Acorn 3D Software (AC-SEG-4009); Acorn 3DP Model (AC-101-XX)
K251532 · Mighty Oak Medical · LLZ · Nov 3, 2025 · Radiology
Device Facts
Record ID
K251532
Device Name
Acorn 3D Software (AC-SEG-4009); Acorn 3DP Model (AC-101-XX)
Applicant
Mighty Oak Medical
Product Code
LLZ · Radiology
Decision Date
Nov 3, 2025
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
AI/ML, Software as a Medical Device, Pediatric
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Pedicle screw trajectory planning
Fully automatic machine learning algorithms
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Spinal anatomy segmentation
Machine learning based auto segmentation
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Collection of images and masks as a training dataset
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Indications for Use
Acorn 3D Software is a modular image processing software intended for use as an interface for visualization of medical images, segmentation, treatment planning, and production of an output file. The Acorn 3D Segmentation module is intended for use as a software interface and image segmentation system for the transfer of CT or CTA medical images to an output file. Acorn 3D Segmentation is also intended for measuring and treatment planning. The Acorn 3D Segmentation output can also be used for the fabrication of physical replicas of the output file using additive manufacturing methods, Acorn 3DP Models. The physical replica can be used for diagnostic purposes in the field of musculoskeletal and craniomaxillofacial applications. The Acorn 3D Trajectory Automation module may be used to plan pedicle screw placement in the thoracic and lumbar regions of the spine in pediatric and adult patients. Acorn 3D Software and 3DP Models should be used in conjunction with expert clinical judgment.
Device Story
Acorn 3D Software is a modular image processing suite for DICOM CT/CTA data. It enables visualization, segmentation, and 3D model generation. The new Trajectory Automation module uses fully automatic algorithms to plan pedicle screw trajectories (entry points, end points, screw sizes) in the thoracic and lumbar spine. The software allows manual, semi-automatic, and machine-learning-based auto-segmentation. Users include biomedical engineers (for segmentation) and surgeons/clinicians (for trajectory planning). Output files (JSON/STL) support additive manufacturing of physical replicas (using HP 3D High Reusability PA12 polymer) for diagnostic use. The software acts as a decision support tool; clinicians review outputs against patient imaging and apply expert judgment to finalize surgical plans. It benefits patients by facilitating preoperative planning for spinal instrumentation.
Clinical Evidence
Bench testing only. Accuracy of pedicle screw geometry and trajectories was assessed using worst-case scenario conditions. Accuracy was compared against clinical data, with deviations found to be within established acceptance criteria. No clinical trials were conducted.
Technological Characteristics
Standalone modular software package. Functions include DICOM import, noise-reduction filtering, visualization, segmentation (manual, semi-automatic, and ML-based auto-segmentation), measurement, and 3D model calculation/smoothing. Data export via JSON and STL. Physical models are additively manufactured using HP 3D High Reusability PA12 polymer powder. Connectivity includes import/export of DICOM and third-party STL files.
Indications for Use
Indicated for visualization, segmentation, treatment planning, and output file production from CT/CTA images. The Trajectory Automation module is indicated for planning pedicle screw placement in the thoracic (T1-T12) and lumbar (L1-L5) spine in pediatric and adult patients. Physical replicas are indicated for diagnostic use in musculoskeletal and craniomaxillofacial applications.
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).
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FDA U.S. FOOD & DRUG ADMINISTRATION
November 3, 2025
Mighty Oak Medical
Mark Wylie
VP Quality and Regulatory
750 W. Hampden Ave
Suite 120
Englewood, CO 80110
Re: K251532
Trade/Device Name: Acorn 3D Software (AC-SEG-4009); Acorn 3DP Model (AC-101-XX)
Regulation Number: 21 CFR 892.2050
Regulation Name: Medical Image Management and Processing System
Regulatory Class: Class II
Product Code: LLZ, QIH
Dated: October 6, 2025
Received: October 6, 2025
Dear Mark Wylie:
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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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
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the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-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, PhD
Assistant Director
Imaging Software 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
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Acorn 3D Software
Page 9 of 43
| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K251532 | ? |
| Please provide the device trade name(s). | | ? |
| Acorn 3D Software (AC-SEG-4009);
Acorn 3DP Model (AC-101-XX) | | |
| Please provide your Indications for Use below. | | ? |
| Acorn 3D Software is a modular image processing software intended for use as an interface for visualization of medical images, segmentation, treatment planning, and production of an output file.
