The ShaeferH Oral Appliance is indicated for the treatment of mild to moderate obstructive sleep apnea (OSA) and/or snoring in adult patients, 18 years of age or older.
Device Story
ShaeferH is a custom-fabricated, non-powered, monoblock intraoral mandibular advancement device (MAD). Used during sleep in home environments; operated by patient after clinician-directed fitting. Device positions mandible anteriorly relative to maxilla to maintain upper airway patency. Mandibular advancement is statically established during fabrication/fitting; no dynamic adjustment mechanisms or articulated joints. Device is passive; contains no electronics, software, batteries, or wireless technology. Benefits patient by reducing OSA symptoms and snoring through mechanical airway support.
Clinical Evidence
No clinical testing was submitted, referenced, or relied upon. Substantial equivalence is based on intended use, technological characteristics, materials, and principle of operation relative to legally marketed predicate devices.
Technological Characteristics
Non-powered, monoblock intraoral appliance. Materials: thermoplastic polymer (chemically equivalent to ethylene-vinyl acetate) and thermo-responsive liner (ThermAcryl). Passive mechanical operation; no electronics, software, or external energy. Custom-fabricated for single-patient use. No articulated joints or detachable components.
Indications for Use
Indicated for treatment of mild to moderate obstructive sleep apnea (OSA) and/or snoring in adults 18 years or older.
Regulatory Classification
Identification
Intraoral devices for snoring and intraoral devices for snoring and obstructive sleep apnea are devices that are worn during sleep to reduce the incidence of snoring and to treat obstructive sleep apnea. The devices are designed to increase the patency of the airway and to decrease air turbulence and airway obstruction. The classification includes palatal lifting devices, tongue retaining devices, and mandibular repositioning devices.
Special Controls
*Classification.* Class II (special controls). The special control for these devices is the FDA guidance document entitled “Class II Special Controls Guidance Document: Intraoral Devices for Snoring and/or Obstructive Sleep Apnea; Guidance for Industry and FDA.”
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FDA U.S. FOOD & DRUG ADMINISTRATION
April 10, 2026
Shaeferh, LLC
Andy Cheung
Dentist
45 Stuart St.
2501
Boston, Massachusetts 02116
Re: K252942
Trade/Device Name: ShaeferH
Regulation Number: 21 CFR 872.5570
Regulation Name: Intraoral Devices For Snoring And Intraoral Devices For Snoring And Obstructive Sleep Apnea
Regulatory Class: Class II
Product Code: LRK, LQZ
Dated: September 15, 2025
Received: September 15, 2025
Dear Andy Cheung:
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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K252942 - Andy Cheung
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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 Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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 Management System Regulation (QMSR) (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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K252942 - Andy Cheung
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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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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K252942 | ? |
| Please provide the device trade name(s). | | ? |
| ShaeferH | | |
| Please provide your Indications for Use below. | | ? |
| The ShaeferH Oral Appliance is indicated for the treatment of mild to moderate obstructive sleep apnea (OSA) and/or snoring in adult patients, 18 years of age or older. | | |
| Please select the types of uses (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) #: K252942 | 510(k) Summary | Prepared on: 2026-03-13 |
| --- | --- | --- |
| Contact Details | | 21 CFR 807.92(a)(1) |
| Applicant Name | ShaeferH LLC | |
| Applicant Address | 45 Stuart St 2501 Boston MA 02116 United States | |
| Applicant Contact Telephone | 415-672-8286 | |
| Applicant Contact | Dr. Andy Cheung | |
| Applicant Contact Email | andycheungdmd@gmail.com | |
| Device Name | | 21 CFR 807.92(a)(2) |
| Device Trade Name | ShaeferH | |
| Common Name | Intraoral devices for snoring and intraoral devices for snoring and obstructive sleep apnea | |
| Classification Name | Device, Anti-Snoring | |
| Regulation Number | 872.5570 | |
| Product Code(s) | LRK | |
| Legally Marketed Predicate Devices | | 21 CFR 807.92(a)(3) |
| Predicate # | Predicate Trade Name (Primary Predicate is listed first) | Product Code |
| K203606 | Serena Sleep Block Mandibular Advancement | LRK |
| Device Description Summary | | 21 CFR 807.92(a)(4) |
| The ShaeferH Oral Sleep Appliance is a prescription, custom-fabricated, single-patient, reusable intraoral mandibular advancement device intended for use during sleep.
