Restore PACS is a device that receives digital medical images and data from various sources (such as, MR scanners, CT Scanners, Digital Xray systems, computers, image gateways or other image sources). Images and other medical data can be communicated, processed, manipulated, stored and displayed within the system and/or across computer networks at distributed locations. Typical users of this system are trained radiologists, technicians and nurses.
Device Story
Restore PACS receives digital medical images/data from DICOM-compliant sources (MR, CT, X-ray, gateways); stores, manages, manipulates, and displays data across TCP/IP networks. Operated by radiologists, technicians, and nurses in clinical settings. System provides tools for image viewing, measurement, annotation, and post-processing. Output allows clinicians to review and interpret medical images to support diagnostic decision-making. Device does not generate original images; relies on external DICOM sources. Benefits include centralized access to imaging data and elimination of manual film handling.
Clinical Evidence
No clinical data. Bench testing only. Verification and validation testing confirmed that all input/output functions met predetermined acceptance criteria. Testing validated system performance across different hardware/OS configurations (Windows 7, Windows Server 2012, SQL Server 2012).
Technological Characteristics
Software-based PACS; utilizes TCP/IP networking. Compatible with DICOM 3.x standard. Supports non-image data via PDF encapsulation. Hardware-agnostic (runs on commercial off-the-shelf PCs/servers). Server: Windows Server 2012, Microsoft SQL Server 2012. Workstation: Windows 7 (32/64-bit).
Indications for Use
Indicated for trained radiologists, technicians, and nurses to receive, communicate, process, manipulate, store, and display digital medical images and data from various sources (MR, CT, Digital X-ray, etc.). Contraindicated for lossy compressed mammographic images and digitized film screen images for primary interpretation.
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).
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 2, 2016
XIAN WINGSPAN ELECTRONIC TECHNOLOGY CO., LTD. % Echo Chou OA Engineer Rm. A608, Pioneering Square, No. 48 Keji Rd., Gaoxin Dist. Xi'an, Shaanxi 710075 CHINA
Re: K162141 Trade/Device Name: Restore PACS Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: August 3, 2016 Received: August 5, 2016
Dear Echo Chou:
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.
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/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.fda.gov/MedicalDevices/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 Industry and Consumer Education 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.
Michael O'Hara
For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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#### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
#### Indications for Use
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement below.
510(k) Number (if known)
K162141
Device Name Restore PACS
#### Indications for Use (Describe)
Restore PACS is a device that receives digital medical images and data from various sources (such as, MR scanners, CT Scanners, Digital Xray systems, computers, image gateways or other image sources). Images and other medical data can be communicated, processed, manipulated, stored and displayed within the system and/or across computer networks at distributed locations. Typical users of this system are trained radiologists, technicians and nurses.
Contraindications:
Restore PACS is contraindicated for the use of lossy compressed mammographic images. Lossy compressed mammographic images and digitized film screen images must not be reviewed for primary image interpretations
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
#### 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."
FORM FDA 3881 (8/14)
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# SECTION 05: 510(K) SUMMARY
In accordance with 21 CFR 807.92 the following summary of information is provided:
Date Prepared: July 29, 2016
### Submitter's Information:
Company name Xi'an Wingspan Electronic Technology Co., Ltd. Rm. A608, Pioneering Square, No. 48 Keji Rd., Gaoxin Dist., Xi'an, Shaanxi, China Address Contact Name Echo Chou Title QA Engineer Phone number Fax number 86-29-88328071-817 Email e echo@wingspan.cn
# Trade Name, Common Name and Classification:
| Name of Device: | Restore PACS |
|-------------------|---------------------------------------------------------|
| Common Name: | Picture Archiving and Communication System |
| Classification: | 21 CFR 892.2050, System, Image Processing, Radiological |
| Regulatory Class: | II |
| Product Code: | LLZ |
### Predicate Device:
Restore PACS is substantially equivalent to: K150707 510(k) Number: Trade/Device Name: IntelePACS™ Product Code: LLZ Original Applicant INTELERAD MEDICAL SYSTEMS INCORPORATED Decision Date May 27, 2015
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### Device Description:
Restore PACS include features that receives digital medical images and data from various sources (such as, MR scanners, CT Scanners, Digital Xray systems, computers, image gateways or other image sources). Images and other medical data can be communicated, processed, managed, manipulated, stored and displayed within the system and/or across computer networks at distributed locations.
Restore PACS is designed to be deployed over TCP/IP networking infrastructure available in customer sites and utilizes commercially available hardware and operating systems. The system of Restore PACS does not generate any original medical images in the Restore PACS are received from DICOM compliant systems.
### Indications for Use:
Restore PACS is a device that receives digital medical images and data from various sources (such as, MR scanners, CT Scanners, Digital Xray systems, computers, image gateways or other image sources). Images and other medical data can be communicated, processed, managed, manipulated, stored and displayed within the system and/or across computer networks at distributed locations. Typical users of this system are trained radiologists, technicians and nurses.
### Contraindications:
Restore PACS is contraindicated for the use of lossy compressed mammographic images. Lossy compressed mammographic images and digitized film screen images must not be reviewed for primary image interpretations.
