K221943 · 3D Lifeprints UK , Ltd. · PBF · Feb 1, 2023 · Orthopedic
Device Facts
Record ID
K221943
Device Name
EmbedMed
Applicant
3D Lifeprints UK , Ltd.
Product Code
PBF · Orthopedic
Decision Date
Feb 1, 2023
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 888.3030
Device Class
Class 2
Indications for Use
EmbedMed is intended for use as a software system and image segmentation system for the transfer of imaging information from a medical scanner such as a CT based system. The input data file is processed by the system, and the result is an output data file. This file may then be provided as digital models or used an input to an additive manufacturing portion of the system. The additive manufacturing portion of the system produces physical outputs including anatomical models and surgical guides for use in the marking of bone and/or in guiding surgical instruments in non-acute, non-joint replacing osteotomies, including the resection of bone tumors, for the appendicular skeleton. EmbedMed is also intended as a pre-operative software tool for simulating/evaluating surgical treatment options.
Device Story
EmbedMed is a software and additive manufacturing system for patient-specific orthopedic surgical planning. It accepts DICOM imaging data (CT/MRI) from clinicians. The system uses segmentation software (Simpleware Scan IP) to process scans into 3D digital models. These models are reviewed and approved by the prescribing clinician. A trained operator then uses stereolithography (SLA) 3D printing to manufacture physical anatomical models and surgical guides from medical-grade acrylate-based photopolymers. The device is used in clinical settings to assist surgeons in pre-operative planning, bone marking, and guiding surgical instruments during non-joint replacing osteotomies of the appendicular skeleton. The physical outputs are provided non-sterile and require sterilization by the user prior to surgery. The system benefits patients by providing customized surgical tools and visual aids that improve the accuracy and planning of orthopedic procedures.
Clinical Evidence
No clinical data. Substantial equivalence was demonstrated through bench testing, including design verification of coupons with worst-case features and dimensions, and validation testing using simulated use with patient scan data to confirm accuracy and performance requirements.
Technological Characteristics
System utilizes COTS software and Simpleware Scan IP for image segmentation. Physical outputs are manufactured via stereolithography (SLA) using medical-grade, acrylate-based photopolymers. Designed for non-sterile delivery; compatible with steam sterilization. Operates as a software-driven additive manufacturing workflow.
Indications for Use
Indicated for patients requiring non-acute, non-joint replacing osteotomies, including bone tumor resection, in the appendicular skeleton. Used for pre-operative simulation, anatomical modeling, and surgical guide fabrication.
Regulatory Classification
Identification
Single/multiple component metallic bone fixation appliances and accessories are devices intended to be implanted consisting of one or more metallic components and their metallic fasteners. The devices contain a plate, a nail/plate combination, or a blade/plate combination that are made of alloys, such as cobalt-chromium-molybdenum, stainless steel, and titanium, that are intended to be held in position with fasteners, such as screws and nails, or bolts, nuts, and washers. These devices are used for fixation of fractures of the proximal or distal end of long bones, such as intracapsular, intertrochanteric, intercervical, supracondylar, or condylar fractures of the femur; for fusion of a joint; or for surgical procedures that involve cutting a bone. The devices may be implanted or attached through the skin so that a pulling force (traction) may be applied to the skeletal system.
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FDA U.S. FOOD & DRUG ADMINISTRATION
February 1, 2023
3D LifePrints UK Ltd.
% Sam Murray
Principal Consultant
Olympus Regulatory Solutions
5 Seaconnet Ave
Portsmouth, Rhode Island 02871
Re: K221943
Trade/Device Name: EmbedMed
Regulation Number: 21 CFR 888.3030
Regulation Name: Single/Multiple Component Metallic Bone Fixation Appliances And Accessories
Regulatory Class: Class II
Product Code: PBF, LLZ
Dated: July 1, 2022
Received: July 5, 2022
Dear Sam Murray:
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
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K221943 - Sam Murray
Page 2
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 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-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 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-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-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,
Shumaya Ali -S
Shumaya Ali, M.P.H.
