2025
Received: June 6, 2025
Dear Mathilde Masurel:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K251747 - Mathilde Masurel
Page 2
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-
{2}
K251747 - Mathilde Masurel
Page 3
assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,

Lu Jiang, Ph.D.
Assistant Director
Diagnostic X-Ray Systems Team
DHT8B: Division of Radiological Imaging Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
{3}
FORM FDA 3881 (8/23)
Page 1 of 1
PSC Publishing Services (301) 443-6740
EF
| DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use | Form Approved: OMB No. 0910-0120 Expiration Date: 07/31/2026 See PRA Statement below. |
| --- | --- |
| 510(k) Number (if known) K251747 | |
| Device Name VEA Align; spineEOS | |
| Indications for Use (Describe) VEA Align: This cloud-based software is intended for orthopedic applications in both pediatric and adult populations. 2D X-ray images acquired in EOS imaging’s imaging systems is the foundation and resource to display the interactive landmarks overlayed on the frontal and lateral images. These landmarks are available for users to assess patient-specific global alignment. For additional assessment, alignment parameters compared to published normative values may be available. This product serves as a tool to aid in the analysis of spinal deformities and degenerative diseases, and lower limb alignment disorders and deformities through precise angle and length measurements. It is suitable for use with adult and pediatric patients aged 7 years and older. Clinical judgment and experience are required to properly use the software. spineEOS: spineEOS is indicated for assisting healthcare professionals with preoperative planning of spine surgeries. The product provides access to EOS images with associated 3D datasets and measurements. spineEOS includes surgical planning tools that enable users to define a patient specific surgical strategy. | |
| Type of Use (Select one or both, as applicable) ☑ Prescription Use (Part 21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) | |
| CONTINUE ON A SEPARATE PAGE IF NEEDED. | |
| This section applies only to requirements of the Paperwork Reduction Act of 1995. *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.* | |
| The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to: Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov | |
| "An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number." | |
{4}
K251747
EOS imaging
Traditional 510(k) Premarket Notification
K251747 - VEA Align / spineEOS
This 510(k) summary of safety and effectiveness is being submitted in accordance with the requirements of 21 CFR 807.92.
# 1 SUBMITTER
EOS imaging
32 rue blanche
Paris, France 75009
Phone: +33 1 55 25 60 60
Fax: +33 1 55 25 60 61
Contact Person: Mathilde MASUREL
Design Quality and Regulatory Affairs Specialist
EOS imaging
Contact Phone: +33 1 55 25 60 60
Date Summary Prepared: August 15, 2025
# 2 DEVICES
## 2.1 VEA Align
Trade Name: VEA Align
Common or Usual Name: Cloud-based software
Classification Name: Medical image management and processing system (21 C.F.R. 892.2050)
Regulatory Class: Class II
Product Code: QIH - Automated Radiological Image Processing Software
## 2.2 spineEOS
Trade Name: spineEOS
Common or Usual Name: Cloud-based software
Classification Name: Medical image management and processing system (21 C.F.R. 892.2050)
Regulatory Class: Class II
Product Code: LLZ - System, image processing, radiological
# 3 LEGALLY MARKETED PREDICATE DEVICE
| 510(k) | Product Name | Clearance Date |
| --- | --- | --- |
| K240582 | VEA Align; spineEOS | June 2024 |
Page 2 of 14
{5}
EOS imaging
a a a a a a a a a a a a a a a a a
Traditional 510(k) Premarket Notification K251747 - VEA Align / spineEOS
# 4 DEVICE DESCRIPTION
## 4.1 VEA Align
VEA Align is a software indicated for assisting healthcare professionals with global alignment assessment through clinical parameters computation.
The product uses biplanar 2D X-ray images, exclusively generated by EOS imaging's EOS (K152788) and EOSedge (K202394) systems and generates an initial placement of the patient anatomic landmarks on the images using a machine learning-based algorithm. The user may adjust the landmarks to align with the patient's anatomy. Landmark locations require user validation. The clinical parameters communicated to the user are inferred from the landmarks and are recalculated as the user adjusts the landmarks. 3D datasets may be exported for use in spineEOS for surgical planning.