The device is designed as a monoblock oral appliance that positions the mandible anteriorly relative to the maxilla to help maintain upper airway patency during sleep. Mandibular advancement is established through clinician-directed fitting and adjustment performed outside of patient use. Once fitted, the device passively maintains the selected mandibular position during use.
The ShaeferH Oral Sleep Appliance is a non-powered device and does not contain electrical components, software, batteries, wireless technology, or active heating elements. The device is fabricated from medical-grade polymeric materials suitable for prolonged intraoral mucosal contact and is intended for single-patient use in a home sleep environment. | | |
| Intended Use/Indications for Use | | 21 CFR 807.92(a)(5) |
| The ShaeferH Oral Appliance is indicated for the treatment of mild to moderate obstructive sleep apnea (OSA) and/or snoring in adult patients, 18 years of age or older. | | |
| Indications for Use Comparison | | 21 CFR 807.92(a)(5) |
| The indications for use of the ShaeferH Oral Appliance are the same as those of the identified predicate device, as both are intended for the reduction or alleviation of mild to moderate obstructive sleep apnea (OSA) and/or snoring by repositioning the mandible during sleep.
The ShaeferH Oral Appliance incorporates a clinician-established mandibular positioning interface that represents an alternative design approach for achieving mandibular repositioning. This design difference does not alter the intended therapeutic purpose of the device and does not constitute a new intended use. | | |
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Technological Comparison
21 CFR 807.92(a)(6)
The ShaeferH Oral Appliance has technological characteristics that are similar to those of the identified predicate device(s) in terms of overall design, principle of operation, and intended function. Both the subject device and the predicate device(s) are non-powered, intraoral mandibular advancement devices that reposition the mandible anteriorly during sleep to maintain upper airway patency. The subject device and the predicate device(s) share the same fundamental principle of operation, relying on mechanical mandibular repositioning without the use of electronics, software, or external energy sources. Both devices are custom-fabricated intraoral appliances intended for single-patient use and are retained through adaptation to the patient's oral anatomy. The ShaeferH Oral Appliance incorporates a clinician-directed titration mechanism that differs in implementation from that of the predicate device(s) but serves the same functional purpose of setting and maintaining mandibular advancement. This difference represents an alternative technological approach to achieving mandibular repositioning and does not alter the device's principle of operation, clinical function, or intended patient population. A detailed comparison of technological characteristics, including design features, materials (at a non-confidential level), adjustment mechanisms, and indications for use, is provided in the attached Substantial Equivalence Comparison Table
Non-Clinical and/or Clinical Tests Summary & Conclusions 21 CFR 807.92(b)
No device-level nonclinical mechanical performance testing was conducted for this submission.
The ShaeferH Oral Sleep Appliance is a passive, monoblock intraoral mandibular advancement device without articulated joints, detachable components, mechanical connectors, dynamic adjustment mechanisms, or powered features. Mandibular positioning is statically established during fabrication or fitting and remains fixed during patient use.
The device is fabricated from a thermoplastic polymer that is chemically equivalent to ethylene-vinyl acetate (EVA), supported by legally marketed reference device K121365, and incorporates a thermo-responsive liner material (ThermAcryl), a Class I, 510(k)-exempt dental material used strictly in accordance with the manufacturer's instructions.
The fabrication process does not introduce solvents, primers, adhesives, or chemical bonding agents, and does not introduce detachable joints, hinges, or user-actuated adjustment mechanisms.
Based on comparison to the primary predicate device (K203606), and the absence of new mechanical principles or novel structural features, the subject device does not introduce technological characteristics that would require additional device-specific mechanical performance testing beyond comparison to legally marketed devices of this type.
Not Applicable.
No clinical testing was submitted, referenced, or relied upon to support a determination of substantial equivalence. The subject device is a passive intraoral mandibular advancement appliance, and substantial equivalence was evaluated based on intended use, technological characteristics, materials, and principle of operation relative to legally marketed predicate devices of this type.
No nonclinical or clinical performance testing was conducted for this submission.
The ShaeferH Oral Sleep Appliance is a passive, non-powered, monoblock intraoral mandibular advancement device that operates through static mandibular repositioning established during fabrication or fitting.
The technological characteristics, materials, and principle of operation are consistent with those of legally marketed intraoral mandibular advancement appliances, including the primary predicate device (K203606).
Based on material equivalence, passive configuration, and comparison to legally marketed devices of this type, the subject device does not introduce new questions of safety or effectiveness.
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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.