Clinical Segmentation Performance Study: 12 cases across Orthopedics, Trauma, Maxillofacial and Cardiovascular
3 (radiologists)
3D anatomical model validation
—
—
Successful validation demonstrating device outputs satisfied end user needs
—
—
Intended Use Validation Study: 12 cases across Orthopedics, Trauma, Maxillofacial and Cardiovascular
9 (physicians)
Indications for Use
Axial3D Insight is intended for use as a cloud-based service and image segmentation framework for the transfer of DICOM imaging information from a medical scanner to an output file. The Axial3D Insight output file can be used for the fabrication of the output file using additive manufacturing methods. The output file or physical replica can be used for treatment planning. The output file or physical replica can be used for diagnostic purposes in the field of trauma, orthopedic, maxillofacial, and cardiovascular applications. Axial3D Insight should be used with other diagnostic tools and expert clinical judgment.
Device Story
Cloud-based image processing/segmentation framework; inputs DICOM imaging from medical scanners (CT/CTA). Employs machine learning models for initial segmentation; trained staff perform final segmentation/quality validation. Produces digital files or 3D-printed physical replicas. Used in hospitals for preoperative planning (surgical instruments, implants, treatment plans) and patient/team communication. Benefits include patient-specific 1:1 scale anatomical models aiding surgical decision-making and diagnostic accuracy.
Clinical Evidence
Clinical segmentation performance study (3 radiologists, 12 cases) used RADPEER framework; all cases scored within acceptance criteria (1 or 2a). Intended use validation study (9 physicians, 12 cases) confirmed outputs met end-user needs. Machine learning models validated on large datasets (Cardiac: 4,838; Neuro: 4,041; Ortho: 10,857; Trauma: 19,134 images).
Technological Characteristics
Cloud-based software; supports CT/CTA modalities. Features image registration, segmentation (automated + smart editing), volume rendering, and quantification. Compatible with specific Formlabs, Stratasys, and HP printers and materials. Software validation per FDA 2002/2005 guidance. Moderate level of concern.
Indications for Use
Indicated for patients requiring 3D anatomical models for treatment planning or diagnostic purposes in trauma, orthopedic, maxillofacial, and cardiovascular applications. Used by clinicians in conjunction with DICOM images and expert judgment.
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}------------------------------------------------
Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Axial Medical Printing Limited % Sujith Shetty Executive Vice President Maxis Medical LLC 3031 Tisch Way, Suite 1010 San Jose, California 95128
Re: K232841
Trade/Device Name: Axial3D Insight Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: QIH Dated: October 19, 2023 Received: October 20, 2023
Dear Sujith Shetty:
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
{1}------------------------------------------------
Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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 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-reportingcombination-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.
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-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/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-device-advice-comprehensive-regulatory
{2}------------------------------------------------
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,
Jessica Lamb
Jessica Lamb, Ph.D. Assistant Director Imaging Software Team DHT 8B: Division of Radiological Imaging Devices and Electronic Products OHT 8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{3}------------------------------------------------
## Indications for Use
510(k) Number (if known) K232841
Device Name Axial3D Insight
### Indications for Use (Describe)
Axial3D Insight is intended for use as a cloud-based service and image segmentation framework for the transfer of DICOM imaging information from a medical scanner to an output file.
The Axial3D Insight output file can be used for the fabrication of the output file using additive manufacturing methods.
The output file or physical replica can be used for treatment planning.
The output file or physical replica can be used for diagnostic purposes in the field of trauma, orthopedic, maxillofacial, and cardiovascular applications.
Axial3D Insight should be used with other diagnostic tools and expert clinical judgment.
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}------------------------------------------------
Image /page/4/Picture/1 description: The image contains the logo for Axial3D. The logo consists of the word "axial" in a dark blue sans-serif font, with a small teal diamond shape above the "i". To the right of "axial" is the number "3D" in a smaller font size and slightly raised as a superscript. Below the main logo is the tagline "Patient data made real" in a teal sans-serif font.
## 510(k) Summary 5
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the logo for Axial3D. The logo is in a dark blue color, with the word "axial" in a bold, sans-serif font. Above the "i" in axial is a teal diamond. To the right of "axial" is the number "3D" in a smaller font. Below the logo is the tagline "Patient data made real" in a teal color.
