XmaruView V1(Xmaru Chiroview or Xmaru Podview) software carries out the image processing and administration of medical X-ray data which includes adjustment of window leveling, rotation, zoom, and measurements. XmaruView V1(Xmaru Chiroview or Xmaru Podview) is not approved for mammography and is meant to be used by qualified medical personnel only. XmaruView V1(Xmaru Chiroview or Xmaru Podview) is complying with DICOM standards to assure optimum communications between network systems.
Device Story
XmaruView V1 is medical image processing software for digital radiography; connects to flat-panel detectors and X-ray generators to acquire, process, and manage patient X-ray images. Operated by qualified medical personnel in clinical environments; manages patient/test data via internal database. Features include DICOM worklist integration, auto-query, and image editing (contrast, invert, flip, rotate, windowing). Includes 'Grid ON' software algorithm to enhance contrast by reducing scatter radiation effects for non-grid acquisitions. Output displayed on workstation; assists clinicians in diagnostic review and workflow management. Benefits include streamlined radiographic workflow and improved image contrast.
Clinical Evidence
Bench testing only. Software validation testing evaluated all input/output functions and operational modes against predetermined acceptance criteria. Risk analysis conducted per ISO 14971; software life-cycle processes followed IEC 62304. No clinical data presented.
Technological Characteristics
Software-based medical image processing system. Connectivity: DICOM 3.0 compliant for network communication with PACS, printers, and worklist servers. Architecture: Integrated with flat-panel detectors and X-ray generators. Algorithm: 'Grid ON' software-based scatter reduction/contrast enhancement. Standards: IEC 62304 (software life-cycle), ISO 14971 (risk management).
Indications for Use
Indicated for qualified medical personnel to perform image processing and administration of medical X-ray data, including window leveling, rotation, zoom, and measurements. Not indicated for mammography.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
Predicate Devices
XmaruView V1 (Xmaru Chiroview or Xmaru Podview) and Xmaru PACS (K160579)
Reference Devices
FDR D-EVO Flat Panel Detector System (DR-ID600) (K153464)
Submission Summary (Full Text)
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food & Drug Administration (FDA). On the left is the Department of Health & Human Services-USA seal. To the right of the seal is the FDA logo in blue, with the words "U.S. FOOD & DRUG" on top and "ADMINISTRATION" below.
April 30, 2019
Rayence Co., Ltd. % Mr. Dave Kim Medical Device Regulatory Affairs Mtech Group 8310 Buffalo Speedway HOUSTON TX 77025
Re: K190866
Trade/Device Name: XmaruView V1 (Xmaru Chiroview, Xmaru Podview) Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: March 29, 2019 Received: April 3, 2019
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. 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 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for
{1}------------------------------------------------
devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.htm); 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 http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
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/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K190866
Device Name XmaruView V1 Xmaru Chiroview Xmaru Podview
#### Indications for Use (Describe)
Xmaru View V1(Xmaru Chiroview or Xmaru Podview) software carries out the image processing and administration of medical X-ray data which includes adjustment of window leveling, rotation, zoom, and measurements. Ymaru View V (Xmaru Chiroview or Xmaru Podview) is not approved for mammography and is meant to be used by qualified medical personnel only. Xmaru Chiroview or Xmaru Podview) is complying with DICOM standards to assure optimum communications between network systems.
| Type of Use (Select one or both, as applicable) | |
|------------------------------------------------------------------------------------------------|---------------------------------------------|
| <span style="text-decoration: overline;">X</span> Prescription Use (Part 21 CFR 801 Subpart D) | Over-The-Counter Use (21 CFR 801 Subpart C) |
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
# 1. 510(k) Summary
This summary of 510(k) safety and effectiveness information is being submitted in accordance with requirements of 21 CFR Part 807.92.
#### Date 510K summary prepared: April 9, 2019
Submitter's Name, address, telephone number, a contact person:
| Submitter's Name : | Rayence Co., Ltd. |
|-------------------------|---------------------------------------------------------|
| Submitter's Address: | 14, Samsung 1-ro 1-gil, Hwaseong-si, Gyeonggi-do, Korea |
| Submitter's Telephone: | +82-31-8015-6459 |
| Contact person: | Mr. Kee Dock Kim / RA Team Manager / +82-31-8015-6459 |
| Official Correspondent: | Dave Kim (davekim@mtech-inc.net) |
| Address: | 8310 Buffalo Speedway, Houston, TX 77025 |
| Telephone: | +713-467-2607 |
| Fax: | +713-583-8988 |
Name of the device, including the trade or proprietary name if applicable, the common or usual name and the classification name, if known:
| Type of 510k Submission: | Special |
|----------------------------|----------------------------------------------------------------------------------------|
| Trade/proprietary name: | XmaruView V1 (Xmaru Chiroview or Xmaru Podview) |
| Common Name: | Medical Image Processing Software |
| Regulation number: | 21 CFR 892.2050 |
| Classification Name: | Picture archiving and communications system |
| Product Code: | LLZ |
| Predicate device (K160579) | |
| Manufacturer: | Rayence Co., Ltd. |
| Device Name : | XmaruView V1 (Xmaru Chiroview or Xmaru Podview) and<br>Xmaru PACS |
| 510(k) Number: | K160579 (Decision Date - Apr 08, 2016) |
| Common Name: | Medical Image Processing Software |
| Regulation number: | 21 CFR 892.2050 |
| Classification Name : | Picture archiving and communications system |
| Product Code: | LLZ |
| Reference device (K153464) | |
| Manufacturer: | FUJIFILM Medical Systems U.S.A., Inc. |
| Device Name : | FDR D-EVO Flat Panel Detector System (DR-ID600) with<br>improved virtual grid software |
| 510(k) Number: | K153464 (Decision Date – Apr 08, 2016) |
| Common Name: | Flat Panel Digital Detector System |
| Regulation number: | 21 CFR 892.1680 |
| Classification Name : | Stationary X-ray system |
| Product Code: | MQB |
{4}------------------------------------------------
# 2. Device Description
XmaruView V1 is a software program designed to provide image acquisition, processing and operational management functions for Digital Radiography.