Assistant Director
DHT6C: Division of Restorative, Repair and Trauma Devices
OHT6: Office of Orthopedic Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
Indications for Use
Form Approved: OMB No. 0910-0120
Expiration Date: 06/30/2023
See PRA Statement below.
510(k) Number (if known)
K221943
Device Name
EmbedMed
Indications for Use (Describe)
EmbedMed is intended for use as a software system and image segmentation system for the transfer of imaging information from a medical scanner such as a CT based system. The input data file is processed by the system, and the result is an output data file. This file may then be provided as digital models or used an input to an additive manufacturing portion of the system. The additive manufacturing portion of the system produces physical outputs including anatomical models and surgical guides for use in the marking of bone and/or in guiding surgical instruments in non-acute, non-joint replacing osteotomies, including the resection of bone tumors, for the appendicular skeleton. EmbedMed is also intended as a pre-operative software tool for simulating/evaluating surgical treatment options.
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.*
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FORM FDA 3881 (6/20)
Page 1 of 1
PSC Publishing Services (301) 443-6740
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3D LIFE
EmbedMed
Traditional 510(k)
# 510(K) SUMMARY K221943
This 510(k) Summary is in accordance with the requirements of the Safe Medical Device Act (SMDA) of 1990. The content of this 510(k) summary is provided in conformance with 21 CFR § 807.92.
## Submitter’s Information
Name: 3D LifePrints UK Ltd.
The Innovation Hub, Alder Hey Children’s NHS Foundation Trust,
Address: Eaton Road West Derby, Liverpool Merseyside, England, L12 2AP
United Kingdom
Phone: +44 15152 86830
Henry Pinchbeck
Contact Person: CEO
Preparation Date: 27 December 2022
## Device Name
Trade Name: EmbedMed™
Common Name: Orthopedic surgical planning and instrument guides
Classification Name: Single/multiple component metallic bone fixation appliances and accessories
Regulation Number: 21 CFR § 888.3030
Regulatory Class: Class II
Product Code: PBF, LLZ
## Legally Marketed Predicate Device
Primary: 3D-Cut (K212237)
Reference: Fine Osteotomy (K193614)
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EMBED
EmbedMed
Traditional 510(k)
# Device Description
EmbedMed utilizes Commercial Off-The-Shelf (COTS) software to manipulate 3D medical images to create digital and additive manufactured, patient-specific physical anatomical models and surgical guides for use in non-joint replacing orthopedic surgical procedures for the appendicular skeleton.
Imaging data files are obtained from the surgeons for treatment planning and various patient-specific products that are manufactured with biocompatible photopolymer resins using additive manufacturing (stereolithography).
# Brief Written Description of the Device
EmbedMed receives patient specific medical imaging files from the prescribing clinician which is then then further processed. The processing includes a software program to segment the image file from 3D medical scan images and creates a patient-specific digital output. The digital output is then reviewed and approved by the prescribing clinician prior to delivery of the final outputs (physical or digital). A trained 3D LifePrints employee utilizes additive manufacturing (3D printing, SLA) to manufacture physical outputs which include anatomical models and surgical guides for use in non-joint replacing orthopedic surgical procedures for the appendicular skeleton. All outputs are provided non-sterile. All surgical guides are provided with the steps for sterilization prior to use in surgery. Anatomical models may also be provided with the steps for sterilization.
# Materials of Use
EmbedMed physical outputs are additively manufactured by SLA utilizing medical-grade, acrylate-based photopolymers.
# Intended Use
EmbedMed is intended for use as a software system and image segmentation system, for the transfer of imaging information from a medical scanner such as a CT based system. The input data file is processed by the system, and the result is an output data file that is then used as input to an additive manufacturing portion of the system. The additive manufacturing portion of the system produces physical outputs including anatomical models and surgical guides.