The product is hosted on a cloud infrastructure and relies on EOS Insight for support capabilities, such as user access control and data access. 2D X-ray image transmissions from healthcare institutions to the cloud are managed by EOS Insight. EOS Insight is classified as non-device Clinical Decision Support (CDS) software.
## 4.2 spineEOS
spineEOS is indicated for assisting healthcare professionals with preoperative planning of spine surgeries. spineEOS provides access to EOS images with associated 3D datasets and measurements. spineEOS includes surgical planning tools that enable users to define a patient specific surgical strategy.
# 5 INDICATIONS FOR USE
## 5.1 VEA Align
This cloud-based software is intended for orthopedic applications in both pediatric and adult populations.
2D X-ray images acquired in EOS imaging's imaging systems is the foundation and resource to display the interactive landmarks overlayed on the frontal and lateral images. These landmarks are available for users to assess patient-specific global alignment.
For additional assessment, alignment parameters compared to published normative values may be available.
This product serves as a tool to aid in the analysis of spinal deformities and degenerative diseases, and lower limb alignment disorders and deformities through precise angle and length measurements. It is suitable for use with adult and pediatric patients aged 7 years and older.
Clinical judgment and experience are required to properly use the software.
Page 3 of 14
{6}
EOS Imaging an ODO COMPANY
Traditional 510(k) Premarket Notification
K251747 - VEA Align / spineEOS
## 5.2 spineEOS
spineEOS is indicated for assisting healthcare professionals with preoperative planning of spine surgeries. The product provides access to EOS images with associated 3D datasets and measurements. spineEOS includes surgical planning tools that enable users to define a patient specific surgical strategy.
## 6 TECHNOLOGICAL COMPARISON TO PREDICATES
The subject devices were compared to their respective predicate devices in intended use, indications for use, design, function and technology and it was demonstrated that they are substantially equivalent. Any technological differences within this bundled 510(k), between the subject devices and the predicate devices, do not impact substantial equivalence, or safety and effectiveness.
Page 4 of 14
{7}
EOS imaging
AA-ADG COMPANY
Traditional 510(k) Premarket Notification
K240582 - VEA Align / spineEOS
Table 1: Summary of Predicate and Subject VEA Align Device Characteristics to Demonstrate Substantial Equivalence
| Characteristic | Primary Predicate VEA Align (K240582) | Subject VEA Align | Substantially Equivalent? |
| --- | --- | --- | --- |
| Indications for Use | This cloud-based software is intended for orthopedic applications in both pediatric and adult populations.
2D X-ray images acquired in EOS imaging's imaging systems is the foundation and resource to display the interactive landmarks overlayed on the frontal and lateral images. These landmarks are available for users to assess patient-specific global alignment.
For additional assessment, alignment parameters compared to published normative values may be available.
This product serves as a tool to aid in the analysis of spinal deformities, degenerative diseases, lower limb alignment disorders, and deformities through precise angle and length measurements. It is suitable for use with adult and pediatric patients aged 7 years and older.
Clinical judgment and experience are required to properly use the software. | This cloud-based software is intended for orthopedic applications in both pediatric and adult populations.
2D X-ray images acquired in EOS imaging's imaging systems is the foundation and resource to display the interactive landmarks overlayed on the frontal and lateral images. These landmarks are available for users to assess patient-specific global alignment.
For additional assessment, alignment parameters compared to published normative values may be available.
This product serves as a tool to aid in the analysis of spinal deformities and degenerative diseases, and lower limb alignment disorders and deformities through precise angle and length measurements. It is suitable for use with adult and pediatric patients aged 7 years and older.
