Automatic dental and craniomaxillofacial image segmentation
Automatic segmentation algorithm powered by Relu Engine
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Indications for Use
Relu Creator is a software program for the management, transfer, and analysis of dental and craniomaxillofacial image information, and can be used to provide design input for dental solutions. It displays and enhances digital images from various sources to support the diagnostic process and treatment planning. It stores and provides these images within the system or across computer systems at different locations.
Device Story
Relu Creator is a web-based software for dental/craniomaxillofacial preoperative planning. It imports medical images (CBCT, IOS, FS) to perform 3D modeling via image segmentation and multi-model registration. The device transforms these inputs into 3D anatomical models, which serve as design input for dental solutions. Used by dental specialists for treatment planning in orthodontics, implantology, and maxillofacial surgery. The software enhances digital images and provides outputs in STL, DICOM, PLY, and OBJ formats. It facilitates clinical decision-making by providing accurate 3D anatomical representations for simulation and planning, potentially improving treatment precision and patient outcomes.
Clinical Evidence
Bench testing only. Software validation and performance testing were conducted to verify that the device performs according to its intended use. No clinical data was required or presented.
Technological Characteristics
Web-based software application. Performs 3D modeling via image segmentation and multi-model registration. Inputs: CBCT, IOS, FS image files. Outputs: STL, DICOM, PLY, OBJ. Features automatic segmentation algorithm (Relu Engine). Operates on standard IT hardware/OS environments.
Indications for Use
Indicated for dental and craniomaxillofacial image management, transfer, and analysis to support diagnostic and treatment planning processes in dental disciplines including orthodontics, implantology, and maxillofacial surgery.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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June 13, 2024
Image /page/0/Picture/1 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health and Human Services logo on the left and the FDA logo on the right. The FDA logo includes a blue square with the letters "FDA" in white, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Relu BV % Breanne Butler Regulatory Specialist Prime Path Medtech 1321 Upland Dr., Suite 6792 HOUSTON, TX 77043
Re: K233925
Trade/Device Name: Relu Creator Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: QIH Dated: May 15, 2024 Received: May 15, 2024
Dear Breanne Butler:
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" (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).
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Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-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,
Smita Kakar 2024.06.13
15:30:48 -04'00'
for
Lu Jiang Assistant Director DHT8B: Division of Radiologic Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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### Indications for Use
Submission Number (if known)
K233925
Device Name
Relu Creator
Indications for Use (Describe)
Relu Creator is a software program for the management, transfer, and analysis of dental and craniomaxillofacial image information, and can be used to provide design input for dental solutions. It displays and enhances digital images from various sources to support the diagnostic process and treatment planning. It stores and provides these images within the system or across computer systems at different locations.
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)
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510(k) #: K233925
510(k) Summary
Prepared on: 2024-06-13
## Contact Details
### 21 CFR 807.92(a)(1)
21 CFR 807.92(a)(5)
| Applicant Name | Relu BV |
|---------------------------------|-----------------------------------------------------------|
| Applicant Address | Kapeldreef 60 Leuven 3001 Belgium |
| Applicant Contact Telephone | +32 476 04 30 5 |
| Applicant Contact | Mr. Holger Willems |
| Applicant Contact Email | holger.willems@relu.eu |
| Correspondent Name | Prime Path Medtech |
| Correspondent Address | 1321 Upland Dr. Suite 6792 Houston TX 77043 United States |
| Correspondent Contact Telephone | 860-810-5594 |
| Correspondent Contact | Dr. Breanne Butler |
| Correspondent Contact Email | bbutler@primepathmedtech.com |
21 CFR 807.92(a)(2)
| Device Name | |
|---------------------|------------------------------------------------|
| Device Trade Name | Relu Creator |
| Common Name | Medical image management and processing system |
| Classification Name | Medical image management and processing system |
| Regulation Number | 892.2050 |
| Product Code | QIH |
21 CFR 807.92(a)(3)
Legally Marketed Predicate Devices
| Predicate # | Predicate Trade Name (Primary Predicate is listed first) | Product Code |
|-------------|----------------------------------------------------------|--------------|
| K213562 | DTX Studio Clinic 3.0 | LLZ |
21 CFR 807.92(a)(4)
Device Description Summary
The Relu Creator is a software that is part of the digital workflow of dental specialists in preoperative planning. The main purpose is the3D modeling of the patient anatomy, which is technically called image segmentation and multimodel registration. Based on the model, simulations for preoperative and pretreatment planning can be caried out for dental applications. The 3D modeling (segmentation + registration) is performed on medical images like CBCT, IOS and FS. The preoperative/pretreatment software can be applied in various dental disciplines such as orthodontics, implantology, and maxillofacial surgery.
