K230044 · Lazarus 3D · LLZ · May 26, 2023 · Radiology
Device Facts
Record ID
K230044
Device Name
Pre-Sure
Applicant
Lazarus 3D
Product Code
LLZ · Radiology
Decision Date
May 26, 2023
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device, Pediatric
Indications for Use
The Pre-Sure software system is intended for use as a software interface and image segmentation system for the transfer of DICOM imaging information from a medical scanner to an output file. It is also intended as pre-operative software for surgical planning. For this purpose, the output file may be used to produce a physical replica. The physical replica is intended for adjunctive use along with other diagnostic tools and expert clinical judgment for diagnosis, patient management, and/or treatment selection of genitourinary, cardiovascular, neurological, respiratory, musculoskeletal, gastrointestinal, craniofacial, and pediatric applications.
Device Story
Pre-Sure system processes patient radiological data (DICOM) to create digital patient models ('Digital Twins'). Process involves image segmentation and analysis performed by Lazarus 3D or affiliates with physician input. Digital Twins serve as input for 3D printing of physical patient models. Physical models consist of silicone (suturable, bleed-capable) and hard plastic (drillable, screw-accepting) materials. Used by clinicians for surgical planning, training, and education. Physical models provide tactile, anatomical replicas for adjunctive use in clinical decision-making. Benefits include enhanced visualization and rehearsal of complex procedures across multiple medical specialties.
Clinical Evidence
Bench testing only. Studies evaluated production process accuracy, digital/physical model fidelity, build envelope orientation, and material bonding. Complex models for all indicated clinical applications (genitourinary, cardiovascular, neurological, respiratory, musculoskeletal, gastrointestinal, craniofacial, pediatric) were manufactured and volumetrically compared against digital designs using CT scanning. Results confirmed that all models met pre-established accuracy and integrity criteria.
Technological Characteristics
System utilizes image segmentation and 3D printing. Materials include silicone and hard plastics. Connectivity involves DICOM transfer. Software performs image processing and segmentation to generate digital designs for physical replication. No specific algorithm architecture or energy source details provided beyond standard radiological image processing.
Indications for Use
Indicated for patients requiring pre-operative surgical planning and physical anatomical models for diagnosis, patient management, or treatment selection across genitourinary, cardiovascular, neurological, respiratory, musculoskeletal, gastrointestinal, craniofacial, and pediatric 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).
{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 consists of the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue text.
Lazarus 3D % Elisa Maldonado-Holmertz RA Consultant Obelix Consulting, LLC 806 JEFFERSON ST. BASTROP TX 78602
May 26, 2023
Re: K230044
Trade/Device Name: Pre-Sure Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ Dated: May 2, 2023 Received: May 4, 2023
Dear Elisa Maldonado-Holmertz:
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 (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 located 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.
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
{1}------------------------------------------------
801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 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 4. Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 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-regulatoryassistance/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 DHT8B: Division of Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K230044
Device Name Pre-Sure
#### Indications for Use (Describe)
The Pre-Sure software system is intended for use as a software interface and image segmentation system for the transfer of DICOM imaging information from a medical scanner to an output file. It is also intended as pre-operative software for surgical planning. For this purpose, the output file may be used to produce a physical replica is intended for adjunctive use along with other diagnostic tools and expert clinical judgment for diagnosis, patient management, and/or treatment selection of genitourinary, cardiovascular, neurological, respiratory, musculoskeletal, gastrointestinal, craniofacial, and pediatric applications.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
| <div> <span> <span style="font-size:16px">☒</span> Prescription Use (Part 21 CFR 801 Subpart D) </span> </div> |
|--------------------------------------------------------------------------------------------------------------------|
| <div> <span> <span style="font-size:16px">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
#### 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."
{3}------------------------------------------------
Image /page/3/Picture/0 description: The image is a logo for Lazarus 3D. The logo consists of a stylized square shape on the left, with the words "LAZARUS 3D" in bold, black letters to the right of the shape. Below the company name is the tagline "Operate with Confidence" in a smaller, sans-serif font.
# Section 005 - 510(k) Summary
K230044
#### INTRODUCTION
This document contains the 510(k) summary for the Pre-Sure device. The content of this summary is based on the requirements of 21 CFR 807.92.
