Orthodontic model analysis and treatment simulation
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Indications for Use
The Laon Ortho is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options based on 3Dmodels of the patient’s dentition before the start of an orthodontic treatment. The use of the Laon Ortho requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software.
Device Story
Laon Ortho is PC-based software for virtual orthodontic setup using digital impressions. Inputs include 3D surface scans (STL), CT image data (DICOM), and 2D overlays (PNG, JPG, BMP). Software performs automatic segmentation of crown and gum, model analysis, and treatment simulation. Used in clinics by orthodontists; assists in diagnosis, treatment planning, and CAD design. Output is a virtual 3D dental model and treatment plan. Facilitates clinical decision-making by providing tools for systematic inspection, tooth movement planning, and virtual appliance design. Benefits include improved efficiency in orthodontic procedure preparation.
Clinical Evidence
No clinical data. Bench testing only; software verification and validation performed per FDA guidance. Performance testing confirmed all functions meet design criteria and operate without errors.
Technological Characteristics
PC-based standalone software. Inputs: STL, DICOM, 2D image formats. Features: automatic crown/gum segmentation, dental arch analysis, tooth measurement, Bolton's analysis, space analysis, overjet/overbite calculation, occlusal mapping, and 3D treatment simulation. Supports manual and automatic simulation modes.
Indications for Use
Indicated for orthodontic patients requiring management of dental models, inspection, analysis, treatment simulation, and virtual appliance design prior to orthodontic treatment.
Regulatory Classification
Identification
An orthodontic plastic bracket is a plastic device intended to be bonded to a tooth to apply pressure to a tooth from a flexible orthodontic wire to alter its position.
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FDA U.S. FOOD & DRUG ADMINISTRATION
April 23, 2025
LAON MEDI Inc.
Mina Yun
Quality Management Representative (QMR)
60 Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840
C-504
Gwacheon-si, Gyeonggi-do 13840
SOUTH KOREA
Re: K250198
Trade/Device Name: Laon Ortho
Regulation Number: 21 CFR 872.5470
Regulation Name: Orthodontic Plastic Bracket
Regulatory Class: Class II
Product Code: PNN, LLZ
Dated: January 23, 2025
Received: January 23, 2025
Dear Mina Yun:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K250198 - Mina Yun
Page 2
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-
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K250198 - Mina Yun
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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,
MICHAEL E. ADJODHA -S
Michael E. Adjodha, MChE, RAC, CQIA
Assistant Director
DHT1B: Division of Dental and ENT Devices
OHT1: Office of Ophthalmic, Anesthesia, Respiratory, ENT, and Dental 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: 07/31/2026
See PRA Statement below.
Submission Number (if known)
K250198
Device Name
Laon Ortho
Indications for Use (Describe)
The Laon Ortho is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options based on 3Dmodels of the patient’s dentition before the start of an orthodontic treatment.
The use of the Laon Ortho requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software.
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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K250198
LAON MEDI
C-504, 60, Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840, Republic of Korea
+82 2 507 8990 | qna@laon-medi.com | https://laonmedi.io/
# 510(k) Summary
[As required by 21 CFR 807.92]
1. Date Prepared [21 CFR 807.92(a)(a)]
Jan 23, 2025
2. Submitter's Information & Contact Person [21 CFR 807.92(a)(1)]
- Name of Manufacturer: LAON MEDI Inc.
- Address: C-504, 60, Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840, Republic of Korea / Tel: +82 2 507 8990
- Contact Name: Mina Yun
- Telephone No.: +82 2 507 8993
- Fax No.: +82 2 507 8997
- Email Address: may@laon-medi.com
3. Trade Name, Common Name, Classification [21 CFR 807.92(a)(2)]
Trade name: Laon Ortho
| Classification Description | 21 CFR Section | Product Code |
| --- | --- | --- |
| Orthodontic Software | 872.5470 | PNN |
| System, Image Processing, Radiological | 892.2050 | LLZ |
As stated in 21 CFR, parts 872.5470 and 892.2050, this generic types of devices has been classified as Class II.
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LAON MEDI
C-504, 60, Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840, Republic of Korea
+82 2 507 8990 | qna@laon-medi.com | https://laonmedi.io/
4. Identification of Predicate Device(s) [21 CFR 807.92(a)(3)]
The identified predicate devices within this submission are shown as follow:
Predicate device #1
- 510(k) Number: K232564
- Applicant: LAON MEDI Inc.
- Classification Name: Orthodontic Software
- Trade Name: Align Studio
Predicate device #2
- 510(k) Number: K180941
- Applicant: 3Shape A/S
- Classification Name: Orthodontic Software
- Trade Name: Ortho System
5. Description of the Device [21 CFR 807.92(a)(4)]
Laon Ortho is a PC-based software that sets up virtual orthodontics via digital impressions. It automatically segments the crown and the gum in a simple manner and provides basic model analysis to assist digital orthodontic procedures.
6. Indications for Use [21 CFR 807.92(a)(5)]
The Laon Ortho is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options based on 3Dmodels of the patient's dentition before the start of an orthodontic treatment.
The use of the Laon Ortho requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software.
