PortView is indicated for use in acquiring images of patient teeth. It is intended for intra oral x-ray examinations and produces instant, digital, intra-oral x-ray images of a patient's teeth for diagnosis of diseases of the teeth and oral structures. The digital x-ray sensor system, PortView consists of Image acquisition part as an Intraoral Sensor and Image processing Software which provides functions such as Image acquisition, store, and search and connects to Network. And the software can also display images from intra oral video cameras.
Device Story
PortView is a digital intra-oral X-ray sensor system used in dental radiography. It captures X-ray inputs via a scintillating device (Cesium Iodide) coupled to a CMOS light detection imager. The sensor connects via USB 2.0 to a PC or laptop. Accompanying software processes, stores, and searches images; provides enhancement, zoom, rotation, and measurement tools; and supports DICOM 3.0. The system is operated by dental professionals in a clinical setting to assist in diagnosing oral diseases. The output is a digital image displayed on a monitor, which aids the clinician in clinical decision-making and patient diagnosis.
Clinical Evidence
Bench testing only. Performance data included compliance with IEC 60601-1 (safety) and IEC 60601-1-2 (EMC). No clinical study data was required or provided to support the substantial equivalence determination.
Technological Characteristics
Digital intra-oral sensor using Cesium Iodide (CsI) scintillator and CMOS imager. USB 2.0 PC interface. Dynamic range 4096:1. Software supports DICOM 3.0, image enhancement, and measurement. Operates on Windows XP or higher with minimum Intel Pentium Dual-Core 2.5GHz, 1GB RAM. Sterilization not specified.
Indications for Use
Indicated for acquiring digital intra-oral X-ray images of patient teeth for diagnosis of diseases of the teeth and oral structures.
Regulatory Classification
Identification
An extraoral source x-ray system is an AC-powered device that produces x-rays and is intended for dental radiographic examination and diagnosis of diseases of the teeth, jaw, and oral structures. The x-ray source (a tube) is located outside the mouth. This generic type of device may include patient and equipment supports and component parts.
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K130088
Page 1 of 4
#### 510(k) Summary Exhibit 5
Date of Summary Preparation: Dec 21, 2012
# JUL 1 8 2013
| 1. | Submitter and US Official Correspondent | |
|----|-----------------------------------------|-----------------------------|
| | Submitter: | GENORAY Co., Ltd. |
| | Address: | #512, Byucksan Technopia |
| | | 434-6. Sangdaewon 1-dong. |
| | | Jungwon-gu, Seongnam-city |
| | | Gyeonggi-do, 462-716, Korea |
| | Telephone No.: | +82-31-740-4100 |
| | Fax: | +82-31-737-8018 |
Official Correspondent (U.S): Jae Kim - Business Manager
| Correspondent : | GENORAY America Inc. |
|-----------------|----------------------------------------------|
| Address: | 1073 N, Batavia St.<br>Orange, CA 92867, USA |
| Telephone No.: | 855-436-6729 |
| Fax: | 714-786-8919 |
| Email: | jac@genorayamerica.com |
- 2. Establishment Registration Number 3005843418
#### ਤੇ . Device Information
Proprietary/Trade Name: Digital x-ray sensor system / PortView Common/Usual Name: Digital x-ray sensor system / Intraoral X-ray sensor system Classification Name: Digital x-ray sensor(Intraoral sensor) system to capture Extraoral X-ray source Product Codc: MUH
Device Class: Class II per regulation 21 CFR 872.1800
- 4. Equivalent Legally Marketed Device
| Company | Device Name | K-Number |
|---------------------------|-----------------------------------------------|----------|
| Schick Technologies. Inc. | Schick Computed Oral Radiology System.<br>CDR | K072134 |
| Edlen Imaging LLC | Gemini DUSB | K103290 |
{1}------------------------------------------------
#### 5. Description of the Device
The digital x-ray sensor system, Port View produces instant, digital, intra-oral x-ray images of a patient's mouth for diagnosis of the tecth and oral structures. It consists of digital intraoral sensors and image processing software as followings.