# SUBMISSION SPONSOR
| Name: | Lazarus 3D, Inc. | |
|-----------------------------------|----------------------------------------|--|
| Address: | 421 Water Ave. NE.<br>Albany, OR 97321 | |
| Phone: | (541) 760 1805 | |
| Contact Name: | Dr. Smriti Zaneveld | |
| Contact Email: | Smriti@laz3D.com | |
| Additional Contact: | Dr. Jacques Zaneveld | |
| Additional Email: | Zaneveld@laz3D.com | |
| Submission Correspondent<br>Name: | Obelix Consulting, LLC | |
| Address: | 806 Jefferson St.<br>Bastrop, TX 78602 | |
| Phone: | (512) 431 6069 | |
| Contact Name: | Elisa Maldonado-Holmertz | |
| Contact Email: | elisamh@obelixconsult.com | |
Date Prepared:11/28/2022
{4}------------------------------------------------
Image /page/4/Picture/0 description: The image is a company logo for Lazarus 3D. The logo consists of a stylized square shape on the left, with the words "LAZARUS 3D" in bold, black letters to the right of the square. Below the company name is the phrase "Operate with Confidence" in a smaller, lighter font. The square shape is made up of two curved lines, one in blue and one in orange, that create a three-dimensional effect.
#### Device Identification
Type of 510(k) Submission: Traditional
Trade Name: Pre-Sure
- Common Name: System, Image Processing, Radiological
- Regulation Description: Medical Image Management and Processing System
Regulation Number: 21 CFR 892.2050
Product Code: LLZ
Class of Device: II
Review Panel: Radiology
Reason for Submission: New device
Prior Related Submissions: K201835
Multiple Devices: None
#### 1. LEGALLY MARKETED PREDICATE DEVICE
The Preoperative Surgical Rehearsal (Pre-Sure) device is claimed to be substantially equivalent to the following legally marketed device:
- . Pre-Sure, Lazarus 3D, Inc. (K201835).
#### 2. DEVICE DESCRIPTION
The Pre-Sure patient modeling system is a method for the creation of patient models. Importantly, and unlike other 3D modeling systems, in the Pre-Sure process the design and production of patient models is performed by Lazarus 3D or its affiliates (with physician input), and not by the End User. The Pre-Sure software process is FDA cleared for the analysis of patient radiological data to create a digital patient design, referred to as a "Digital Twin". Digital Twins can be used by End Users, when viewed in an appropriately cleared viewing program, for a variety of uses including training, education, and surgical planning.
Patient specific Digital Twins may be further used as an input to a 3D printing-based production process performed by Lazarus 3D. This process creates physical patient models,
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image contains the logo for Lazarus 3D. The logo consists of a stylized square shape with rounded corners, colored in a gradient from blue to orange, placed to the left of the text "LAZARUS 3D" in bold, black letters. Below the company name is the tagline "Operate with Confidence" in a smaller, lighter font.
referred to as Pre-Sure models. Each individual patient's model can be created rapidly from the patient's radiological data. The resulting physical models of patient anatomy are primarily composed of silicone materials that can be sutured, and in some cases can even bleed, and of hard plastic materials that can be sawed, drilled, and can accept screws.
End Users of the Preoperative Surgical Rehearsal (Pre-Sure) device receive digital and/or physical patient anatomical models from Lazarus 3D. Digital models may be viewed by End Users using any program cleared for their intended use. The physical models are intended for adjunctive use along with other diagnostic tools and expert clinical judgment for diagnosis, patient management, and/or treatment selection for genitourinary, cardiovascular, craniofacial, gastrointestinal, neurological, musculoskeletal, respiratory, and pediatric applications.
# 3. INDICATIONS FOR USE
The Pre-Sure software system is intended for use as a software interface and image segmentation system for the transfer of DICOM imaging information from a medical scanner to an output file. It is also intended as pre-operative software for surgical planning. For this purpose, the output file may be used to produce a physical replica. The physical replica is intended for adjunctive use along with other diagnostic tools and expert clinical judgment for diagnosis, patient management, and/or treatment selection of genitourinary, cardiovascular, neurological, respiratory, musculoskeletal, gastrointestinal, craniofacial and pediatric applications.
# 4. SUBSTANTIAL EQUIVALENCE DISCUSSION
Pre-Sure employs identical fundamental technologies as the identified predicate device (which is an earlier version of Pre-Sure technology). These fundamental technologies include:
- Viewing of medical imaging data in the axial, coronal, and sagittal views.
- Ability to process, review and analyze medical imaging data
- •Seamless production of a physical model of the patient's anatomy from the digital design.
- Use of the physical model by the end-user for diagnosis, patient management and/or treatment selection.
- · Opportunity to use the physical model for surgical rehearsals.
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image contains the logo for Lazarus 3D. The logo consists of a stylized square shape with rounded corners, colored in a gradient from blue to orange. To the right of the square is the text "LAZARUS 3D" in bold, black letters. Below the company name is the tagline "Operate with Confidence".