# 510(k) Summary
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CRF 807.92.
## 510 (k) number: K232841
#### 5.1 Applicant Information
| Axial Medical Printing Limited |
|--------------------------------|
| 17A Ormeau Avenue |
| Belfast |
| BT2 8HD |
| United Kingdom |
| Tel: +44 (0)28 90183590 |
#### 5.1.1 Contact Person
Joanne Flatley, QA/RA Lead
#### 5.2 Device Information
| Trade Name | Axial3D Insight |
|------------------------|--------------------------------------------------|
| Common Name | Automated Radiological Image Processing Software |
| Classification number: | 892.2050 |
| Regulatory Class | II |
| Product Code | QIH |
#### 5.3 Predicate Device
Table 5-1 - Predicate Device
| Name | Manufacturer | 510(k)# |
|-----------------|--------------------------------|---------|
| Axial3D Insight | Axial Medical Printing Limited | K222745 |
This predicate has not been subject to a design-related recall. No reference devices were used in this submission.
#### 5.4 Device Description
Axial3D Insight is a secure, highly available cloud-based image processing, segmentation, and 3D modelling framework for the transfer of imaging information either as a 3D printed physical model.
{6}------------------------------------------------
Image /page/6/Picture/1 description: The image shows the logo for Axial3D. The word "axial" is in a dark gray color, with a teal diamond shape above the "i". To the right of "axial" is the number "3" in superscript, followed by the letter "D", also in dark gray. Below the logo is the text "Patient data made real" in teal.
#### 5.4.1 Indications for Use
Axial3D Insight is intended for use as a cloud-based service and image segmentation framework for the transfer of DICOM imaging information from a medical scanner to an output file.
The Axial3D Insight output file can be used for the fabrication of physical replicas of the output file using additive manufacturing methods.
The output file or physical replica can be used for treatment planning.
The output file or the physical replica can be used for diagnostic purposes in the field of trauma, orthopedic, maxillofacial, and cardiovascular applications.
Axial3D Insight should be used with other diagnostic tools and expert clinical judgment.
#### 5.5 Comparison of Intended Use to Predicate and Reference Devices
| Attribute | Axial3D Insight<br>(Proposed Device) | Axial3D Insight<br>(Predicate Device K222745) | Comparison |
|----------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------|
| Device<br>Manufacturer | Axial Medical Printing Limited | Axial Medical Printing Limited | N/A |
| Device Name | Axial3D Insight | Axial3D Insight | N/A |
| Device Trade or<br>Proprietary<br>Name | Axial3D Insight | Axial3D Insight | N/A |
| 510(k) Number | K232841 | K222745 | N/A |
| Device<br>Regulation<br>Name: | Automated Radiological Image<br>Processing Software | Automated Radiological image<br>Processing Software | Equivalent |
| Device<br>Regulation<br>Number: | 21 CFR 892.2050 | 21 CFR 892.2050 | Equivalent |
| Device Product<br>Code: | QIH | QIH | Equivalent |
| Device<br>Classification<br>FDA: | Class II | Class II | Equivalent |
| Indication for<br>Use | Axial3DInsight is intended for use<br>as a cloud-based service and<br>image segmentation framework<br>for the transfer of DICOM imaging<br>information from a medical<br>scanner to an output file. | Axial3DInsight is intended for use<br>as a cloud-based service and<br>image segmentation framework<br>for the transfer of DICOM imaging<br>information from a medical<br>scanner to an output file. | Equivalent |
| Attribute | Axial3D Insight<br>(Proposed Device) | Axial3D Insight<br>(Predicate Device K222745) | Comparison |
| | The Axial3DInsight output file can<br>be used for the fabrication of<br>physical replicas of the output file<br>using additive manufacturing<br>methods. | The Axial3DInsight output file can<br>be used for the fabrication of<br>physical replicas of the output file<br>using additive manufacturing<br>methods. | |
| | The output file or physical replica<br>can be used for treatment<br>planning. | The output file or physical replica<br>can be used for treatment<br>planning. | |
