ShiNeo Silicone Implant is intended for the augmentation or reconstruction of the nasal and/or chin contour.
Device Story
ShiNeo Silicone Implant is a sterile, single-use silicone elastomer device used in facial surgery. It is available in various shapes and sizes for nasal and chin augmentation; it can be carved or cut by a surgeon to fit individual patient anatomy. The device is intended for soft tissue augmentation where soft silicone is appropriate. It is used by surgeons in a clinical setting. The implant provides structural support to enhance or reconstruct facial contours, potentially improving patient aesthetics.
Clinical Evidence
No clinical data provided. The device is identical to the predicate device; no performance testing was required to demonstrate substantial equivalence.
Technological Characteristics
Silicone elastomer implant for nasal and chin augmentation. Provided in various shapes and sizes; carveable/cuttable. Sterilized by gamma radiation. Single-use.
Indications for Use
Indicated for patients requiring augmentation or reconstruction of nasal and/or chin contours.
Regulatory Classification
Identification
Ear, nose, and throat synthetic polymer material is a device material that is intended to be implanted for use as a space-occupying substance in the reconstructive surgery of the head and neck. The device is used, for example, in augmentation rhinoplasty and in tissue defect closures in the esophagus. The device is shaped and formed by the suregon to conform to the patient's needs. This generic type of device is made of material such as polyamide mesh or foil and porous polyethylene.
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12/23/2022 Shineo Technology Co., Ltd Wan-Chun Lai CEO 5f. 207-4. Xinshu Road., New Taipei City, New Taipei City 24262 Taiwan
## Re: K222748
Trade/Device Name: ShiNeo Silicone Implant Regulation Number: 21 CFR 874.3620 Regulation Name: Ear, nose, and throat synthetic polymer material Regulatory Class: Class II Product Code: MIB, LZK, FWP Dated: October 9, 2022 Received: October 25, 2022
## Dear Wan-Chun Lai:
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 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
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801); medical device 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-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 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-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-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, Deborah A. Fellhauer -S
Deborah Fellhauer Assistant Director DHT4B: Division of Infection Control and Plastic Surgery Devices OHT4: Office of Surgical and Infection Control 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
510(k) Number (if known)
K222748
Device Name ShiNeo Silicone Implant
Indications for Use (Describe)
ShiNeo Silicone Implant is intended for the augmentation of the nasal and/or chin contour
Type of Use (Select one or both, as applicable)
|X Prescription Use (Part 21 CFR 801 Subpart D)
--- Over-The-Counter Use (21 CFR 801 Subpart C)
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# 510(k) SUMMARY
## Submitter's Name, Address, Telephone Number, Contact Person
Address: SHINEO TECHNOLOGY CO., LTD Office address: 5F, 207-4, Xinshu Rd.,New Taipei City, 24262 Taiwan 10642, TAIWAN (R.O.C.) Tel: (O) +886 (02)22021511 Fax numbers:+886 (02)22020331
## Contact Person Name and Address:
Name: Chiao-Min Chang Title: Regulatory Affairs E-mail: cherryamigo46@gmail.com Office address: 5F, 207-4, Xinshu Rd.,New Taipei City, 24262 Taiwan 10642, TAIWAN (R.O.C.) Tel: (O) +886 963361392
## Alternate Contact:
Name: Leo Huang Title: General manager Office address: 5F, 207-4, Xinshu Rd.,New Taipei City, 24262 Taiwan 10642, TAIWAN (R.O.C.) Tel: (O) +886 (02)22021511 E-mail: oscar@shineotech.com
Date Summary Prepared: September 01, 2022 Type of submission: Traditional 510k
| Proprietary/Trade name | ShiNeo Silicone Implant |
|-------------------------|-------------------------|
| Common or Usual Name: | MIB |
| Primary Product code: | |
| Additional Product code | LZK, FWP |
| Regulation Number: | 874.3620 |
## 1. Device Name and Classification
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| Regulation Description: | Ear, nose, and throat synthetic polymer material. |
|--------------------------|-----------------------------------------------------------------------------------------------------|
| Review Panel: | General & Plastic Surgery |
| Device Class: | II |
| Manufacturer information | Name: SHINEO TECHNOLOGY CO., LTD<br>Address: 5F, 207-4, Xinshu Rd.,New Taipei City,<br>24262 Taiwan |
## 2. Predicate Device(s)
| Proprietary/Trade name | BioSiCar Silicone Implant<br>K193392 |
|------------------------------------------------|-----------------------------------------------------------------------------------------------------|
| Common or Usual Name:<br>Primary Product code: | MIB |
| Additional Product code | LZK, FWP |
| Regulation Number: | 874.3620 |
| Regulation Description: | Ear, nose, and throat synthetic polymer material. |
| Review Panel: | General & Plastic Surgery |
| Device Class: | II |
| Manufacturer information | Name: SHINEO TECHNOLOGY CO., LTD<br>Address: 5F, 207-4, Xinshu Rd.,New Taipei City,<br>24262 Taiwan |
## 3. Device Description
ShiNeo Silicone Implant is a silicone implant used in facial surgery as nasal and/or chin implants. The ShiNeo Silicone Implant offers two major shapes to meet the needs in nasal and chin locations. The devices are also provided in various sizes and can be carved or cut to fit each patient. The ShiNeo Silicone Implant is individually packaged and sterilized by gamma radiation and is labeled for single use. ShiNeo Silicone Implant is ideal for use in soft tissue augmentation where the use of a soft silicone elastomer is appropriate.
## 4. Intended Use / Indications for Use
ShiNeo Silicone Implant is intended for the augmentation or reconstruction of the nasal and/or chin contour.
## 5. Substantial Equivalence
The ShiNeo Silicone Implant is identical to the predicate device and is as safe and
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effective as the BioSiCar Silicone Implant. The Subject device has the same intended uses and indications, technological characteristics, principles of operation and manufactory process as its predicate device. There are no technological differences between the Subject device and its predicate devices resulting in no new issues of safety or effectiveness. Thus, the ShiNeo Silicone Implant is identical/substantially equivalent to the predicate device.
| • Indications for use | • FDA product codes |
|--------------------------------|--------------------------------------|
| • Design intent | • Material formulation |
| • Classification | • Manufacturing Process |
| • Physico- chemical properties | • Sterilization process/Method/ Dose |
The subject and primary predicate devices are identical in the following ways:
#### 6. Performance Data
The subject and predicate devices are identical and therefore, no performance testing is necessary to demonstrate substantial equivalence. This submission is to apply for a new trade name to the predicate device, BioSiCar Silicone Implant, K193392. Metalware Technology Corp, the submitter of K193392 has authorized SHINEO TECHNOLOGY CO., LTD. as the manufacturer legally authorized to market the predicate device. No new testing was provided.
#### 7. Conclusions:
The ShiNeo Silicone Implant has the same intended uses, indications, technological characteristics, principles of operation and manufactory process as its predicate device. Thus, the subject device is identical/substantially equivalent to the predicate device.
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.