# Intended Use/Indications for Use
Relu Creator is a software program for the management, transfer, and analysis of dental and craniomaxillofacial image information, and can be used to provide design input for dental solutions. It displays and enhances digital images from various sources to support the
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diagnostic process and treatment planning. It stores and provides these images within the system or across computer systems at different locations.
# Indications for Use Comparison
21 CFR 807.92(a)(5)
Based on the comparison, the indications of use of the Subject Device is similar to that of the Predicate Device. There are two differences between the indications for use of the Subject Device and Predicate Device.
One difference is in the scope of activities of Relu Creator when compared to DTX Studio includes the acquisition, management, transfer, and analysis of dental and craniomaxillofacial image information. Relu creator includes only management, transfer, and analysis of dental and craniomaxillofacial image information. Relu Creator does not include the acquisition of image information.
Additionally, the indication for Relu Creator applies generally to dental solutions, rather than only to dental restorative solutions. This is because Relu Creator can be used to process image in the dental and craniomaxillofacial area for any treatment in that region.
Based on the similarity of indication for use, the Subject Device can be considered substantially equivalent to the Predicate Device.
# Technological Comparison
Based on the comparisons, the design, construction, and performance characteristics of the Subject Device are similar to that of the Predicate Devices.
The differences identified are not substantial differences in operation of the device.
Input Data: The subject device does not acquire image data, whereas the predicate device includes features for image acquisition. Otherwise, the types of imaging file data imported to the subject device are similar to the inputs of the predicate device. Both include image file types that are commonly used in the dental industry (CBCT, IOS, and FS).
Output Data: The subject device provides outputs in several formats (STL, DICOM, PLY, OBJ) that are commonly for dental and craniomaxillofacial treatment planning applications. The predicate device offers outputs in additionally, the predicate device provide treatment planning outputs. The subject device is intended for processing of dental and craniomaxillofiacial imaging data as an input to the treatment planning process.
Image Processing: The subject device has the same general image processing features as the predicate device. However, the subject device does not include volume or surface area measurements.
Automatic Segmentation Algorithm: Relu Creator includes an automatic segmentation algorithm, which is powered by Relu Engine. The predicate device also includes a similar automatic volume segmentation algorithm.
OS/Hardware/T Requirements: The Minimum OS, Hardware, and IT Requirements of the Subject Device are similar to that of the Predicate Device. Relu Creator is available in beb-application formats. The differences between the predicate and subject device account for differences in the development framework used, but do not impact the intended use or application of the devices.
There are no other substantial differences between the technical requirements between the Subject and Predicate Devices.
#### Non-Clinical and/or Clinical Tests Summary & Conclusions 21 CFR 807.92(b)
The Subject Device has passed testing for appropriate verification and performed per its intended use. Therefore, it can be substantially equivalent to its Predicate Devices.
Based on the performance testing and software validation testing, the Subject Device, has been shown to be appropriate for its indications for use and is as safe and as effective than the legally marketed Predicate Device, DTX Studio 3.0 (K213562), There are no substantial differences between the indications for use, technological features, or performance testing of the Subject and Predicate Device.
### 21 CFR 807.92(a)(6)
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.