Training: 80% of 2852 CR and 1903 CT datasets; Development: 10% of 2852 CR and 1903 CT datasets; Testing: 10% of 2852 CR and 1903 CT datasets
—
External validation: 347 unique datasets
>1 (labelers)
Detection
—
MAP >= 90%, Precision >= 85%, Recall >= 90%
—
Training: 80% of 2852 CR and 1903 CT datasets; Development: 10% of 2852 CR and 1903 CT datasets; Testing: 10% of 2852 CR and 1903 CT datasets
—
External validation: 198 unique datasets
>1 (labelers)
Indications for Use
PeekMed web is a system designed to help healthcare professionals carry out pre-operative planning for several surgical procedures, based on their imported patients' imaging studies. Experience in usage and a clinical assessment is necessary for the proper use of the system in the revision and approval of the output of the planning. The multi-platform system works with a database of digital representations related to surgical materials supplied by their manufacturers. This medical device consists of a decision support tool for qualified healthcare professionals to quickly and efficiently perform the pre-operative planning for several surgical procedures, using medical imaging with the additional capability of planning the 2D or 3D environment. The system is designed for the medical specialties within surgery and no specific use environment is mandatory, whereas the typical use environment is a room with a computer. The patient target group is adult patients who have an injury or disability diagnosed previously. There are no other considerations for the intended patient population.
Device Story
PeekMed web is a cloud-based decision support software for orthopedic pre-operative planning. It ingests medical imaging (X-ray, CT) to provide 2D/3D visualization, automated bone segmentation, landmarking, and classification. Surgeons use the system to overlay digital templates of prosthetic materials onto patient anatomy to simulate and plan surgical procedures. The software operates on standard web browsers in clinical environments. It produces a final planning report containing measurements, selected templates, and procedural information. By facilitating precise pre-surgical visualization and template positioning, the device assists surgeons in optimizing surgical strategy, potentially improving procedural efficiency and patient outcomes. The system requires clinical assessment and revision by a qualified healthcare professional to approve the final plan.
Clinical Evidence
Bench testing only. Performance of ML models (segmentation, landmarking, classification, detection) was validated using independent datasets (2852 CR, 1903 CT). Segmentation DICE >= 90%, HD-95 <= 8; Landmarking MRE <= 7mm; Classification Accuracy >= 90%; Detection MAP >= 90%. Validation confirmed generalization across diverse patient demographics and imaging equipment.
Technological Characteristics
Cloud-based software; distributed system architecture. Functions as a medical image management and processing system. Utilizes ML models for automated segmentation, landmarking, classification, and detection. Requires internet connection. Platform-agnostic (web browser-based).
Indications for Use
Indicated for adult patients with previously diagnosed injury or disability requiring pre-operative surgical planning. Used by qualified healthcare professionals for orthopedic planning in hip, knee, upper limb, and foot procedures.
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, there is a symbol representing the Department of Health & Human Services. To the right, there is the FDA logo in blue, followed by the words "U.S. FOOD & DRUG" in a larger font and "ADMINISTRATION" in a smaller font below it, also in blue. The logo is clean and professional, reflecting the organization's role in regulating food and drugs.
Peek Health, S.A. Sara Silva Chief Quality Officer (CQO) Centro de Negócios Ideia Atlântico, Rua Padres Carmelitas Braga, 4719-005 Portugal
March 19, 2025
Re: K250042
Trade/Device Name: PeekMed web Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: QIH, LLZ Dated: January 8, 2025 Received: January 8, 2025
Dear Sara Silva:
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.
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"
{1}------------------------------------------------
(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 (OS) 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-device-advicecomprehensive-regulatory-assistance/unique-device-identification-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-device-safety/medical-device-reportingmdr-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/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 DHT8B: Division of Radiological Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{3}------------------------------------------------
# Indications for Use
Submission Number (if known)
K250042
Device Name
PeekMed web
Indications for Use (Describe)
PeekMed web is a system designed to help healthcare professionals carry out pre-operative planning for several surgical procedures, based on their imported patients' imaging studies. Experience in usage and a clinical assessment is necessary for the proper use of the system in the revision and approval of the output of the planning.