Anatomical models are intended to be physical replicas used for diagnostic purposes and aid in surgical planning. They are intended to be used in conjunction with other diagnostic tools and expert clinical judgment. Surgical Guides are intended to be used in surgical procedures where they aid in bone cutting, bone marking, or bone repositioning.
# Indications for Use
EmbedMed is intended for use as a software system and image segmentation system for the transfer of imaging information from a medical scanner such as a CT based system. The input data file is processed by the system, and the result is an output data file. This file may then be provided as digital models or used an input to an additive manufacturing portion of the system. The additive manufacturing portion of the system produces physical outputs including anatomical models and surgical guides for use in the marking of bone and/or in guiding surgical instruments in non-acute, non-joint replacing osteotomies, including the resection of bone tumors, for the
K221943
{5}
EmbedMed
Traditional 510(k)
appendicular skeleton. EmbedMed is also intended as a pre-operative software tool for simulating/evaluating surgical treatment options.
# Substantial Equivalence Discussion
A comparison of the similarities and differences between EmbedMed and predicate devices are provided in the table below.
K221943
Page 3 of 8
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EMBED
EmbedMed
Traditional 510(k)
Predicate Comparison
| Specification/Characteristic | Subject Device | Primary Predicate Device | Reference Predicate Device | Comparison |
| --- | --- | --- | --- | --- |
| | EmbedMed (K221943) | 3D-Cut (K212237) | Fine Osteotomy (K193614) | |
| Classification | 21 CFR 888.3030 (Primary), Class II
21 CFR 892.2050, Class II | 21 CFR 888.3030, Class II | 21 CFR 888.3030, Class II | Same |
| Product Code | PBF, LLZ | PBF | HRS, HWC, PBF | Same |
K221943
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3011F FIRING
EmbedMed
Traditional 510(k)
| Indications for Use | EmbedMed is intended for use as a software system and image segmentation system for the transfer of imaging information from a medical scanner such as a CT based system. The input data file is processed by the system, and the result is an output data file. This file may then be provided as digital models or used an input to an additive manufacturing portion of the system. The additive manufacturing portion of the system produces physical outputs including anatomical models and surgical guides for use in the marking of bone and/or in guiding surgical instruments in non-acute, non-joint replacing osteotomies, including the resection of bone tumors, for the appendicular skeleton. EmbedMed is also intended as a pre-operative software tool for simulating/evaluating surgical treatment options. | The 3D-Cut is intended to be used as a surgical instrument to assist in preoperative planning and/or in guiding the marking of bone and/or in guiding surgical instruments in non-acute, non-joint replacing osteotomies, including the resection of bone tumors, for femur, tibia and pelvis including sacrum. | Fine Osteotomy is a system intended for osteotomies, treatment of bone and joint deformities, fixation of fractures and malalignment caused by injury or disease, such as osteoarthritis, of the distal femur and proximal tibia. Specifically, - The Fine Osteotomy tibial plates are indicated for open- and closed-wedge osteotomies of the medial proximal tibia, treatment of bone and joint deformities, fractures, non-unions, and malalignment caused by injury or disease, such as osteoarthritis, of the proximal tibia. - The Fine Osteotomy femoral plates are indicated for open- and closed wedge osteotomies of the medial and lateral distal femur, treatment of bone and joint deformities, fractures, non-unions, and malalignment caused by injury or disease, such as osteoarthritis, of the distal femur. - Fine Osteotomy instrument guides are intended to assist in pre-operative planning and/or in guiding the marking of bone and/or guiding of surgical instruments in non-acute, non-joint replacing osteotomies around the knee. | Substantially Equivalent |
| --- | --- | --- | --- | --- |
K221943
Page 5 of 8
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EMBED
EmbedMed
Traditional 510(k)
| Specification/Characteristic | Subject Device | Primary Predicate Device | Reference Predicate Device | Comparison |
| --- | --- | --- | --- | --- |