Digital Intraoral sensor: is an indirect light converting digital X-ray detector. Incident X-rays are converted to visible light by a scintillating device. (material) such as Csl(Cesium lodide), the light is coupled optically to a light detection imager which is based on CMOS technology. The sensor supports USB 2.0 Direct connectivity to personal computers and or laptops.
Image processing software; provides various functions such as Image acquisition. Image scarch, Image Processing including Enhancement. 21) analysis (Zoom. Rotate, and Measurement) and Image Printing & Saving and DICOM 3.0 application.
It can operate on any hardware platform which mects the minimum requirements that Intel Pentium Dual-Core 2.5GHz with Windows XP operating system.
| Items | Product | PortView |
|-------------------|----------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Manufacturer | GENORAY Co., Ltd. |
| | Product Name | PortView |
| | 510(k) No. | |
| | Implementation | Software and Sensor |
| | Indications for use | PortView is indicated for use in acquiring<br>images of patient teethes. It is intended for<br>intra oral x-ray examinations and<br>produces instant, digital, intra-oral x-ray<br>images of a patient's mouth for diagnosis<br>of diseases of the teeth and oral structures. |
| | Size<br>(mm) | Size1: 36.73 X 24.35<br>Size2: 42.8 X 30.49 |
| Intra oral sensor | Active Arca<br>(mm²) | Size1: 600<br>Size2: 900 |
| | Technology | CMOS |
| | Interface to PC | USB 2.0 |
| | Dynamic Range | 4096:1 |
| | Cable length(m) | 3 |
| | Specification | 1. Software name : PortView<br>2. Software version : 1.0<br>3. File size : 100MB<br>4. Language : C++<br>5. DICOM 3.0 Support |
| | CPU | Intel Pentium Dual-Core 2.5GHz(E5200) or<br>higher |
| | Memory | 1GB or higher |
| Software | HDD | 10GB or higher (Client)<br>100GB or higher |
| | VGA | Onboard chipset or higher |
| | OS | Windows XP or higher |
| | DICOM<br>Compliance | DICOM 3.0 |
| | IMAGE ARCHIVE | DCM, BMP, JPG, PNG |
| | WINDOWING | Adjust the Window width and level for<br>contrast windowing parameters. |
{2}------------------------------------------------
#### Indications for use/ Rationale for Substantial Equivalence Q.
The PortView is to be used as a digital intra oral sensor system of X-rays in Dental radiography.
The PortView shares the same indication for use, materials, design, operational and functional features and is therefore substantially equivalent to the predicate devices listed above No.4.
There are many independent manufacturers of intraoral s-ray dental radiography svstems in the United States today. One is Schick Computed Oral Radiology System. CDR by Schick Technologies. Inc. (K0752134). The other currently marketed device is the Gemini DUSB by Edlen Imaging LLC. (K103290)
A comparison table for the different systems is available in the section on Substantial Equivalence and No.7 below.
The device has been tested by a third party and found to meet the international safety standards established by the IEC 60601-1, further details available in the section on Test report.