The multi-platform system works with a database of digital representations related to surgical materials supplied by their manufacturers.
This medical device consists of a decision support tool for qualified healthcare professionals to quickly and efficiently perform the pre-operative planning for several surgical procedures, using medical imaging with the additional capability of planning the 2D or 3D environment. The system is designed for the medical specialties within surgery and no specific use environment is mandatory, whereas the typical use environment is a room with a computer. The patient target group is adult patients who have an injury or disability diagnosed previously. There are no other considerations for the intended patient population.
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 shows the logo for PeekMed. The logo features a stylized, three-dimensional cube shape in a teal color. Within the cube, there is a white eye shape, suggesting a focus on vision or medical imaging. Below the cube, the text "PeekMed" is written in a simple, sans-serif font, also in teal.
# 510(k) summary
This 510(k) summary of safety and effectiveness is being submitted in accordance with the requirements of 21 CFR 807.92.
## 1. Submitter
Peek Health, S.A. Centro de Negócios Ideia Atlântico Rua Padres Carmelitas 4719-005 Braga Portugal
| Contact Person: | Sara Silva<br>Chief Quality Officer (CQO) |
|-----------------|-------------------------------------------|
| | |
| Email: | sara.silva@peekmed.com |
| Office number: | + 351 253 128 941 |
Date Summary Prepared: March 17, 2025
#### 2. Device
#### 2.1 PeekMed web
| Trade Name: | PeekMed web |
|-----------------------|------------------------------------------------------------------|
| Common or Usual Name: | Medical image management and processing system |
| Classification Name: | System, Image Processing, Radiological<br>(21 C.F.R. § 892.2050) |
| Regulatory Class: | Class II |
| Product Code: | QIH, LLZ |
## 3. Legally Marketed Predicate Device
#### 3.1 PeekMed web
| 510(k) | Product Name | Clearance Date |
|---------|--------------|------------------|
| K240926 | PeekMed web | December 6, 2024 |
{5}------------------------------------------------
Image /page/5/Picture/1 description: The image shows the logo for PeekMed. The logo features a stylized, geometric shape in blue, resembling a cube with a section cut out to reveal a white eye in the negative space. Below the geometric shape, the text "PeekMed" is written in a simple, sans-serif font, also in blue.
## 4. Device Description Summary
PeekMed web is a system designed to help healthcare professionals carry out pre-operative planning for several surgical procedures, based on their imported patients' imaging studies. Experience in usage and a clinical assessment is necessary for the proper use of the system in the revision and approval of the output of the planning.
The multi-platform system works with a database of digital representations related to surgical materials supplied by their manufacturers.
As PeekMed web is capable of representing medical images in a 2D or 3D environment, performing relevant measurements on those images, and also capable of adding templates, it then can perform a total overview of the surgery. Being software it does not interact with any part of the body of the user and/or patient.
## 5. Intended Use/Indications for Use
PeekMed web is a system designed to help healthcare professionals carry out pre-operative planning for several surgical procedures, based on their imported patients' imaging studies. Experience in usage and a clinical assessment is necessary for the proper use of the system in the revision and approval of the output of the planning.
The multi-platform system works with a database of digital representations related to surgical materials supplied by their manufacturers.
This medical device consists of a decision support tool for qualified healthcare professionals to quickly and efficiently perform the pre-operative planning for several surgical procedures, using medical imaging with the additional capability of planning the 2D or 3D environment. The system is designed for the medical specialties within surgery and no specific use environment is mandatory, whereas the typical use environment is a room with a computer. The patient target group is adult patients who have an injury or disability diagnosed previously. There are no other considerations for the intended patient population.