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LAON MEDI
C-504, 60, Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840, Republic of Korea
+82 2 507 8990 | qna@laon-medi.com | https://laonmedi.io/
# 7. Determination of Substantial Equivalence [21 CFR 807.92(a)(6) and 21 CFR 807.92(b)]
There are no significant differences between Laon Ortho and the predicate devices that would adversely affect the use of the product. It is substantially equivalent to this device in design, function, and technical characteristics.
| | Proposed Device | Predicate Device #1 | Predicate Device #2 | SE Decision |
| --- | --- | --- | --- | --- |
| K Number | - | K232564 | K180941 | - |
| Manufacturer | LAON MEDI Inc. | LAON MEDI Inc. | 3Shape A/S | - |
| Model | Laon Ortho | Align Studio | Ortho System | - |
| Intended Use | The Laon Ortho is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options based on 3Dmodels of the patient's dentition before the start of an orthodontic treatment.The use of the Laon Ortho requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software. | The Align Studio is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options based on 3Dmodels of the patient's dentition before the start of an orthodontic treatment.The use of the Align Studio requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software. | Ortho System™ for dental retainers and dental cast for sequential aligners is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options based on 3D models of the patient's dentition before the start of an orthodontic treatment.The use of the Ortho System™ requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software. | Same as predicate devices |
| Module | Imports scanned image of patient | Imports scanned image of patient | Imports scanned image of patient | Same as predicate devices |
| | Stand-alone software module | Stand-alone software module | Stand-alone software module | |
| | Can be used to design dental casts | Can be used to design dental casts | Can be used to design dental casts | |
| | Useful for diagnosis, treatment planning, and CAD design | Useful for diagnosis, treatment planning, and CAD design | Useful for diagnosis, treatment planning, and CAD design | |
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LAON MEDI
C-504, 60, Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840, Republic of Korea
+82 2 507 8990 | qna@laon-medi.com | https://laonmedi.io/
| | Virtual planning of tooth movement | Virtual planning of tooth movement | Virtual planning of tooth movement | |
| --- | --- | --- | --- | --- |
| | Supports .stl files | Supports .stl files | Supports .stl files | |
| Managing patient and case base data | Creating, editing, deleting and copying patient data | Creating, editing, deleting and copying patient data | Creating, editing, deleting and copying patient data | Same as predicate devices |
| | Creating, editing, deleting and copying case data | Creating, editing, deleting and copying case data | Creating, editing, deleting and copying case data | |
| Collection of study material | Surface scan from STL file | Surface scan from STL file | Surface scan from STL file | Same as predicate device #2 |
| | CT image data(DICOM) | CT image data(DICOM) | CT image data(DICOM) | |
| | 2D overlay(PNG, JPG, BMP) | - | 2D overlay(PNG, JPG, BMP) | |
| | Creation of virtual 3D virtual dental models | Creation of virtual 3D virtual dental models | Creation of virtual 3D virtual dental models | |
| Alignment of study material | Aligning surface scan or CT image | Aligning surface scan or CT image | Aligning surface scan or CT image | Same as predicate device #2 |
| | Aligning cephalometric images | Aligning cephalometric images | Aligning cephalometric images | |
| | Alignment of 2D overlays | - | Alignment of 2D overlays | |
| | Ability to check/adjust DICOM visibility | Ability to check/adjust DICOM visibility | Ability to check/adjust DICOM visibility | |
| Analyzing study material | Definition of dental Arch shape & length | Definition of dental Arch shape & length | Definition of dental Arch shape & length | Same as predicate device #1 |
| | - | - | Wire length | |
| | Tooth width measurements | Tooth width measurements | Tooth width measurements | |
| | Tooth and gingiva separation/segmentation | Tooth and gingiva separation/segmentation | - | |
| | Bolton's analysis | Bolton's analysis | Bolton's analysis | |
| | Space analysis | Space analysis | Space analysis | |
| | Overjet/overbite | Overjet/overbite | Overjet/overbite | |
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LAON iMEDI
C-504, 60, Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840, Republic of Korea
+82 2 507 8990 | qna@laon-medi.com | https://laonmedi.io/
| | Occlusal mapping | Occlusal mapping | Occlusal mapping | |
| --- | --- | --- | --- | --- |
| Treatment simulation | - | - | 2D simulation | Same as predicate device #1 |
| | 3D simulation | 3D simulation | 3D simulation | |
| Treatment Planning Workflow | Manual Mode | Manual Mode | Manual Mode | Similar |
| | Automatic Simulation Mode | - | - | |
| Similar
The device proposed for 510(k) is Laon Ortho, a modification of the predicate device Align Studio (K232564, cleared on March 12, 2024). The proposed device includes the addition of an Automatic Simulation Mode.
However, this change doesn’t alter the existing workflow. The results of the verification and validation (V&V) testing showed that the Automatic Mode achieves the same treatment planning as the existing workflow. Therefore, this change does not affect substantially equivalence on safety and effectiveness. | | | | |
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LAON MEDI
C-504, 60, Gwacheon-daero 7na-gil, Gwacheon-si, Gyeonggi-do, 13840, Republic of Korea
+82 2 507 8990 | qna@laon-medi.com | https://laonmedi.io/
## Non-Clinical Test Summary [21 CFR 807.92(b)(1)]
### 1) Software Validation
Laon Ortho contains Basic Documentation Level software. Software was designed and developed according to a software development process and was verified and validated. The software information is provided in accordance with FDA guidance: Content of premarket submissions for Device Software Functions, on November 04, 2021.
### 2) Performance Testing
Through the performance test, it was confirmed that Laon Ortho meets all performance test criteria and that all functions work without errors. Test results support the conclusion that actual device performance satisfies the design intent and is equivalent to its predicate device.
## Clinical Test Summary [21 CFR 807.92(b)(2)]
Not Applicable
## Conclusion [21 CFR 807.92(b)(3)]
Based on a comparison of intended use, indications, principle of operations, features and technical data, and the test results, the Laon Ortho is found to be as safe and as effective as the predicate device. Intended use and performance is found to be substantially equivalent to the predicate device, Align Studio (K232564) from LAON MEDI Inc. and Ortho System (K180941) from 3Shape A/S.
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Part 1 — Search, results, and everyday workflows 16 min
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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.
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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
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Reading rule for every project: how many summaries do you read in full?
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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.
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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.
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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.
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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.
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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.
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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.