| | The output file or physical replica<br>can be used for diagnostic<br>purposes in the field of orthopedic<br>trauma, orthopedic, maxillofacial,<br>and cardiovascular applications. | The output file or physical replica<br>can be used for diagnostic<br>purposes in the field of orthopedic<br>trauma, orthopedic, maxillofacial,<br>and cardiovascular applications. | |
| | Axial3DInsight should be used<br>with other diagnostic tools and<br>expert clinical judgment. | Axial3DInsight should be used<br>with other diagnostic tools and<br>expert clinical judgment. | |
| | Axial Medical Printing Limited's,<br>Axial3D Insight provides patient<br>specific 1:1 scale replica models,<br>either as a digital file or as a 3D<br>printed physical model. | Axial Medical Printing Limited's,<br>Axial3D Insight provides patient<br>specific 1:1 scale replica models,<br>either as a digital file or as a 3D<br>printed physical model. | |
| | The digital file or 3D printed<br>physical model is intended to be<br>used in conjunction with the<br>DICOM images and expert<br>clinical judgement. The<br>applications for using the physical<br>3D printed physical model as a<br>presurgical planning tool are as<br>follows: | The digital file or 3D printed<br>physical model is intended to be<br>used in conjunction with the<br>DICOM images and expert<br>clinical judgement. The<br>applications for using the physical<br>3D printed physical model as a<br>presurgical planning tool are as<br>follows: | |
| Intended Use | Preoperative planning of surgical<br>treatment options including<br>planning for surgical instruments,<br>aiding decisions on implants, and<br>aiding the surgical treatment<br>plan., All planning using the 3D<br>replica model should be carried<br>out with the assistance of the<br>DICOM images<br>Communication with the surgical<br>team to discuss the surgical<br>treatment plan in conjunction with<br>DICOM images.<br>Communication with the patient<br>to discuss the surgical treatment | Preoperative planning of surgical<br>treatment options including<br>planning for surgical instruments,<br>aiding decisions on implants, and<br>aiding the surgical treatment<br>plan., All planning using the 3D<br>replica model should be carried<br>out with the assistance of the<br>DICOM images<br>Communication with the surgical<br>team to discuss the surgical<br>treatment plan in conjunction with<br>DICOM images.<br>Communication with the patient<br>to discuss the surgical treatment | Equivalent |
| Attribute | Axial3D Insight (Proposed Device) | Axial3D Insight (Predicate Device K222745) | Comparison |
| | plan in conjunction with DICOM images<br>Education tool for surgical planning. The 3D printed physical model can be used for surgical planning in the following applications: orthopedics and trauma, maxillofacial, and cardiovascular surgery. | plan in conjunction with DICOM images.<br>Education tool for surgical planning. The 3D printed physical model can be used for surgical planning in the following applications: orthopedics and trauma, maxillofacial, and cardiovascular surgery. | |
| Method of Use | Used in conjunction with other diagnostic tools and expert clinical judgement. | Used in conjunction with other diagnostic tools and expert clinical judgement. | Equivalent |
| Environment | Hospital | Hospital | Equivalent |
| OTC or<br>Prescription<br>Device | Prescription Use | Prescription Use | Equivalent |
| Level of<br>Concern / | Moderate | Moderate | Equivalent: |
| V&V | Complies with FDA Guidance Requirement | Complies with FDA Guidance Requirement | Equivalent |
Table 5-2 – Predicate Device Comparison: Intended Use
{7}------------------------------------------------
Image /page/7/Picture/1 description: The image shows the logo for Axial3D. The logo consists of the word "axial" in a dark gray color, with a small teal diamond above the "i". To the right of "axial" is the superscript "3D". Below the word "axial" is the phrase "Patient data made real" in a teal color.
{8}------------------------------------------------
Image /page/8/Picture/1 description: The image shows the logo for Axial3D. The logo consists of the word "axial" in a dark blue color, with a teal diamond shape above the "i". To the right of "axial" is the number "3D" in a smaller font size and also in dark blue. Below the word "axial" is the phrase "Patient data made real" in teal.