## 5.1. Contraindications
No contraindications specific to this device.
{6}------------------------------------------------
Image /page/6/Picture/1 description: The image shows the logo for PeekMed. The logo is a stylized, geometric shape in blue, resembling a cube with a section cut out to form the shape of an eye. Below the geometric shape, the word "PeekMed" is written in a simple, sans-serif font, also in blue. The logo is clean and modern, suggesting a focus on vision or medical imaging.
## 5.2 Indications for Use Comparison
There are NO differences between the indications for use of this device and its predicate.
## 6. Technological Comparison to Predicate
PeekMed web was compared to its respective predicate device in intended use, indications for use, design, function, and technology and it was demonstrated that they are substantially equivalent. Any technological differences within this 510(k), between the subject device and the predicate device, do not impact substantial equivalence, or safety and effectiveness.
The subject device and its predicate are both medical software that allows healthcare professionals to perform orthopedic pre-surgical planning efficiently in the musculoskeletal system of adults in a healthcare environment, therefore sharing the same intended user and intended patient population. To properly and fully use both devices, clinical judgment, and experience are mandatory.
Both devices have the same workflows, use requirements (e.g., internet connection, output validation), and planning features (e.g., model representation, digital overlap of prosthetic material, possible 2D and 3D environments). Both devices generate a final report of the planning which consists of the selected images with templates, measurements, and textual information describing the patient and/or the surgical procedure to be performed.
{7}------------------------------------------------
Image /page/7/Picture/1 description: The image shows the logo for PeekMed. The logo is a stylized blue square with a white eye in the center. Below the logo, the word "PeekMed" is written in blue font. The logo is simple and modern.
### Table 1: Summary of Predicate and Subject Device Characteristics to Demonstrate Substantial Equivalence
| Characteristic | PeekMed web<br>Predicate device K240926 | PeekMed web<br>Subject device | Substantially<br>Equivalent? | Justification and rationale |
|------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | QIH, LLZ | LLZ, QIH | Yes | --- |
| Regulation<br>Number | 21 CFR 892.2050 | 21 CFR 892.2050 | Yes | --- |
| Regulation Name | Medical Image Management And<br>Processing System | Medical Image Management And<br>Processing System | Yes | --- |
| Intended<br>use/Indications for<br>use | PeekMed web is a system designed to<br>help healthcare professionals carry out<br>pre-operative planning for several surgical<br>procedures, based on their imported<br>patients' imaging studies. Experience in<br>usage and a clinical assessment is<br>necessary for the proper use of the<br>system in the revision and approval of the<br>output of the planning. The multi-platform<br>system works with a database of digital<br>representations related to surgical<br>materials supplied by their manufacturers.<br>This medical device consists of a decision<br>support tool for qualified healthcare<br>professionals to quickly and efficiently<br>perform the pre-operative planning for<br>several surgical procedures, using<br>medical imaging with the additional | PeekMed web is a system designed to<br>help healthcare professionals carry out<br>pre-operative planning for several surgical<br>procedures, based on their imported<br>patients' imaging studies. Experience in<br>usage and a clinical assessment is<br>necessary for the proper use of the system<br>in the revision and approval of the output<br>of the planning. The multi-platform system<br>works with a database of digital<br>representations related to surgical<br>materials supplied by their manufacturers.<br>This medical device consists of a decision<br>support tool for qualified healthcare<br>professionals to quickly and efficiently<br>perform the pre-operative planning for<br>several surgical procedures, using medical<br>imaging with the additional capability of | Yes | --- |
| Characteristic | PeekMed web<br>Predicate device K240926 | PeekMed web<br>Subject device | Substantially<br>Equivalent? | Justification and rationale |