The Acorn 3D Segmentation module is intended for use as a software interface and image segmentation system for the transfer of CT or CTA medical images to an output file. Acorn 3D Segmentation is also intended for measuring and treatment planning. The Acorn 3D Segmentation output can also be used for the fabrication of physical replicas of the output file using additive manufacturing methods, Acorn 3DP Models. The physical replica can be used for diagnostic purposes in the field of musculoskeletal and craniomaxillofacial applications.
The Acorn 3D Trajectory Automation module may be used to plan pedicle screw placement in the thoracic and lumbar regions of the spine in pediatric and adult patients.
Acorn 3D Software and 3DP Models should be used in conjunction with expert clinical judgment. | | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
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K251532
# 510(K) SUMMARY

# MIGHTY OAK
# MEDICAL
Acorn 3D Trajectory Automation
## Submitter:
Mighty Oak Medical
750 W. Hampden Ave., Suite 120
Englewood, CO 80110
(720) 398-9703
Contact: Mark A. Wylie, VP of Quality and Regulatory
Date Prepared: 03OCT2025
## Device
Trade Name: Acorn 3D Software
Common Name: Image processing system
Device Classification: Class II
Regulation, Name: 21 CFR 892.2050, Medical image management and processing system
Device Product Code: LLZ, QIH
## Type of 510(k)
Original Submission: Traditional.
## Predicate Device(s):
Acorn Segmentation & 3DP Model
| 510(k) | Product Code | Trade Name | Manufacturer |
| --- | --- | --- | --- |
| Primary Predicate Device | | | |
| K234009 | LLZ, QIH | Acorn 3D Software | Mighty Oak Medical |
| Subsequent Predicate Device | | | |
| K141669 | LLZ | Surgimap | Nemaris Inc. |
## Introduction
This 510(k) filing seeks to expand the indications for use of the previously cleared Acorn 3D Software (K234009) to plan pedicle screw placement in the spine. This submission includes the Acorn 3D Trajectory Automation module as a new extension of the Acorn 3D Software.
Acorn 3D Software is a modular and multi-functional software suite. The subject device, Acorn 3D Trajectory Automation module, builds on the functions and capabilities of the Acorn 3D Software (predicate), specifically image segmentation and the transfer of imaging information from a medical scanner to an output file. Acorn 3D Trajectory Automation module contains dedicated fully automatic algorithms for planning pedicle screw trajectories.
## Description
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Acorn 3D Software is an image processing software that allows the user to import, visualize and segment medical images, check and correct the segmentations, and create digital 3D models. The models can be used in Acorn 3D Software for measuring, treatment planning and producing an output file to be used for additive manufacturing (3D printing). Acorn 3D Software is structured as a modular package.
This includes the following functionality:
- Importing medical images in DICOM format
- Viewing images and DICOM data
- Selecting a region of interest using generic segmentation tools
- Segmenting specific anatomy using dedicated semi-automatic tools or fully automatic algorithms
- Verifying and editing a region of interest
- Calculating a digital 3D model and editing the model
- Measuring on images and 3D models
- Exporting 3D models to third-party packages
- Planning pedicle screw placement
The Acorn 3D Segmentation module contains both machine learning based auto segmentation as well as semi-automatic and manual segmentation tools. The auto-segmentation tool is only intended to be used for thoracic and lumbar regions of the spine (T1-T12 and L1-L5) and the pelvis (sacrum). Semi-automatic and manual segmentation tools are intended to be used for all musculoskeletal anatomy.
| | Automatic | Semi-Automatic | Manual |
| --- | --- | --- | --- |
| Definition | Algorithmic with little or no direct human control | A combination of algorithmic and direct human control | Directly controlled by a human |
| Tool Type | Machine Learning algorithm used to automatically segment individual vertebrae and the pelvis | Algorithmic based tools that do not incorporate machine learning. | Manual tools requiring user input. |
| Anatomical Location (s) | Spinal anatomy: • Thoracic (T1-T12) • Lumbar (L1-L5) • Sacrum | Musculoskeletal & craniomaxillofacial bone: • Short • Long • Flat • Sesamoid • Irregular | Musculoskeletal & craniomaxillofacial bone: • Short • Long • Flat • Sesamoid • Irregular |
Acorn 3DP Model is an additively manufactured physical replica of the virtual 3D model generated in Acorn 3D Segmentation. The output file from Acorn 3D Segmentation is used to additively manufacture the Acorn 3DP Model.