#### Comparison of Technological Characteristics to the Predicate Device 5.6
| Attribute | Axial3D Insight<br>(Proposed Device) | Axial3D Insight<br>(Predicate Device K222745) | Comparison |
|--------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|
| Method of Use | software interface | software interface | Equivalent |
| Computer<br>Platform and<br>Operating<br>System | Microsoft Edge (v104), Safari (v15) or<br>Chrome (v103) or equivalent | Microsoft Edge (v104), Safari (v15) or<br>Chrome (v103) or equivalent | Equivalent |
| Supported<br>Modalities | CT and CTA | CT and CTA | Equivalent |
| Image<br>registration | Yes | Yes | Equivalent |
| Segmentation<br>Features | A combination of automated tools with<br>smart editing tools | A combination of automated tools with<br>smart editing tools | Equivalent |
| View<br>Manipulation and | Yes | Yes | Equivalent |
| Attribute | Axial3D Insight<br>(Proposed Device) | Axial3D Insight<br>(Predicate Device K222745) | Comparison |
| Volume<br>Rendering | | | |
| Regions and<br>Volumes of<br>Interest (ROI) | Orthopedics / Trauma<br>Cardiovascular<br>Cranio- Maxillofacial | Orthopedics / Trauma<br>Cardiovascular<br>Cranio- Maxillofacial | Equivalent |
| Region/volume<br>of interest<br>measurements<br>and size<br>measurements | Yes | Yes | Equivalent |
| Region/Volume<br>Quantification | Yes | Yes | Equivalent |
| Approved<br>Printers | <b>Formlabs</b><br>• Form 3B<br><b>Stratasys</b><br>• J750<br>• J5 Medijet<br>• J850<br>• Origin One<br><b>HP</b><br>• HP580<br>• HP540 | <b>Formlabs</b><br>• Form 3B<br><b>Stratasys</b><br>• J750<br>• J5 Medijet<br><b>HP</b><br>• HP580<br>• HP540 | Similar |
| Approved<br>Materials | <b>Formlabs</b><br>• Form 3B<br>◦ Standard White V4 FLGPWH04<br>◦ Standard Draft V2 FLDRGR02<br>◦ Standard Clear V4 FLGPCL04<br>◦ Flexible 80A V1 FLFL8001<br><b>Stratasys</b><br>• J750<br>◦ Agilus,<br>◦ VeroBlackPlus,<br>◦ VeroClear, | <b>Formlabs</b><br>• Form 3B<br>◦ Standard White V4 FLGPWH04<br>◦ Standard Draft V2 FLDRGR02<br>◦ Standard Clear V4 FLGPCL04<br>◦ Flexible 80A V1 FLFL8001<br><b>Stratasys</b><br>• J750<br>◦ Agilus,<br>◦ VeroBlackPlus,<br>◦ VeroClear, | Similar |
| Attribute | Axial3D Insight<br>(Proposed Device) | Axial3D Insight<br>(Predicate Device K222745) | Comparison |
| | VeroCyan, VeroGrey, VeroMagenta, VeroPureWhite, VeroYellow | VeroCyan, VeroGrey, VeroMagenta, VeroPureWhite, VeroYellow | |
| | <b>J5 Medijet</b> VeroVividTMCyan, VeroVividTMMagenta, VeroVividTMYellow, DraftWhite, MED610, MED615RGD, VeroUltraClearTM ElasticoTMClear | <b>J5 Medijet</b> VeroVividTMCyan, VeroVividTMMagenta, VeroVividTMYellow, DraftWhite, MED610, MED615RGD, VeroUltraClearTM ElasticoTMClear | |
| | <b>J850</b> VeroVividTMCyan, VeroVividTMMagenta, VeroVividTMYellow, VeroPureWhite BoneMatrixTM GelMatrixTM TissueMatrixTM RadioMatrixTM Agilus30 VeroClear VeroMagenta BlackPlus | <b>HP HP580</b> Nylon PA12 <b>HP540</b> Nylon PA12 | |
| | <b>Origin One</b> ORIGIN DM100 by BASF ORIGIN DM200 by BASF LOCTITE 3D 3843 LOCTITE 3D IND405 | | |
| <b>HP HP580</b> Nylon PA12 <b>HP540</b> Nylon PA12 | | | |
| | | | |
| Attribute | Axial3D Insight<br>(Proposed Device) | Axial3D Insight<br>(Predicate Device K222745) | Comparison |
| | • Nylon PA12 | | |
{9}------------------------------------------------
Image /page/9/Picture/1 description: The image shows the logo for Axial3D. The word "axial" is in a dark gray color, with a teal diamond above the "i". The "3D" is in a smaller font and is located to the right and above the word "axial". Below the logo is the phrase "Patient data made real" in a teal color.