Two changes are included in the subject device. First, the subject version of Pre-Sure may use both silicone materials and hard plastic materials in models, while plastic materials were not used in predicate models. Second, while the predicate was only cleared for genitourinary applications, the subject device may be used for cardiovascular, neurological, respiratory, musculoskeletal, gastrointestinal, craniofacial and pediatric applications. Rigorous testing and investigation indicate that the present device has similar performance, intended use, and nearly identical technological characteristics as the predicate device, and raises no new questions regarding its safety or efficacy.
#### Comparison to Legally Marketed Device:
| Manufacturer | Subject Device | Predicate Device | Significant Differences |
|---------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Lazarus 3d, Inc. | Lazarus 3d, Inc. | |
| Trade Name | Pre-Sure | Pre-Sure | None |
| 510(k) Number | - | K201835 | - |
| Product Code | LLZ | LLZ | None |
| Regulation Number | 892.2050 | 892.2050 | None |
| Regulation Name | Medical Image<br>Management and<br>Processing System | Medical Image Management<br>and Processing System | None |
| Common Name | System, Image Processing,<br>Radiological | System, Image Processing,<br>Radiological | None |
| Indications for Use | The Pre-Sure software is<br>intended for use as a<br>software interface and<br>image segmentation<br>system for the transfer of<br>DICOM imaging<br>information from a<br>medical scanner to an<br>output file. It is also<br>intended as pre-operative<br>software for surgical<br>planning. For this purpose,<br>the output file may be<br>used to produce a physical<br>replica. The physical<br>replica is intended for<br>adjunctive use and other<br>diagnostic tools and<br>expert clinical judgment | The Pre-Sure software is<br>intended for use as a<br>software interface and image<br>segmentation system for<br>transferring DICOM imaging<br>information from a medical<br>scanner to an output file. It is<br>also intended as pre-<br>operative software for<br>surgical planning. For this<br>purpose, the output file may<br>be used to produce a<br>physical replica. The physical<br>replica is intended for<br>adjunctive use along with<br>other diagnostic tools and<br>expert clinical judgment for<br>diagnosis, patient<br>management and/or | Nearly identical, except the<br>subject device is only<br>intended for use in<br>genitourinary applications,<br>while the predicate device is<br>intended for use in<br>cardiovascular, neurological,<br>respiratory, musculoskeletal,<br>gastrointestinal, craniofacial<br>and pediatric applications. |
#### Table 12A – Device Comparison Chart: Similarities and Differences
{7}------------------------------------------------
Image /page/7/Picture/0 description: The image shows a stylized logo with a square shape formed by two curved bands. The left and bottom portions of the band are colored in shades of blue, while the top and right portions transition to shades of orange. The overall design is modern and abstract, suggesting a sense of connection or flow.
Image /page/7/Picture/1 description: This image is a table that describes the material and sterility of different products. The first column describes the use of the product for diagnosis, patient management, and treatment selection of cardiovascular, neurological, respiratory, musculoskeletal, gastrointestinal, craniofacial, and pediatric applications. The second column describes the use of the product for treatment selection of genitourinary applications. The table also lists the material and sterility of each product.
# 5. NON-CLINICAL PERFORMANCE DATA
The following performance data were provided in support of the substantial equivalence determination:
# Production Process Accuracy Study
The purpose of this accuracy study was to evaluate the accuracy of Pre-Sure patient model production processes. Models of various dimensions were created using Pre-Sure from computer models with dimensions pre-defined in silico. Comparisons were made between the physical models created using Pre-Sure and the in-silico input data, revealing that measurements fell within predefined acceptance criteria.
# Digital and Physical Model Accuracy Study
The purpose of this accuracy study was to compare results from the entire Pre-Sure workflow to those of the predicate device. MRI and CT scan input data from actual cases were analyzed using the predicate and subject devices to create 3D computer models and physical models of the patient anatomy. These models were then compared, revealing that measurements fell within predefined acceptance criteria.
#### Build Envelope Testing - Accuracy Validation
The purpose of this study is to define where on the 3D printer, and in what orientation, models can be produced in sufficient accuracy for the intended use. Models of
{8}------------------------------------------------
Image /page/8/Picture/0 description: The image is a logo for Lazarus 3D. The logo consists of a square shape with rounded corners that is split into two colors, orange and blue. To the right of the shape is the text "LAZARUS 3D" in a bold, sans-serif font. Below the text is the tagline "Operate with Confidence".
genitourinary conditions were built using 3D prints from different locations the 3D printer build plate, and in different orientations. Results show that sufficient accuracy can be achieved for models to be built in any orientation or position on the 3D printer.
#### Materials Testing - Accuracy Validation
The purpose of this study is to test the accuracy and bonding of the range of materials included in the build envelope for Pre-Sure physical patient models were produced for genitourinary conditions using combinations of the most difficult to use materials within the Pre-Sure build envelope. Testing shows that all material combinations produce models of sufficient accuracy for the intended use. Additionally, all tested materials bond well with all other tested materials and thus can be used together to form multi-material patient models.