Clinical judgment and experience are required to properly use the software. | YES |
| Contraindications | VEA Align is contraindicated for cases with vertebrae with severe congenital deformities (e.g., hemivertebrae, spina bifida, etc.) and supernumerary/missing vertebrae. | VEA Align is contraindicated for cases with vertebrae with severe congenital deformities (e.g., hemivertebrae, spina bifida, etc.). | Similar
The change to the contraindications simply reflects an enhancement of the software flexibility without affecting its core design, safety, or intended use. |
| Regulatory Class/Code | Class II
QIH
(21 CFR 892.2050) | Class II
QIH
(21 CFR 892.2050) | YES |
Page 5 of 14
{8}
EOS imaging
XR-DESI COMPANY
Traditional 510(k) Premarket Notification
K240582 - VEA Align / spineEOS
| Characteristic | Primary Predicate VEA Align (K240582) | Subject VEA Align | Substantially Equivalent? |
| --- | --- | --- | --- |
| Device Classification Name | Automated Radiological Image Processing Software | Automated Radiological Image Processing Software | YES |
| Operating System | Windows + MAC | Windows + MAC | YES |
| User Population | VEA Align Alignment Assessment mode is designed for surgeons and clinical staff, such as physician assistants, who have been trained to use the application.
VEA Align 3D mode is designed for 3D Services team members. | VEA Align Alignment Assessment mode is designed for surgeons and clinical staff, such as physician assistants, who have been trained to use the application.
VEA Align 3D mode is designed for 3D Services team members. | YES |
| Target Population | The device is indicated only for patients 7 years and older. | The device is indicated only for patients 7 years and older. | YES |
| Software Functionalities / Modalities | Global alignment assessments | Global alignment assessments | YES |
| | Includes landmarks associated with vertebral endplates needed to calculate coronal and sagittal clinical parameters. These landmarks are adjustable by the user. | Includes landmarks associated with vertebral endplates needed to calculate coronal and sagittal clinical parameters. These landmarks are adjustable by the user. | YES |
| | Includes landmarks associated with the pelvis and lower limbs needed to calculate coronal and sagittal clinical parameters. These landmarks are adjustable by the user. | Includes landmarks associated with the pelvis and lower limbs needed to calculate coronal and sagittal clinical parameters. These landmarks are adjustable by the user. | YES |
| | Provides normative values used to assess patients' global alignment | Provides normative values used to assess patients' global alignment | YES |
| | Provides color-coded clinical parameters to display variance from the defined normative values | Provides color-coded clinical parameters to display variance from the defined normative values | YES |
| Image Manipulation Functions | 2D images display and basic manipulation (zoom, panning) | 2D images display and basic manipulation (zoom, panning) | YES |
Page 6 of 14
{9}
EOS imaging
AN AERO COMPANY
Traditional 510(k) Premarket Notification
K240582 - VEA Align / spineEOS
| Characteristic | Primary Predicate VEA Align (K240582) | Subject VEA Align | Substantially Equivalent? |
| --- | --- | --- | --- |
| Measurement Functions | Distances and Angles | Distances and Angles | YES |
| Algorithms | Patient-specific clinical parameters and calculations based on published literature. | Patient-specific clinical parameters and calculations based on published literature. | YES |
| 3D Reconstruction Model | Alignment mode: The 3D model supports the initial placement of the patient anatomic landmarks on the images using a machine learning-based algorithm. It is not displayed to the user and as such it is not part of the device outputs.
3D mode: The 3D reconstruction model is deformed manually by the user through control points up to matching accurately the X-ray contours. | Alignment mode: The 3D model supports the initial placement of the patient anatomic landmarks on the images using a machine learning-based algorithm. It is not displayed to the user and as such it is not part of the device outputs.