{10}------------------------------------------------
Image /page/10/Picture/1 description: The image shows the logo for Axial3D. The logo consists of the word "axial" in a dark blue sans-serif font, with a small teal diamond above the "i". To the right of "axial" is the superscript "3D". Below the word "axial" is the tagline "Patient data made real" in a teal sans-serif font.
{11}------------------------------------------------
Image /page/11/Picture/1 description: The image shows the logo for Axial3D. The word "axial" is written in a bold, dark blue font, with a small teal diamond above the "i". To the right of "axial" is a superscript "3D", also in dark blue. Below the logo is the tagline "Patient data made real" in a teal font.
#### 5.7 Performance Data
#### Axial3D Insight Device Validation 5.7.1
Axial3D performed software design verification and validation testing on all three software components of the device and the software documentation for a Moderate Level of Concern software, per FDA Guidance "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" issued in 2005. The update to the product that is the subject of this premarket notification does not affect the current software validation, as only new materials and printers are being added to the product. Axial3D is aware that the FDA software quidance was updated in 2023, but since the software portion of the Axial insight product is not being updated as a part of this submission, testing in accordance with the previous guidance remains applicable.
Axial3D has conducted software verification and validation, in accordance with the FDA guidance, General Principles of Software Validation; Final Guidance for Industry and FDA Staff, issued on January 11, 2002. All software requirements and risk analysis have been successfully verified and traced.
In addition to the human factors' validation of the Axial3D Insight device, Axial3D conducted two validation studies:
- Clinical Segmentation Performance Study .
- . Intended Use Validation Study
The Clinical Segmentation Performance study was conducted with 3 radiologists reviewing the segmentation of 12 cases across the fields of Orthopedics, Trauma, Maxillofacial and Cardiovascular. Axial3D adopted a peer reviewed medical imaging review framework of RADPEER* to capture the assessment and feedback from the radiologists involved - all cases were scored within the acceptance criteria of 1 or 2a.
* "ACR RADPEER committee white paper with 2016 updates: revised scoring system, new classifications, self-review, and subspecialized reports." Journal of the American College of Radiology 14.8 (2017): 1080-1086.
The Intended Use validation study of the device was conducted with 9 physicians reviewing 12 cases across the fields of Orthopedics, Trauma, Maxillofacial and Cardiovascular, as defined in the Intended Use statement of the device. This study concluded successful validation of the 3D models produced by Axial3D demonstrating the device outputs satisfied end user needs and indications for use.
#### Axial™- Machine Learning Validation 5.7.2
AxialM- machine learning models are used to generate an initial segmentation of cases, however
{12}------------------------------------------------
Image /page/12/Picture/1 description: The image shows the logo for Axial3D. The logo consists of the word "axial" in a dark gray color, with a small teal diamond above the "i". To the right of "axial" is the superscript "3D" in the same dark gray color. Below the word "axial" is the phrase "Patient data made real" in a teal color.
the output of these models is not used in isolation to produce the final 3D patient specific model. The segmentations produced by the Axial™ machine learning models are used by Axial3D trained staff who complete the final segmentation and validation of the quality of each 3D patient specific model produced.
AxialMI- machine learning models were independently verified and validated before inclusion in the Axial3D Insight device. Details of the data used in the validation of each machine learning model is provided below.