The Acorn 3D Trajectory Automation module contains dedicated fully automatic algorithms for planning pedicle screw trajectories. The algorithms are only intended to be used for the thoracic and lumbar regions of the spine (T1-T12 and L1-L5). The output file from Acorn 3D Trajectory Automation contains information relevant to pedicle screw placement surgery, including entry points, end points, and screw sizes of planned screws.
# Indications for Use
Acorn 3D Software is a modular image processing software intended for use as an interface for visualization of medical images, segmentation, treatment planning, and production of an output file.
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The Acorn 3D Segmentation module is intended for use as a software interface and image segmentation system for the transfer of CT or CTA medical images to an output file. Acorn 3D Segmentation is also intended for measuring and treatment planning. The Acorn 3D Segmentation output can also be used for the fabrication of physical replicas of the output file using additive manufacturing methods, Acorn 3DP Models. The physical replica can be used for diagnostic purposes in the field of musculoskeletal and craniomaxillofacial applications.
The Acorn 3D Trajectory Automation module may be used to plan pedicle screw placement in the thoracic and lumbar regions of the spine in pediatric and adult patients.
Acorn 3D Software and 3DP Models should be used in conjunction with expert clinical judgment.
## Materials
The manufactured components of the Acorn 3DP Model are manufactured from a polymer powder for use in additive manufacturing (HP 3D High Reusability PA12).
## Predicate Device Comparison Table
The table below provides a descriptive comparison of the similarities and differences for the subject and predicate devices. The items marked **bold** in the table highlight the differences between the Acorn 3D Trajectory Automation module and the predicate device Acorn 3D Software (K234009).
Table 1: Comparison of devices
| Device→Features↓ | Acorn 3D Software & 3DP Models (K251532) | Acorn 3D Software & 3DP Models (K234009) | Surgimap (K141669) |
| --- | --- | --- | --- |
| Trade Name | Acorn 3D Software(AC-SEG-4009); Acorn 3DP Model (AC-101-XX) | Acorn 3D Software (AC-SEG-4009); Acorn 3DP Model (AC-101-XX) | Surgimap |
| Common Name | Image processing system | Image processing system | Picture Archiving and Communication System (PACS) |
| Premarket notification | K251532 | K234009 | K141669 |
| Manufacturer | Mighty Oak Medical | Mighty Oak Medical | Nemaris Inc. |
| Indications for Use Statement | Acorn 3D Software is a modular image processing software intended for use as an interface for visualization of medical images, segmentation, treatment planning, and production of an output file.
The Acorn 3D Segmentation module is intended for use as a software interface and image segmentation system for the transfer of CT or CTA medical images to an output file. Acorn Segmentation is also intended for measuring and treatment planning. The Acorn Segmentation output can also be used for the fabrication of physical replicas of the output file using additive manufacturing methods. Acorn 3DP Models. The physical replica can be used for diagnostic purposes in the field of musculoskeletal and craniomaxillofacial applications.
The Acorn 3D Trajectory Automation module may be used to plan pedicle screw placement in the spine in pediatric and adult patients.
Acorn 3D Software and 3DP Models should be used in conjunction with expert clinical judgment. | Acorn Segmentation is intended for use as a software interface and image segmentation system for the transfer of CT or CTA medical images to an output file. Acorn Segmentation is also intended for measuring and treatment planning. The Acorn Segmentation output can also be used for the fabrication of physical replicas of the output file using additive manufacturing methods. Acorn 3DP Models. The physical replica can be used for diagnostic purposes in the field of musculoskeletal and craniomaxillofacial applications.