3D mode: The 3D reconstruction model is deformed manually by the user through control points up to matching accurately the X-ray contours. | YES |
| User Interface | Computer | Computer | YES |
| Obtaining an image | Transferred from other devices | Transferred from other devices | YES |
| Software Environment | Cloud-based software | Cloud-based software | YES |
| Human Intervention for interpretation and manipulation of images | Required | Required | YES |
| Control of life-saving devices | None | None | YES |
Page 7 of 14
{10}
EOS imaging
AA-ADG COMPANY
Traditional 510(k) Premarket Notification
K240582 - VEA Align / spineEOS
Table 2: Summary of Predicate and Subject spineEOS Device Characteristics to Demonstrate Substantial Equivalence
| Characteristic | Primary Predicate
spineEOS (K240582) | Subject Device
spineEOS | Substantially Equivalent? |
| --- | --- | --- | --- |
| Indications for Use | spineEOS is indicated for assisting healthcare professionals with preoperative planning of spine surgeries. The product provides access to EOS images with associated 3D datasets and measurements. spineEOS includes surgical planning tools that enable users to define a patient specific surgical strategy. | spineEOS is indicated for assisting healthcare professionals with preoperative planning of spine surgeries. The product provides access to EOS images with associated 3D datasets and measurements. spineEOS includes surgical planning tools that enable users to define a patient specific surgical strategy. | YES |
| Contraindications | The surgical planning application is contraindicated for cases with vertebrae with severe congenital deformities (e.g., hemivertebrae, spina bifida, etc.) and supernumerary/missing vertebrae. | The surgical planning application is contraindicated for cases with vertebrae with severe congenital deformities (e.g., hemivertebrae, spina bifida, etc.) and supernumerary/missing vertebrae. | YES |
| Regulatory Class/Code | Class II
LLZ
(21 CFR 892.2050) | Class II
LLZ
(21 CFR 892.2050) | YES |
| Device Classification Name | System, image processing, radiological | System, image processing, radiological | YES |
| User Population | The surgical planning application can only be used by a trained user including:
• Spine surgeons to define and validate the surgical plan.
• EOS staff and implant distributors to define and save the optional pre-planning. | The surgical planning application can only be used by a trained user including:
• Spine surgeons to define and validate the surgical plan.
• EOS staff and implant distributors to define and save the optional pre-planning. | YES |
| Target Population | The product is recommended in the preoperative planning of primary and revision spine surgeries for:
• Degenerative spine and adult spinal deformity.
• Adolescent Idiopathic Scoliosis (AIS) patients. | The product is recommended in the preoperative planning of primary and revision spine surgeries for:
• Degenerative spine and adult spinal deformity.
• Adolescent Idiopathic Scoliosis (AIS) patients. | YES |
| Hardware and Software Requirement | Web Browsers: | Web Browsers: | Similar
The modified spineEOS considers the last version of the |
Page 8 of 14
{11}
EOS imaging
AN AERO COMPANY
Traditional 510(k) Premarket Notification
K240582 - VEA Align / spineEOS
| Characteristic | Primary Predicate spineEOS (K240582) | Subject Device spineEOS | Substantially Equivalent? |
| --- | --- | --- | --- |
| | • With Windows 10 or 11: Google Chrome in version 121 or higher, and Edge in version 121 or higher.
• With Mac OS Monterey or Ventura: Google Chrome in version 121 or higher.
**PC Configuration:**
A stable high speed internet connection is required: DSL 100Mb/s connection or higher, Wi-Fi or Ethernet.
**Screen Resolution:**
The minimum screen resolution ensuring full display of the interface is 1366 x 768. | • With Windows 10 or 11: Google Chrome in version 130 or higher, and Edge in version 130 or higher.
• With Mac OS 15 Sequoia: Google Chrome in version 130 or higher.
**PC Configuration:**
A stable high speed internet connection is required: DSL 100Mb/s connection or higher, Wi-Fi or Ethernet.
**Screen Resolution:**
The minimum screen resolution ensuring full display of the interface is 1366 x 768. | compatible web browsers and Mac Operating System. |
| Input Data | Patient’s information
X-rays images
3D landmarks of the spine generated from VEA Align | Patient’s information
X-rays images
3D landmarks of the spine generated from VEA Align | YES |
| Product Workflow | 3D spine reconstruction confirmation: allow users to accept the 3D landmark input data or reject the 3D landmark input data and provide feedback on corrective adjustments.
**Preoperative:** allow user to consult the preoperative state of the patient
**Planning:** allow user to define patient specific surgical strategy
**Rod:** allow user to define the design of rods | 3D spine and sacrum model reconstruction confirmation: allow users to accept the 3D landmark input data or reject the 3D landmark input data and provide feedback on corrective adjustments.
**Preoperative:** allow user to consult the preoperative state of the patient
**Planning:** allow user to define patient specific surgical strategy
**Rod:** allow user to define the design of rods
The product includes two workflows according to the patient’s age.