| | EmbedMed (K221943) | 3D-Cut (K212237) | Fine Osteotomy (K193614) | |
| | | | Fine Osteotomy is a patient-specific device. | |
| Clinical Application | Orthopedic Surgeries | Orthopedic Surgeries | Orthopedic Surgeries | Same |
| Inputs | CT, MRI, DICOM | CT, MRI, DICOM | CT, X-ray | Same |
| Segmentation Software | Simpleware Scan IP | ITK-SNAP/Proprietary | Unknown | Substantially Equivalent |
| Outputs | Anatomical Models, Surgical Guides, Surgical planning case reports | Cutting/Marking Guides | Surgical Plates, Surgical Guides | Same |
| Materials | Anatomical models: Medical Grade Resin, acrylateSurgical guides: Medical Grade Resin, acrylate | Cutting/Marking Guides: Polyamide | Surgical Plates: Ti-6Al-4V Cutting/Marking Guides: Polyamide (Nylon-12) | Substantially Equivalent |
| Manufacturing Method | 3D printing (Additive) | 3D Printing (Additive) | 3D Printing (Additive) | Same |
| Patient Specific | Yes | Yes | Yes | Same |
| Provided Sterile | No | Unknown | No | Same |
| Sterilization Method | Steam Sterilization | Steam Sterilization | Steam Sterilization | Same |
| Provided Single Use | Yes | Yes | Yes | Same |
| Recommended Temporary fixation style | Drill free | Drill free | Unknown | Same |
K221943
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EMPHAS
EmbedMed
Traditional 510(k)
# Statement on Substantial Equivalence
EmbedMed is substantially equivalent to the legally marketed predicate device 3D-Cut (K212237) with respect to intended use, design, materials, performance, safety, effectiveness, labeling and all other applicable characteristics.
# Performance Data
Testing as described below has been performed to demonstrate the outputs of the EmbedMed manufacturing process conforms to the device specifications.
Testing performed and documented in this submission was also in accordance with FDA Guidance Document Technical Considerations for Additive Manufactured Medical Devices (December 5th, 2017).
# Biocompatibility Testing
EmbedMed was evaluated for the overall biological safety giving consideration to the following: type of patient contact and intended clinical use, potential hazards associated with the material of construction, biocompatibility data available on the 3D-printed raw material, the history of clinical use of the material of construction, manufacturing process information, and other information available according to ISO 10993-1:2018, Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process, and FDA Guidance Document Use of International Standard ISO 10993-1, "Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process."
The results of the biological risk assessment and endpoint testing confirm any associated biological safety risks are negligible. EmbedMed is considered to meet the requirements of ISO 10993-1:2018, ISO 14971:2019, and FDA Guidance Document Use of International Standard ISO 10993-1:2016, for an implant device that has short term (≤ 24 hours) contact with tissue and bone.
# Verification and Validation Testing
The performance testing performed on EmbedMed were conducted as part of formal design verification and validation. Verification testing performed on coupons, which were designed with the worst-case features and dimensions, demonstrated that the EmbedMed physical outputs meets the feature and dimensional accuracy requirements for patient-specific surgical guides and anatomical models.
The validation testing on the EmbedMed physical outputs manufactured from real patient scan data demonstrated through simulated use testing that the system produces patient-specific outputs that meet the intended use of the product and its design requirements. The testing confirmed EmbedMed physical outputs meet the requirements across the range of possible patient-specific devices.
# Clinical Studies
Clinical testing was not necessary for the demonstration of substantial equivalence.
K221943
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EMPLESA
EmbedMed
Traditional 510(k)
# Conclusion
EmbedMed has the same intended use and similar technological characteristics as the predicate device. Minor differences have been addressed by verification and validation testing and do not raise questions of safety and effectiveness, demonstrating the subject device is as safe, as effective, and performs as well as or better than the predicate device
K221943
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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.