Acorn Segmentation and 3DP Models should be used in conjunction with expert clinical judgment. | The Surgimap software assists healthcare professionals in viewing, storing, and measuring images as well as planning orthopedic surgeries. The device allows service providers to perform generic as well as specialty measurements of the images, and to plan surgical procedures. The device also includes tools for measuring anatomical components for placement of surgical implants, and offer online synchronization of the database with the possibility to share data among Surgimap users. Clinical judgment and experience are required to properly use the software. |
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| Device→Features: | Acorn 3D Software & 3DP Models (this submission) | Acorn 3D Software & 3DP Models (K234009) | Surgimap (K141669) |
| --- | --- | --- | --- |
| General intended use | Acorn 3D Software is an image processing software that allows the user to import, visualize and segment medical images, check and correct the segmentations, and create digital 3D models. | Acorn Segmentation is an image processing software that allows the user to import, visualize and segment medical images, check and correct the segmentations, and create digital 3D models. | Surgimap is image analysis and surgical planning software intended for use by medical professionals to view, measure, and annotate medical images (including DICOM images) for diagnostic and preoperative planning purposes. |
| Product Classification | Automated radiological image processing software | Automated radiological image processing software | Medical image management and processing system. |
| Regulatory Class | Class II | Class II | Class II |
| Classification | 892.2050 | 892.2050 | 892.2050 |
| Product Code | QIH, LLZ | QIH, LLZ | LLZ |
| Device Description | Acorn 3D Software is an image processing software that allows the user to import, visualize and segment medical images, check and correct the segmentations, and create digital 3D models. The models can be used in Acorn 3D Software for measuring, treatment planning and producing an output file to be used for additive manufacturing (3D printing). Acorn 3D Software is structured as a modular package. This includes the following functionality: • Importing medical images in DICOM format • Viewing images and DICOM data • Selecting a region of interest using generic segmentation tools • Segmenting specific anatomy using dedicated semi-automatic tools or fully automatic algorithms • Verifying and editing a region of interest • Calculating a digital 3D model and editing the model • Measuring on images and 3D models • Exporting 3D models to third-party packages • Planning pedicle screw placement The Acorn 3D Segmentation module contains both machine learning based auto segmentation as well as semi-automatic and manual segmentation tools. The auto-segmentation tool is only intended to be used for thoracic and lumbar regions of the spine (T1-T12 and L1-L5) and the pelvis (sacrum). Semi-automatic and manual segmentation tools are intended to be used for all musculoskeletal anatomy. | Acorn Segmentation is an image processing software that allows the user to import, visualize and segment medical images, check and correct the segmentations, and create digital 3D models. The models can be used in Acorn Segmentation for measuring, treatment planning and producing an output file to be used for additive manufacturing (3D printing). Acorn Segmentation is structured as a modular package. This includes the following functionality: • Importing medical images in DICOM format • Viewing images and DICOM data • Selecting a region of interest using generic segmentation tools • Segmenting specific anatomy using dedicated semi-automatic tools or fully automatic algorithms • Verifying and editing a region of interest • Calculating a digital 3D model and editing the model • Measuring on images and 3D models • Exporting 3D models to third-party packages The Acorn Segmentation module contains both machine learning based auto segmentation as well as semi-automatic and manual segmentation tools. The auto-segmentation tool is only intended to be used for thoracic and lumbar regions of the spine (T1-T12 and L1-L5) and the pelvis (sacrum). Semi-automatic and manual segmentation tools are intended to be used for all musculoskeletal anatomy. | Surgimap is a software application intended for use by trained medical professionals, including physicians, to view, measure, and annotate medical images (including DICOM images) for diagnostic and planning purposes. Surgimap provides tools for orthopedic surgical planning such as templating and measuring angles, lengths, and other relevant anatomical data. The software may also be used to create preoperative plans that can be shared among healthcare professionals. It is intended as a planning and imaging tool and not for primary image interpretation or as a sole diagnostic device. |
| Definition | Automatic | Semi-Automatic | Manual | Automatic | Semi-Automatic | Manual | |
| Algorithm | Algorithmic with little or no direct human control | A combination of algorithmic and direct human control | Directly controlled by a human | Algorithm | Algorithmic with little or no direct human control | A combination of algorithmic and direct human control | Directly controlled by a human |
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| Device→Features↓ | Acorn 3D Software & 3DP Models (this submission) | Acorn 3D Software & 3DP Models (K234009) | Surgimap (K141669) |
| --- | --- | --- | --- |
| | Tool Type | Machine Learning algorithm used to automatically segment individual vertebrae and the pelvis | Algorithmic based tools that do not incorporate machine learning. | Manual tools requiring user input. | Tool Type | Machine Learning algorithm used to automatically segment individual vertebrae and the pelvis | Algorithmic based tools that do not incorporate machine learning. | Manual tools requiring user input. | |