• Pediatric workflow, for patient under 18 years old: The user has access to the 3D spine reconstruction confirmation and the Preoperative steps | Similar
The workflow steps are identical compared to the predicate. The pediatric workflow prevents the user to have access to the planning and rod steps.
However, the user still has access to the 3D spine reconstruction confirmation and the preoperative steps, with all the image manipulation functions available in these steps. |
Page 9 of 14
{12}
EOS imaging
AN AERO COMPANY
Traditional 510(k) Premarket Notification
K240582 - VEA Align / spineEOS
| Characteristic | Primary Predicate spineEOS (K240582) | Subject Device spineEOS | Substantially Equivalent? |
| --- | --- | --- | --- |
| | | • Adult workflow, for patient above 18 years old: The user has access to all the steps described above | |
| Tools Available for Planning | • Segmental Alignment
• Interbody Implant
• Osteotomy
• Spondylolisthesis
• Rod Curvature Management (From T1 to S1) | • Segmental Alignment
• Interbody Implant
• Osteotomy
• Spondylolisthesis
• Rod Curvature Management (From T1 to S2) | Similar
Modified spineEOS allows the user to design a patient-specific rod until S2 vertebrae based on the landmarks generated by VEA Align. |
| Software Functionalities / Modalities | Obtains an image and 3D model transferred from other devices. | Obtains an image and 3D model transferred from other devices. | YES |
| | Provides normative values used to follow the impact of the planning on the patient alignment. | Provides normative values used to follow the impact of the planning on the patient alignment. | YES |
| | Provides color-coded clinical parameters to display variance from the defined normative values. | Provides color-coded clinical parameters to display variance from the defined normative values. | YES |
| | Requires human intervention for interpretation and manipulation of images. | Requires human intervention for interpretation and manipulation of images. | YES |
| Image Manipulation Functions | 2D images and 3D spine display and basic manipulation (zoom, panning, angles measurements, plumbline, and possibility to add comments on the image). | 2D images and 3D spine display and basic manipulation (zoom, panning, angles measurements, plumbline, and possibility to add comments on the image). | YES |
| Measurement Functions | Distances and Angles | Distances and Angles | YES. |
| User Interface | Computer | Computer | YES |
| Software Environment | Cloud-based software | Cloud-based software | YES |
| Clinical Parameters Computation | • Pelvic Tilt (PT)
• Sacral Slope (SS)
• Pelvic Incidence (PI)
• Pelvic Obliquity (PO)
• Sagittal Vertical Axis (SVA)
• C7-CSL
• PI-LL
• T1 Pelvic Angle (TPA) | • Pelvic Tilt (PT)
• Sacral Slope (SS)
• Pelvic Incidence (PI)
• Pelvic Obliquity (PO)
• Sagittal Vertical Axis (SVA)
• C7-CSL
• PI-LL
• T1 Pelvic Angle (TPA) | Similar
Except for the addition of L1PA, T4PA, the axial rotation, disc height and disc segmental lordosis.
L1PA and T4PA measure the same angle but taking respectively L1 and T4 instead of T1. The |
Page 10 of 14
{13}
EOS imaging
AN AERO COMPANY
Traditional 510(k) Premarket Notification
K240582 - VEA Align / spineEOS
| Characteristic | Primary Predicate spineEOS (K240582) | Subject Device spineEOS | Substantially Equivalent? |
| --- | --- | --- | --- |
| | • Cobb Angle
• Kyphosis/Lordosis Angle
• Knee Flexion/Extension Angle
• Lordosis Percentage Distributions
• Spondylolisthesis grade (i.e., Slippage percentage) | • Cobb Angle
• Kyphosis/Lordosis Angle
• Knee Flexion/Extension Angle
• Lordosis Percentage Distributions
• Spondylolisthesis grade (i.e., Slippage percentage)
• L1 Pelvic Angle (L1PA)
• T4 Pelvic Angle (T4PA)
• Axial rotation (not computed)
• Disc height (anterior and posterior)
• Disc segmental lordosis | subject device uses the same validated point as the predicate.