| Manufacturer | GENORAY Co., Ltd. | Schick Technologies. Inc. | Edlen Imaging LLC |
|-----------------------------|----------------------------------------------------|----------------------------------------------------------------|---------------------------------------------|
| Product Name | PortView | Schick Computed Oral<br>Radiology System.<br>CDR | Gemini DUSB |
| Implementation | Software and Sensor | Software and Sensor | Sensor Only |
| Sensor size<br>(mm) | Size1: 36.73 X 24.35<br>Size2: 42.8 X 30.49 | Size 1: 31 X 22<br>Size 2: 37 X 24<br>Size 2: 43 X 30 | Size1: 36.73 X 24.35<br>Size2: 42.8 X 30.49 |
| Sensor Active Area<br>(mm²) | Size1: 600<br>Size2: 900 | Size1: 432<br>Size2: 600<br>Size3: 921 | Size 1: 600<br>Size2: 900 |
| Technology | CMOS | CMOS | CMOS |
| Interface to PC | USB 2.0 | USB 2.0 | USB 2.0 |
| Dynamic Range | 4096:1 | 4096:1 | 4096:1 |
| Cable length(m) | 3 | 2 | 3 |
| CPU | Intel Pentium Dual-Core<br>2.5GHz(E5200) or higher | Intel Pentium IV or AMD<br>3GHz<br>or higher | 2.0 GHz Pentium 4 |
| Memory | 1GB or higher | 1 GB | 1GB |
| HDD | 10GB or higher (Client)<br>100GB or higher | 80 GB HD | 80GB |
| OS | Windows XP service pack<br>2 or higher | Windows XP Professional<br>or<br>Windows Vista Home<br>Premium | Windows XP Pro / 7 |
| DICOM Compliance | DICOM 3.0 | DICOM 4.5 | DICOM 3.0 |
| Monitor Settings(Min.) | 1024 X 768 | 1024 X 768 | 1024 X 768 |
#### 7. Substantial equivalence chart (Technological Characteristics)
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K130088
Page 4 of 4
#### 8. Safety, EMC and Performance data
The basic safety and essential performance testing according to standard IEC 60601-1 were performed. EMC testing was conducted in accordance with standard IEC 60601-1-2. All test results were satisfactory.
And the result of bench and clinical evaluation indicates that the new device is as safe and effective as the predicate devices.
#### 9. Conclusion
The PortView is determined to be substantially equivalent to other legally marketed devices in the United States. They are the Schick Computed Oral Radiology System, CDR by Schick Technologies. Inc. and the Gemini DUSB by Edlen Imaging LLC.
We believe that the PortView is safe, effective and substantially equivalent to the predicate devices.
{4}------------------------------------------------
### DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/4/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES. USA" arranged around the perimeter. Inside the circle is a stylized image of an eagle with its wings spread.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
July 18, 2013
GENORAY Co., Ltd. % Mr. Jae Kim Business Development Manager GENORAY America, Inc. 1073 N. Batavia Street ORANGE CA 92867
Re: K130088
Trade/Device Name: PortView, digital x-ray sensor system Regulation Number: 21 CFR 872.1800 Regulation Name: Extraoral source x-ray system Regulatory Class: Class II Product Code: MUH Dated: April 23, 2013 Received: April 26, 2013
Dear Mr. Kim:
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. 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 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
{5}------------------------------------------------
Page 2 - Mr. Jae Kim
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Small Manufacturers, International and Consumer Assistance at its tollfree number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. 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
http://www.lda.gov/McdicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
for
Janine M. Morris Director, Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
{6}------------------------------------------------
## Indications for Use
510(k) Number (if known): K130088
Device Name: Digital x-ray sensor system, PortView
Indications for Use:
PortView is indicated for use in acquiring images of patient teeth. It is intended for intra oral x-ray examinations and produces instant, digital, intra-oral x-ray images of a patient's teeth for diagnosis of diseases of the teeth and oral structures.
The digital x-ray sensor system, PortView consists of Image acquisition part as an Intraoral Sensor and Image processing Software which provides functions such as Image acquisition, store, and search and connects to Network. And the software can also display images from intra oral video cameras.
V Prescription Use (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of In Vitro Diagnostics and Radiological Health (OIR)
Smh.7)
(Division Sign-Off) Division of Radiological I Icalth Office of In Vitro Diagnostics and Radiological Health
> 510(k) _______________________________________________________________________________________________________________________________________________________________________ K130088_______________________________________________________________________________________________________________________________________________________________________
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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.
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.
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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.
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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.
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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
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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.
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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.
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.