| | capability of planning the 2D or 3D<br>environment. The system is designed for<br>the medical specialties within surgery and<br>no specific use environment is mandatory,<br>whereas the typical use environment is a<br>room with a computer. The patient target<br>group is adult patients who have an injury<br>or disability diagnosed previously. There<br>are no other considerations for the<br>intended patient population. | planning the 2D or 3D environment. The<br>system is designed for the medical<br>specialties within surgery and no specific<br>use environment is mandatory, whereas<br>the typical use environment is a room with<br>a computer. The patient target group is<br>adult patients who have an injury or<br>disability diagnosed previously. There are<br>no other considerations for the intended<br>patient population. | | |
| Contraindications | No contraindications specific to this<br>device. | No contraindications specific to this device | Yes | --- |
| Clinical purpose | PeekMed web allows the surgeon to<br>perform orthopedic pre-surgical planning<br>efficiently in the musculoskeletal system<br>(e.g., Hip procedures, Knee procedures) | PeekMed web allows the surgeon to<br>perform orthopedic pre-surgical planning<br>efficiently in the musculoskeletal system<br>(e.g., Hip procedures, Knee procedures) | Yes | --- |
| Anatomical regions | PeekMed web allows the surgeon to<br>perform the pre-surgical planning<br>efficiently in the following anatomical<br>regions:<br>- Hip<br>- Knee<br>- Upper limb<br>- Foot | PeekMed web allows the surgeon to<br>perform the pre-surgical planning efficiently<br>in the following anatomical regions:<br>- Hip<br>- Knee<br>- Upper limb<br>- Foot | Yes | --- |
| Patient Population | Adults | Adults | Yes | --- |
| Characteristic | PeekMed web<br>Predicate device K240926 | PeekMed web<br>Subject device | Substantially<br>Equivalent? | Justification and rationale |
| End users | Healthcare Professionals | Healthcare Professionals | Yes | --- |
| Device availability | Software is cloud-based (not installable)<br>and can be displayed on any personal<br>device or workstation that can run on a<br>web browser | Software is cloud-based (not installable)<br>and can be displayed on any personal<br>device or workstation that can run on a<br>web browser | Yes | --- |
| Software<br>Architecture | Distributed system (cloud-based). This<br>distributed system is a combination of<br>software modules placed on servers that<br>are able to communicate with each other. | Distributed system (cloud-based). This<br>distributed system is a combination of<br>software modules placed on servers that<br>are able to communicate with each other. | Yes | --- |
| Workflow | The workflow is as follows: Import case<br>images, configure images, identify the<br>case, pre-surgical planning, and export<br>the case. | The workflow is as follows: Import case<br>images, configure images, identify the<br>case, pre-surgical planning, and export the<br>case. | Yes | --- |
| Internet connection | Required | Required | Yes | --- |
| Images source | Receives medical images from various<br>sources | Receives medical images from various<br>sources | Yes | --- |
| Data processing | The software processes data to provide<br>an overlap and dimensioning of digital<br>representations of the prosthetic material | The software processes data to provide an<br>overlap and dimensioning of digital<br>representations of the prosthetic material | Yes | --- |
| Digital overlap of<br>templates | Allows the overlap of models and the<br>intersection of the models | Allows the overlap of models and the<br>intersection of the models | Yes | --- |
| Interactive model<br>positioning | Yes | Yes | Yes | --- |
| Interactive model | Yes | Yes | Yes | --- |
| Characteristic | PeekMed web<br>Predicate device K240926 | PeekMed web<br>Subject device | Substantially<br>Equivalent? | Justification and rationale |
| dimensioning | | | | |
| Model rotation | Yes | Yes | Yes | --- |
| Support for digital<br>prosthetic<br>materials provided<br>by the<br>manufacturers | Yes | Yes | Yes | --- |
| Pre-surgical<br>planning | Yes | Yes | Yes | --- |
| Type of<br>pre-surgical<br>planning | Automatic or Manual | Automatic or Manual | Yes | --- |
| Contact with the<br>patient | No | No | Yes | --- |
| Control of life<br>supporting devices | No | No | Yes | ---…
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.