The Imation™ MODEL 9410 NETWORK INTERFACE Network Interface is intended for use as a communications gateway. It accepts input from imaging source modalities and transfers the image data to a compatible printing, viewing, archive or network system. The MODEL 9410 NETWORK INTERFACE accepts input in DICOM standard, digital or video formats and converts, if needed, to DICOM Standard or other digital formats. The system is intended for use with a variety of imaging modalities including CT, MR and CR for the transmission of image data to a variety of printing, viewing and storage devices.
Device Story
Communications gateway device; accepts medical image data from imaging modalities (CT, MR, CR) via DICOM, digital, or analog video formats. Transforms inputs by converting data formats to DICOM or other digital standards; utilizes video frame grabber/digitizer board for analog video. Operated by clinical staff via keypad or host modality control. Output transmitted to printing, viewing, or archive systems. Facilitates image data transmission for clinical review; supports diagnostic workflows by ensuring image compatibility across hospital network systems. No patient contact; does not control or monitor patients.
Clinical Evidence
Bench testing only. Safety and effectiveness assured via compliance with voluntary standards (UL950, CSA C22.2 No. 950). No clinical data provided; device does not contact patients or affect clinical decision-making directly.
Technological Characteristics
Communications gateway; utilizes video frame grabber/digitizer board for analog video. Connectivity: DICOM, digital, and video interfaces. Standards: UL950, CSA C22.2 No. 950. Software-based format conversion. No patient contact. Standalone network interface unit.
Indications for Use
Indicated for use as a communications gateway for transmitting medical image data from imaging modalities (CT, MR, CR) to printing, viewing, or archive systems. No specific patient population or contraindications defined.
Regulatory Classification
Identification
A medical image communications device provides electronic transfer of medical image data between medical devices. It may include a physical communications medium, modems, and interfaces. It may provide simple image review software functionality for medical image processing and manipulation, such as grayscale window and level, zoom and pan, user delineated geometric measurements, compression, or user added image annotations. The device does not perform advanced image processing or complex quantitative functions. This does not include electronic transfer of medical image software functions.
Predicate Devices
Cemax-Icon Scanlink V
Merge MVP
Submission Summary (Full Text)
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K973033
# 510(k) Summary
Sept 2, 1997
NOV 25 1997
Imation Corp. 1 Imation Place Oakdale MN 55128 Contact: Stephen G. Slavens 3M Center, 235-2B-23 St. Paul MN 55144-1000
> Phone: 612-704-3536 612-736-3116 FAX:
| Device: | |
|----------------------|------------------------------------------------------------------|
| Trade name: | Imation™ MODEL 9410 NETWORK INTERFACE |
| Common name: | PACS Communication Device |
| Classification name: | Medical Image Digitizer (Proposed)<br>21 CFR 892.2030 (Proposed) |
Cemax-Icon Scanlink V and Merge MVP Predicate devices:
#### Description And Intended Use of Device:
The Imation™ MODEL 9410 NETWORK INTERFACE Network Interface is intended for use as a communications gateway. It accepts input from imaging source modalities and transfers the image data to a compatible printing, viewing, archive or network system. The MODEL 9410 NETWORK INTERFACE accepts input in DICOM standard, digital or video formats and converts, if needed, to DICOM Standard or other digital formats. The system is intended for use with a variety of imaging modalities including CT, MR and CR for the transmission of image data to a variety of printing, viewing and storage devices.
#### Technological Characteristics:
The subject device and predicate devices use the same technical design base. The communications gateway devices receive image data from an imaging modality. User control is performed by a keypad or directly by the modality through the host control. Based on the control data from the modality, image information is transferred to the appropriate destination device.
Software is used to convert, as needed, image and control data from one digital format to another. In the case of analog video digitization, a commercially available video frame grabber / digitizer board is used.
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#### Performance Data:
Safety and effectiveness are key activities in the commercialization and are assured via meeting voluntary standards, including UL950, CSA C22.2 No. 950, and Imation™ MODEL 9410 NETWORK INTERFACE Requirements specification(Part B).
Released software, according to the established procedures, is given a production level code and subsequent code changes undergo testing, hazard analysis and approval equivalent to the initial release.
#### Conclusion:
The subject device, like the predicates, has no patient contact. The devices also do not control, monitor or otherwise effect any devices directly connected to or effecting the patient. Images communicated by the subject device and its predicates are reviewed by medical personnel, offering ample opportunity for competent human intervention in case of a malfunction or other failure.
Images communicated by the subject device maintain the same or better image properties in the areas of spatial and gray-scale resolution and in density uniformity as the predicate. No lossy compression is used in this device.
The subject and predicate device(s) have all been designed to equivalent safety standards.
Imation therefore concludes that the Imation™ MODEL 9410 NETWORK INTERFACE Network Interface is as safe and effective as the predicate device
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Image /page/2/Picture/0 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features the department's name in a circular arrangement around a stylized eagle. The eagle is depicted with three curved lines representing its wings and body. The text is arranged to follow the curve of the circle.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
NOV 2 5 1997
Imation Corporation c/o Stephen G. Slavens 3M Center, 235-2B-23 St. Paul, MN 55144-1000 Re: K973303
Imation ™ Model 9410 Network Interface Dated: September 2, 1997 Received: September 3, 1997 Regulatory class: Unclassified Procode: 90 LMD
Dear Mr. Slavens:
We have reviewed your Section 510(k) notification of intent to market the device and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act). You may, therefore, 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.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirement, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic OS inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under Radiation Control provisions, or other Federal laws or regulations.
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predication a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4613. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsmamain.html".
Sincerely yours,
h.J. Lillian Yin, Ph.D.
Director, Division of Reproductive, Abdominal, Ear, Nose and Throat, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
.
Enclosure
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## ATTACHMENT 2
### Statement of Indications for Use:
510(K) Number (if known): _ k 973 303
Device Name: Imation™ MODEL 9410 NETWORK INTERFACE Network Interface
Indications for Use:
The Imation™ MODEL 9410 NETWORK INTERFACE Network Interface is intended for use as a communications gateway. It accepts input from imaging source modalities and transfers the image data to a compatible printing, viewing, archive or network system. The MODEL 9410 NETWORK INTERFACE accepts input in DICOM standard, digital or video formats and converts, if needed, to DICOM Standard or other digital formats. The system is intended for use with a variety of imaging modalities including CT, MR and CR for the transmission of image data to a variety of printing, viewing and storage devices.
Concurrence of CDRH, Office of Device Evaluation (ODE)
Prescription Use (Per 21 CFR 801.109)
OR
Over the Counter Use
David C. Severson
---
(Division Sign Off)
(Division Sign-Off) Division of Reproductive, Abdominal, El and Radiological De 510(k) Number
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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.