| Anatomical Location (s) | Spinal anatomy: • Thoracic (T1-T12) • Lumbar (L1-L5) • Sacrum | Musculoskeletal & craniomaxillofacial bone: • Short • Long • Flat • Sesamoid • Irregular | Musculoskeletal & craniomaxillofacial bone: • Short • Long • Flat • Sesamoid • Irregular | Anatomical Location (s) | Spinal anatomy: • Thoracic (T1-T12) • Lumbar (L1-L5) • Sacrum | Musculoskeletal & craniomaxillofacial bone: • Short • Long • Flat • Sesamoid • Irregular | Musculoskeletal & craniomaxillofacial bone: • Short • Long • Flat • Sesamoid • Irregular | |
| Acorn 3DP Model is an additively manufactured physical replica of the virtual 3D model generated in Acorn Segmentation. The output file from Acorn Segmentation is used to additively manufacture the Acorn 3DP Model. The Acorn 3D Trajectory Automation contains dedicated fully automatic algorithms for planning pedicle screw trajectories. The algorithms are only intended to be used for the thoracic and lumbar regions of the spine (T1-T12 and L1-L5). The output file from Acorn 3D Trajectory Automation contains information relevant to pedicle screw placement surgery, including entry points, end points, and screw sizes of planned screws. | Acorn 3DP Model is an additively manufactured physical replica of the virtual 3D model generated in Acorn Segmentation. The output file from Acorn Segmentation is used to additively manufacture the Acorn 3DP Model. | |
| Technological characteristics | Acorn 3D Software is a standalone modular software package. This software package includes, but is not limited to, the following functions: Image import • Importing medical images in DICOM format (e.g. CT and CTA) Image Processing • Processing of images with common noise-reduction filters • Editing of spatial arrangement of images Visualization • Viewing images and DICOM data Segmentation • Selecting a region of interest using generic segmentation tools • Segmenting specific anatomy using dedicated semi-automatic tools • Segmenting specific vertebral anatomy using machine-learning-based fully automatic algorithms • Verifying and editing a region of interest Measurement • Measuring on images and 3D models Data Export • Machine-readable format (e.g. JSON and STL) • Project Files (proprietary file format specific to the software) | Acorn Segmentation is a standalone modular software package. This module includes, but is not limited to the following functions: Image Import • Importing medical images in DICOM format (e.g. CT and CTA) Image Processing • Processing of images with common noise-reduction filters • Editing of spatial arrangement of images Visualization • Viewing images and DICOM data Segmentation • Selecting a region of interest using generic segmentation tools • Segmenting specific anatomy using dedicated semi-automatic tools • Segmenting specific vertebral anatomy using machine-learning-based fully automatic algorithms • Verifying and editing a region of interest Measurement • Measuring on images and 3D models Data Export • Machine-readable format (e.g. STL) • Project Files (proprietary file format specific to the software) | Surgimap software includes the following functions: Image Import • Importing medical images in DICOM format (e.g. CT, CTA, MRI, etc.) • Standard formats (JPEG, TIFF, PNG, PPT...) Image Processing • Processing of images with common noise-reduction filters • Editing of spatial arrangement of images Visualization • Viewing images and DICOM data Segmentation • None Measurement • Measuring on images Data Export • Machine-readable format (e.g. CSV and DICOM) • Project Files (proprietary file format specific to the software) |
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| Device→Features↓ | Acorn 3D Software & 3DP Models (this submission) | Acorn 3D Software & 3DP Models (K234009) | Surgimap (K141669) |
| --- | --- | --- | --- |
| | 3D Models
• Calculating a digital 3D model and editing the model
• Smoothing a 3D model
• Importing 3D models
Treatment Planning
• Importing of third-party STLs to visualize planned interactions with anatomy as represented in DICOM images
• Generic Implants
o Pedicle Screw Implant
Other features
• Using a collection of images and masks as a training dataset for machine-learning segmentation algorithm | 3D Models
• Calculating a digital 3D model and editing the model
• Smoothing a 3D model
• Importing 3D models
Treatment Planning
• Importing of third-party STLs to visualize planned interactions with anatomy as represented in DICOM images
Other features
• Using a collection of images and masks as a training dataset for machine-learning segmentation algorithm | • Standard formats (JPG, PNG, TIFF, PDF)
3D Models
• None
Treatment Planning
• Procedures
o Wedge Osteotomy(ex:SPO,PSO)
o Opening Osteotomy
o Resect Osteotomy
o Un-Slip (i.e. spondylolisthesis correction)
o Anatomical Marker
• Generic Implants
o Screw Implant
o Reference Line for Screw
o Interbody Spacer o Freehand Rod
o SA Rod
o Coronal Free hand
• Vendor Specific Implant
o Globus Medical Spacer Template
o Globus Rod
o K2M Interbody Spacer Template
o K2M BACS Patient Specific Rod
o K2M Pre-Bent Rod Template
o K2M Screw
Other features
• Various |
| Pedicle Screw Planning | • Surgeon Inputs / Preferences
o Screw Size
o Trajectory Angle
o Tulip Position
o Breach Criteria
• Automatic Optimization
• Review against patient imaging | N/A | • Surgeon Inputs / Preferences
o Screw Size
o Trajectory Angle
o Entry and End Point
• Manual Optimization
• Review against patient imaging |
| Physical Model | The Acorn 3D Segmentation module output can be used for the fabrication of physical replicas of the output file using additive manufacturing methods. The physical replica can be used for diagnostic purposes in the field of orthopedic and musculoskeletal applications. | The Acorn Segmentation output can be used for the fabrication of physical replicas of the output file using additive manufacturing methods. The physical replica can be used for diagnostic purposes in the field of orthopedic and musculoskeletal applications. | N/A |
| Intended User | The Acorn 3D Segmentation module can be used by biomedical engineers or personnel equivalent by training or experience. Their results should be used in conjunction with expert clinical judgement.