# Testing on Especially Challenging Genitourinary Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex models for genitourinary applications. Multiple replicates were produced for several different genitourinary conditions. Designs were selected for difficulty, with highly complex designs being used for testing. The resulting physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate that the Pre-Sure 3D manufacturing can reproduce complex genitourinary conditions with sufficient accuracy for the intended use.
# Testing on Especially Challenging Cardiovascular Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex models for cardiovascular applications. Multiple replicates were produced for several different cardiovascular conditions. Designs were selected for difficulty, with highly complex designs being used for testing. The resulting physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate that the Pre-Sure 3D manufacturing can reproduce complex cardiovascular conditions with sufficient accuracy for the intended use.
# Testing on Especially Challenging Neurological Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex models for neurological applications. Multiple replicates were produced for several different neurological conditions. Designs were selected for difficulty, with highly complex designs being used for testing. The resulting physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate
{9}------------------------------------------------
Image /page/9/Picture/0 description: The image is a logo for Lazarus 3D. The logo consists of a square shape with rounded corners that is colored in a gradient of blue and orange. To the right of the square is the text "LAZARUS 3D" in a bold, sans-serif font. Below the company name is the tagline "Operate with Confidence".
that the Pre-Sure 3D manufacturing can reproduce complex neurological conditions with sufficient accuracy for the intended use.
#### Testing on Especially Challenging Respiratory Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex models for respiratory applications. Multiple replicates were produced for several different respiratory conditions. Designs were selected for difficulty, with highly complex designs being used for testing. The resulting physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate that the Pre-Sure 3D manufacturing can reproduce complex respiratory conditions with sufficient accuracy for the intended use.
#### Testing on Especially Challenging Musculoskeletal Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex musculoskeletal models. Multiple replicates of models for several different musculoskeletal conditions that are difficult to produce for a variety of reasons were manufactured. These physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate that the Pre-Sure 3D manufacturing can reproduce complex musculoskeletal conditions with sufficient accuracy for the intended use.
# Testing on Especially Challenging Gastrointestinal Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex gastrointestinal models. Multiple replicates of models for several different gastrointestinal conditions that are difficult to produce for a variety of reasons were manufactured. These physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate that the Pre-Sure 3D manufacturing can reproduce complex gastrointestinal conditions with sufficient accuracy for the intended use.
# Testing on Especially Challenging Craniofacial Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex craniofacial models. Multiple replicates of models for several different craniofacial conditions that are difficult to produce for a variety of reasons were manufactured. These physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate that the Pre-Sure 3D manufacturing can reproduce complex craniofacial conditions with sufficient accuracy for the intended use.
{10}------------------------------------------------
Image /page/10/Picture/0 description: The image shows the logo for Lazarus 3D. The logo consists of a square shape with rounded corners that is colored in a gradient from blue to orange. To the right of the shape is the text "LAZARUS 3D" in a bold, sans-serif font. Below the company name is the text "Operate with Confidence".
#### Testing on Especially Challenging Pediatric Cases
The purpose of this study is to test the accuracy of the subject production process when creating complex pediatric models. Multiple replicates of models for several different pediatric conditions that are difficult to produce for a variety of reasons were manufactured. These physical models were analyzed using a CT scanner and volumetrically compared against the digital design. Results indicate that the Pre-Sure 3D manufacturing can reproduce complex pediatric conditions with sufficient accuracy for the intended use.
#### Testing on Hard and Soft Pre-Sure Material Bonding
The purpose of this study is to test if the bonding of hard and soft materials used in combination in Pre-Sure models is sufficient for them to maintain their integrity and accuracy during shipping and when used as intended. Many models with worst case designs and materials were subjected to a force in the worst case direction and orientation. Models were then measured to determine if they were damaged as a result of the force applied. Results indicate that the Pre-Sure models containing both hard and soft materials are sufficiently robust to maintain their integrity and accuracy during shipping and when used as intended.
#### Summary
All performance testing which was conducted as a result of risk analysis and design impact assessments showed conformity to pre-established specifications and acceptance criteria. The acceptance criteria were established in order to demonstrate the device performance and substantial equivalence to the predicate device.
# 6. STATEMENT OF SUBSTANTIAL EQUIVALENCE
Based on a comparison of the intended use and technological characteristics, the Pre-Sure device is substantially equivalent to the identified predicate device. Minor differences in technological characteristics and scope did not raise new or different questions of safety and effectiveness. Additionally, the validation data supports that the system performs in accordance with its intended use and is substantially equivalent to the predicate device.
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.