XmaruView V1 performs connects with Flat-Panel Detectors and Generator to acquire digital images. The software also manages information on patients, tests and images through an internal database. It also supports DICOM which allows excellent compatibility with other radiography equipment and network programs. XmaruView V1 provides a streamlined process of multiple workflows. This optimizes any hospital environment for digital radiography.
Image /page/4/Figure/4 description: The image shows a diagram of the XmaruView V1 software architecture. The diagram is divided into three main sections: Viewer Window, Main Window, and External Connection. The Viewer Window section includes modules for image acquisition, post-image processing, thumbnail list, image display, and a side toolbar. The Main Window section is divided into two tabs: Study List and Worklist, each containing modules for study management and data management.
# 3. Indication for use
XmaruView V1(Xmaru Chiroview or Xmaru Podview) software carries out the image processing and administration of medical X-ray data which includes adjustment of window leveling, rotation, zoom, and measurements. XmaruView V1(Xmaru Chiroview or Xmaru Podview) is not approved for mammography and is meant to be used by qualified medical personnel only. XmaruView V1(Xmaru Chiroview or Xmaru Podview) is complying with DICOM standards to assure optimum communications between network systems.
# 4. The Main Functions of XmarView V1
The major functions of XmaruView V1 are as follows.
- Automatic acquisition of patient information and photo-taking a shot through the -DICOM Worklist.
- Auto Query that searches the Worklist server at every designated interval, facilitating to handle newly added works rapidly and efficiently.
- Display an acquired image within a very short period of time after taking an image. -
- Reduce input time for patient information by automatically applying the preset Image -Processing Parameter, ROI, Marker, LUT etc. according to different body parts.
- Enables a user to take images simultaneously while conducting a variety of functions, including DICOM image transmission, printing, and Worklist search.
- Provides a variety of image editing functions, including Contrast, Invert, Flip, Rotate, ROI, and -Windowing.
- Grid ON function is to reduce the effects of scatter radiation and to enhance contrast for image .
- Enable a user to edit images upon acquisition
- Image management functions: test creation, modify and delete of information, move and
{5}------------------------------------------------
delete of image, and image storage management.
- Supports DICOM 3.0 and image transmission to the PACS server, print and Worklist jobs. -
#### 5. Interoperation products
XmaruView V1 are compatible with the following detectors and generators:
- -Rayence's Detector
- -Generator
- EDITOR HFe 501(Spellman) 1
- CMP200(CPI)
- SYNERGY(SUMMIT)
- System
-
- SU-3000/RU-3000(SYFM) .
#### 6. Substantial Equivalence
XmaruView V1 SW and the predicate device(K160579), XmaruView V1 image viewer software are substantially equivalent, having the same indications for use and functionalities such as image processing, windowing, zoom, rotation, contrast, brightness, inverting view, annotation, DICOM worklist, DICOM store and DICOM print. The differences are hardware operation environment and Grid ON processing parameter. Both subject device and predicate device are categorized as the product code LLZ; equivalence between the subject and predicate device is evident.
The differences between the subject and predicate device are as follows:
The proposed device, XmaruView V1 is an upgrade version of the predicate device (K160579). XmaruView V1 SW is updated with Grid ON function to enhance contrast for image, Grid On function is related to Virtual grid where physical grid is not used. Grid On is a software algorithm designed to improve image contrast in general radiographic images by reducing the effects of scatter radiation. primarily for exams acquired without a grid. However. Grid On function should be turned off to acquire images with a real grid.
The difference is not significant since they are additional features for user convenience and do not raise new safety or effectiveness concerns. Based on the validation submitted in this 510(k) submission, we conclude that the proposed device is substantially equivalent to the predicate device.
# 7.Summary of Performance Testing
- 1) The complete system configuration has been assessed and tested by the manufacturer and passed all testing acceptance criteria. The software validation test was designed to evaluate all input functions, output functions, and actions performed by XmaruView V1. Each operational mode and the processes are documented in the Software Validation Report.
The validation testing verified and validated the risk analysis and individual performance results were within the predetermined acceptance criteria.
- 2) Safety and Performance Data:
The SW validation and risk analysis based on FMEA were conducted. The risks identified have been mitigated and any residual risks were evaluated and accepted.
- IEC 62304 Medical device software Software life-cycle processes : 2006
- ISO 14971 Medical Devices Application of risk management to medical device : 2007
# 8. Conclusions
None of the modifications alter the Indications for Use in a significant way, nor the fundamental scientific technology, and do not introduce a fundamentally new scientific technology. Therefore, it is determined that the XmaruView V1 described in this submission is substantially equivalent to the predicate device.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.