The axial rotation is displayed based on the input data received from VEA Align. It is not computed at the planning step.
Disc height and disc segmental lordosis are new clinical parameters linked to the disc. However, they aim to calculate distances (height) and angles (lordosis), same as the other existing clinical parameters. |
| Control of Life-Saving Devices | None | None | YES |
Page 11 of 14
{14}
EOS Imaging an OOH company
Traditional 510(k) Premarket Notification VEA Align / spineEOS
# 7 PERFORMANCE DATA
Nonclinical performance testing performed on the subject devices, VEA Align and spineEOS, supports substantial equivalence to their respective predicate devices. The following V&V testing was performed:
A. Verifications activities cover the following:
- Design input review
- Unit testing
- Software integration
- System integration
B. AI validation performance test:
To assess the standalone performance of the AI algorithm of the VEA Align, the test was performed with:
- A dedicated test data set containing different data from the training data set. Specifically, the test data set is not a sampling of the training data set, has never been used for the algorithm training or for tunning the algorithm and leakage between training and test data sets did not occur.
- For each patient of this data set, a ground truth EOS 3DServices reconstruction (model) from sterEOS (K172346) that was available for comparison with VEA Align reconstruction generated by the AI algorithm.
- A global acceptance criterion to assess the performance of the AI algorithm predictions regarding the ground truth.
- Subgroup analyses to assess bias and generalizability.
# Training data information
The training dataset remained the same as previously submitted for the predicate devices. The AI algorithm was trained using 10,376 X-ray images and a total of 5,188 corresponding 3D reconstructions. This training data set contained images which were collected from EOS (K152788) and EOSedge (K202394) systems at a variety of sites from 2007-2023. This population characteristics cover the intended use population. The data set ensures a variety of data for the different clinical metrics: scoliosis, postural balance, degenerative disease and spine surgery implant (preoperative and postoperative). The images were also acquired using different radiation exposure parameters and with different fields of view.
# Testing data information
The testing data set consisted of 361 patients and the demographic characteristics cover the intended use population. The data set includes images from EOS (K152788) and EOSedge (K202394) systems.
Page 12 of 14
{15}
EOS Imaging an OOH COMPANY
Traditional 510(k) Premarket Notification VEA Align / spineEOS
## Subgroup definition (generalizability)
Test data was divided according to the subgroups listed below. The subgroups are intended to demonstrate the generalizability of the algorithm.
- Demographics
- Age
- Gender
- Clinical Metrics
- Spinal Deformity
- Scoliosis severity
- Postural balance severity
- Degenerative Disease
- Spine surgery implant status (preoperative and postoperative)
- Image Acquisition
- Equipment model
- Radiation exposure parameters
- Field of view
- Data site location
- Different US states
## Acceptance Criteria
The acceptance criteria are used to characterize the performance of the AI algorithm feature. As such, the following acceptance criteria were defined:
- Median error ≤ 3 mm
- 3rd Quartile ≤ 5 mm
## Testing summary
Testing showed that the subject device is equivalent to the predicate device. Direct comparison between skeletal landmark locations between the subject device and predicate device met acceptance criteria for algorithm performance.
Testing was performed over the whole population and for each sub-group mentioned before in order to prove the generalizability of the device performance across the different populations.
All the studies performed indicate acceptable performances of the algorithm for its intended population.
C. Validation activities also cover the following for both VEA Align and spineEOS:
- Validation of the multifunctional requirements in terms of design.
- Usability testing was performed to demonstrate that the subject devices can be used safely by assessing and mitigating usability risks.
- Validation of the reproducibility and accuracy of clinical parameter outputs.
Page 13 of 14
{16}
EOS Imaging an ODO Contract
Traditional 510(k) Premarket Notification
VEA Align / spineEOS
# 8 CONCLUSION
Based on the information provided in this 510(k) submission, it was determined that the subject devices, VEA Align and spineEOS, are substantially equivalent to the legally marketed predicate devices with regards to indications for use, intended use, design, technology, and performance.
Page 14 of 14
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.