The Acorn 3D Trajectory Automation module is intended for use by medical professionals, such as clinicians and surgeons, who are trained in spinal procedures and the interpretation of diagnostic imaging.
Be advised that the quality of medical images determines the accuracy of the 3D model in Acorn 3D Software. Scanning protocols are left to the discretion of the user; however, we recommend that industry standards are referenced and followed. Only images obtained less than six months before should be used for planning and/or evaluating treatment options. | Acorn Segmentation can be used by biomedical engineers or personnel equivalent by training or experience. Their results should be used in conjunction with expert clinical judgement.
Be advised that the quality of medical images determines the accuracy of the 3D model in Acorn 3D Software. Scanning protocols are left to the discretion of the user; however, we recommend that industry standards are referenced and followed. Only images obtained less than six months before should be used for planning and/or evaluating treatment options. | Surgimap is intended as a decision support system for persons who have received appropriate medical training, and should not be used as a sole basis for making clinical decisions pertaining to patient diagnosis, care, or management. All information derived from the software must be clinically reviewed regarding its plausibility before use in treating patients. Any derivation of the application of medical information from the program, other than the original design or intended use thereof, is not advised and considered a misuse of the software product. |
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# Performance Data
Software verification and validation were performed and documentation was provided following the "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices". This includes verification against defined requirements and validation against user needs. Both end-user validation and bench testing were performed.
The accuracy of pedicle screw geometry as well as pedicle screw trajectories created in the subject device, Acorn 3D Trajectory Automation, was assessed via bench testing. This was tested using worse-case-scenario conditions. Accuracy of the pedicle screws was compared using clinical data. Deviations were within the acceptance criteria. This shows that for planning pedicle screws and pedicle screw trajectories, Acorn 3D Trajectory Automation is substantially equivalent to the predicate device.
In conclusion, all performance testing conducted demonstrated device performance and substantial equivalence to the predicate device.
# Technological Characteristics
Acorn 3D Software is a standalone modular software package. This software package includes, but is not limited to, the following functions:
**Image import**
- Importing medical images in DICOM format (e.g., CT and CTA)
**Image Processing**
- Processing of images with common noise-reduction filters
- Editing of spatial arrangement of images
**Visualization**
- Viewing images and DICOM data
**Segmentation**
- Selecting a region of interest using generic segmentation tools
- Segmenting specific anatomy using dedicated semi-automatic tools
- Segmenting specific vertebral anatomy using machine-learning-based fully automatic algorithms
- Verifying and editing a region of interest
**Measurement**
- Measuring on images and 3D models
**Data Export**
- Output information is exported in a machine-readable format (e.g., JSON and STL)
**3D Models**
- Calculating a digital 3D model and editing the model
- Smoothing a 3D model
- Importing 3D models
**Treatment Planning**
- Importing of third-party STLs to visualize planned interactions with anatomy as represented in DICOM images
- Generic Implants
- Pedicle Screw Implant
**Other features**
- Using a collection of images and masks as a training dataset for machine-learning segmentation algorithm
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## Conclusion
The Acorn 3D Software with Trajectory Automation possesses the same intended use and technological characteristics as the predicate devices. Therefore, the Acorn 3D Trajectory Automation module is substantially equivalent for its intended use.
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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.