{13}------------------------------------------------
Image /page/13/Picture/1 description: The image shows the logo for Axial3D. The word "axial" is in a dark blue color, and the "3D" is in black. Below the logo is the phrase "Patient data made real" in a light blue color.
| | Cardiac<br>CT/CTa | Neuro CT/CTa | Ortho CT | Trauma CT |
|-----------------------------------------------|-------------------|--------------|-------------|-------------|
| Number of<br>Images Used<br>for Validation | 4,838 | 4,041 | 10,857 | 19,134 |
| Slice Spacing<br>Range<br>(Min, Max in<br>mm) | 0.4 - 0.8 | 0.44 - 1.0 | 0.3 - 2.0 | 0.2 - 2.0 |
| Slice Spacing<br>Average<br>(in mm) | 0.54 | 0.63 | 0.79 | 0.76 |
| Pixel Size<br>Range (Min,<br>Max in mm) | 0.23 - 0.78 | 0.34 - 0.70 | 0.18 - 0.98 | 0.22 - 0.98 |
| Pixel Size<br>Average (mm) | 0.46 | 0.51 | 0.44 | 0.51 |
Table 5-3: Software Validation Data
*NeuroCT/CTa model is used for cardiology cases.
The variety of image scanner manufacturers and models used within the validation dataset are listed below.
Table 5-4 – Imaging scanner manufactures and models used for the validation datasets
| Manufacturer | Model |
|--------------------|--------------------------|
| GE Medical Systems | Lightspeed Pro 16 |
| | Lightspeed Pro 32 |
| | Revolution CT |
| | Optima CT660 |
| | Discovery CT750 HD |
| Siemens | SOMATOM Definition Flash |
| | SOMATOM Definition Edge |
| | SOMATOM Definition AS |
| | SOMATOM Definition AS+ |
{14}------------------------------------------------
Image /page/14/Picture/1 description: The image shows the logo for Axial3D. The logo consists of the word "axial" in a dark blue sans-serif font, with a small teal diamond above the "i". To the right of "axial" is the number "3D" in a smaller font, with the "3" raised as a superscript. Below the word "axial" is the tagline "Patient data made real" in a teal sans-serif font.
| | SOMATOM Perspective |
|----------|---------------------|
| | SOMATOM Force |
| | Sensation 16 |
| | AXIOM-Artis |
| | Emotion 16 |
| Phillips | IQON Spectral CT |
| | iCT 128 |
| | iCT 256 |
| | Ingenuity Core 128 |
| | Brilliance 62 |
| Toshiba | Aquillon PRIME |
| | Aquillon PRIME SP |
The AxialM machine learning model training data used during the algorithm development was explicitly kept separate and independent from the validation data used.
#### 5.7.3 Phantom Testing
#### Verification of the Stratasys Origin One Printer and materials 5.7.3.1
The verification testing of the Origin One printer involved printing 3D test phantoms provided by the National Institute of Standards and technology (NIST). This object provides a realistic challenge to the geometry the printer will need to replicate to print anatomical models. Similar features are present in anatomical structures such as thin walls, flat surfaces, holes, and overhangs. The NIST test phantom also makes possible a detailed evaluation of a range of small, medium, and large features, which also replicate anatomical features while allowing repeated measurements to determine accuracy and repeatability as outlined in Slide 12 FDA/CDRH-RSNA SIG Joint Meeting on 3D Printed Patient-Specific Anatomic Models.
This verification test establishes that the printer can reproduce the required geometry to an acceptance criterion of ± 0.3mm, the same acceptance criteria used to verify the predicate device (Axial 3D Insight, K222745)
#### Verification of the Stratasys J850 and materials 5.7.3.2
Axial Medical Printing verified the Stratasys J850 printer as part of the design control process. Testing was performed on the J850 by Stratasys, who provided a test report detailing the verification activity.
{15}------------------------------------------------
Image /page/15/Picture/0 description: The image shows the logo for Axial3D. The logo consists of the word "axial" in a dark blue color, with a small teal diamond shape above the "i". To the right of "axial" is the number "3D" in a smaller font size and also in dark blue. Below the word "axial" is the phrase "Patient data made real" in teal.
Verification testing for the J850 printer is appropriate to establish that the Axial3D Insight device can produce anatomical models with the required accuracy of the product, as established in K222745
#### 5.8 Conclusions:
Based on the indications for use, product performance, and clinical information provided in this notification, the Axial3D Insight is considered substantially equivalent to the marketed predicate device, Axial3D Insight (K222745). Both the predicate device and the Axial3D Insight have similar DICOM segmentation and 3D model creation. This 510(k) notification contains the technological characteristics and validation and verification to demonstrate the Axial3D Insight does not raise any different questions regarding safety and effectiveness compared to the predicate, Axial3D Insight (K222745).
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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.