# Technological Characteristics with Predicate Device:
Restore PACS is a software product that handles and manipulates digital medical images. In general, a PACS (Picture Archiving and Communication System) is a medical imaging technology which provides storage of, and convenient access to, images from multiple modalities. Electronic images and reports are transmitted digitally via PACS; this eliminates the need to manually file, retrieve, or transport film jackets. The universal format for PACS image storage and transfer is DICOM 3.x (Digital Imaging and Communications in Medicine). Non-image data, such as scanned documents, may be incorporated using consumer industry standard formats like PDF (Portable Document Format), once encapsulated in DICOM. The predicate device and the new device are compared below:
| Item | IntelePACS<br>(K150707) | Restore PACS<br>(Subject Device) | Substantial<br>Equivalence<br>Analyses |
|---------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------|
| Workstation<br>Operating System | Windows 7 64-bit<br>Professional | Windows 7 64-bit or<br>32 bit Professional | Difference – See<br>explanation in A. |
| Network | 10/100/100 Ethernet | 10/100/100 Ethernet | Identical |
| User interaction/input | Mouse, keyboard, touch monitor | Mouse, keyboard | Equivalent - Restore PACS does not provide touch monitor |
| Acquisition devices | CT scanners, MR scanners, ultrasound systems, R/F units, computer and direct radiographic devices, secondary capture devices, scanners, imaging gateways | CT scanners, MR scanners, ultrasound systems, R/F units, computer and direct radiographic devices, secondary capture devices, scanners, imaging gateways | Identical |
| Image search | Yes | Yes | Identical |
| Import/Export Image | Yes | Yes | Identical |
| Image Archive function | Yes | Yes | Identical |
| Image View | Yes | Yes | Identical |
| Image Measurement | Yes | Yes | Identical |
| Image Annotation | Yes | Yes | Identical |
| Image Manipulation | Yes | Yes | Identical |
| Post image data processing | Yes | Yes | Identical |
| Image Pan | Yes | Yes | Identical |
| Image Thumbnail viewing | Yes | Yes | Identical |
| Image Magnify Glass | Yes | Yes | Identical |
| DICOM 3.0 compatibility | Yes | Yes | Identical |
| Multi-user | Yes - at a time, only one user can use it | Yes | Identical |
| Image organization | Patient ID, Name, study instance UID | Yes | Identical |
| Image operations | Yes | Yes | Identical |
| Security | Yes (Priority by user) | Yes | Identical |
| RAW Image data processing | Yes | Yes | Identical |
| Image reset | Yes | Yes | Identical |
| panning | Yes | Yes | Identical |
| Fit image | Yes | Yes | Identical |
| Server Operating<br>System | Red Hat Enterprise<br>Linux 6, latest Update,<br>for 64-bit x86 | Windows Server 2012,<br>Enterprise Edition | See explanation in B |
| Server Memory | 16 Gigabytes | 8 Gigabytes | See explanation in B |
| Server Database | Sybase and PostgreSQL | Microsoft SQL Server<br>2012, Enterprise<br>Edition. | See explanation in B |
| WorkStation<br>Processor | Intel 6-core Xeon<br>Processor 3.2GHz | Intel Processor, 2<br>Cores, 2.0 GHz | See explanation in C |
| Workstation Memory | 6 Gigabytes | 4 Gigabytes | See explanation in C |
Restore PACS - Traditional 510(k)
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Restore PACS - Traditional 510(k)
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- A. Workstation Operating System: Restore PACS has been tested and validated with Windows 7 professional 32 bit and 64bit, the results of testing verified that there is no impact on safety or efficacy and that no additional risks have been identified.
- B. Restore PACS 2.0 has been tested and validated on server configuration of Windows Server 2012, Enterprise Edition 64 bit, Microsoft SQL Server 2012, Enterprise Edition and 8 G Memory, the results of testing verified that there is no impact on safety or efficacy and that no additional risks have been identified.
- C. Restore PACS 2.0 has been tested and validated on workstation configuration of Intel Processor, 2 Cores, 2.0 GHz and 4G Memory, the results of testing verified that there is no impact on safety or efficacy and that no additional risks have been identified.
# Non-Clinical Testing
The Restore PACS has been assessed and tested at the factory and has passed all in-house testing criteria. The Verification & Validation Test Plan was designed to evaluate all input functions, output functions, and actions performed by the Restore PACS and followed the process documented in the Validation Test Plan. Nonclinical testing results are provided in the 510(k). Validation testing indicated that as required by the risk analysis, designated individuals performed all verification and validation activities and that the results demonstrated that the predetermined acceptance criteria were met.
The subject of this submission did not require animal testing, sterility testing, electrical safety testing or electromagnetic compatibility testing.
# Conclusion
Comparison of the Indications for Use, the technological characteristics, and performance specifications demonstrate the functional equivalence of the subject device to the predicate device. The subject device will be manufactured in accordance with the voluntary standards listed in the enclosed voluntary standard survey. The subject and predicate devices are substantially equivalent in the areas of technical characteristics, general function, and intended use.
Restore PACS - Traditional 510(k)
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Nonclinical testing results demonstrate the difference to the subject device does not raise any new potential safety risks and is equivalent in performance to existing legally marketed devices. Information provided in this premarket notification submission supports the Restore PACS to be as safe, as effective and substantially equivalent to its predicate device.
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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.