The indication for use of the FCR® Fuji Computed Radiography DMS CRT Image Console HI-C654 Multimodality Display System for Networks is to receive, process, display, and transmit medical images.
Device Story
Device is a software modification to existing FCR® Fuji Computed Radiography DMS CRT Image Console HI-C654; functions as a network-connected display system. Inputs include medical images from FCR image readers or other modalities (CT, MR, DSA, NM) via proprietary network. Software enables network communication and optional lossy image compression (approx. 5:1, 12:1, 20:1). Device stores, processes, and displays images on CRT console; transmits images to multiformatters, archiving units, or other consoles. Operated by medical personnel in clinical settings. Output is visual image display for physician interpretation; lossy compression status and ratio are labeled on-screen. Device does not create images or contact patients; provides platform for clinical review and decision-making support.
Clinical Evidence
Bench testing only. No clinical data provided. Device relies on standard IEEE802.3 Ethernet communication protocols for error detection and correction. Compliance with UL 1950 safety standards for information technology equipment is documented.
Technological Characteristics
System consists of computer, display, keyboard, mouse, and software. Connectivity via IEEE802.3 Ethernet. Implements optional lossy data compression (5:1, 12:1, 20:1). Password-protected access. Complies with UL 1950 safety standard. No patient contact. Software-based image processing and transmission.
Indications for Use
Indicated for use by clinicians to receive, process, display, and transmit medical images from FCR image readers or other imaging modalities (CT, MR, DSA, NM) via a proprietary network. No specific patient population, age, or gender restrictions stated.
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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SEP 1 2 1997
# 510(k) Summary [as required by 21 CFR 807.92]
## Date Prepared [21 CFR 807.92(a)(1)]
June 13, 1997
# Submitter's Information [21 CFR 807.92(a)(1)]
Fuji Medical Systems U.S.A., Inc. Post Office Box 120035 Stamford, Connecticut 06912-0035 Telephone: +1 203 973-2664 +1 203 973-2777 facsimile: Contact: Robert A. Uzenoff
#### Trade Name, Common Name, Classification [21 CFR 807.92(a)(2)]
The device trade names are:
- FCR® Fuji Computed Radiography DMS CRT Image Console HI-C654 (for Networks .
- FCR® Fuji Computed Radiography DMS CRT Image Console HI-C654 Multimodality Display Sys-. tem
## Predicate Device [21 CFR 807.92(a)(3)]
FDA classified the predicate FCR® Fuji Computed Radiography DMS CRT Image Console HI-C654 with the FDA product code IXK as a regulatory class II medical device "System, Imaging, X-ray, Electrostatic", citing 21 CFR & 892.1630 "Electrostatic X-ray Imaging System" under 510(k) K931002. Under FDA's proposed rules (61 FR 63774 of December 2, 1996) Fuji believes FDA would classify this device as Class II, 21CFR 892.2050 "picture archiving and communications system".
FDA's accession number for the premarket notification for the predicate device is K931002. Fuji received notifications that FDA cleared the marketing of the predicate device in a letter uated June 8, 1993.
#### Description of the Device [21 CFR 807.92(a)(4)}
The subject device consists of a computer (system unit, display, keyboard, and mouse) and software. The subject device is a software modification of the predicate device. The modification may be to either existing or newly-installed predicate devices. One of two software modifications may be installed:
1? The network software adds network communication capability and newly permits lossy compression/decompression of approximately 5:1, 12:1, or 20:1. A "transmitter" network HI-C654 is connected directly to an image reader and can transmit images which optionally have undergone lossy compression to a network. A "receiver" network HI-C654 is connected only to the network and can
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receive images from the network. The transmitter/receiver status is indicated at power-on. Lossily compressed images are so labeled on the CRT display, along with a compression code which indicates the approximate compression rate. See page XXX.
2? The multimodality software a) includes the capabilities of the network software above, and b) adds the ability to receive images from multiformatters
3? The subject device connects either directly to one or two FCR® image readers, or to a proprietary network. The network may have on it FCR® image readers and Fuji multiformatters with image data from other imaging modalities such as CT, MR, DSA, NM, for example.
The device receives images from the FCR® image reader or network and stores, process, and displays the image. Stored images may be transmitted to other devices, such as multiformatters, archiving units, or other CRT image consoles.
Intended Use [21 CFR 807.92(a)(5)]
The indication for use of the FCR® Fuji Computed Radiography DMS CRT Image Console HI-C654 Multimodality Display System for Networks is to receive, process, display, and transmit medical images.
# Technological Characteristics [21 CFR 807.92(a)(6)]
The device does not create image data, does not contact the patient, nor does it control any life sustaining devices. Images displayed on the CRT image console are interpreted by a physician, providing ample opportunity for competent human intervention.
The subject device is a software modification of the predicate. No new hardware issues are raised.
The device newly permits (optional) lossy data compression. Three irreversible compression types are available with approximate compression rates of: 5:1, 12:1, and 20:1. A single compression type is set by service personnel for each device and cannot be modified by the user. Adjacent to every lossily compressed image, the soft label "irreversibly compressed" is displayed on the CRT along with an indication of the approximate compression ratio. The effects on image quality of irreversible compression and decompression are discussed in the operation manual.
Data loss may occur because of hardware failure (e.g. hard disk crash) or operator error (e.g. turning off power during hard disk access). However, as the device is not the data source nor image archive, the data can be recovered by requesting a retransmission from the other host modalities (CT, MR, US, NM) or optical disk filing equipment after recovering from a failure. Operation is password protected to prevent unauthorized use. The software does not allow access to the link between image and relevant patient ID information preventing patient image mix-ups.
# Performance Data [21 CFR 807.92(b)(1)]
The IEEE802.3 standard transceiver for Ethernet connection is employed. The subject and predicate devices both use standard data communications controls to detect and correct errors.
The device complies with the UL 1950 Standard for Safety of Information Technology Equipment, Including Electrical Business Equipment.
# Conclusion [21 CFR 807.92(b)(3)]
As is the case with the predicate, the subject device has no patient contact. Nor do the subject device control, monitor, or effect any devices directly connected to or effecting a patient. The images relayed by the subject devices are observed by medical personnel, offering ample opportunity for competent human intervention in the event of a failure.
Irreversibly compressed and decompressed images are so labeled along with an indication of the compression type. Standard communications error detection and correction methods are employed. Device
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1 DA 3 10(x) 1 remarket Normeanen
FCR® Fuji Computed Radiography Print Console HI-C654 Multimodality Display System for Networks
failures which might result in a failed transmission may be recovered from by retransmission after correcting the problem. Passwords are required for operation to protect against unauthorized use.
The subject and predicate share the same certification of conformance to the UL 1950 Standard for Safety of Information Technology Equipment, Including Electrical Business Equipment. We conclude that the subject devices are as safe and effective as the predicate device.
RA Uzenoff h:\user\tech_grp\doc\510k_654.doc 12/13 97/06/13 13:21
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Image /page/3/Picture/0 description: The image shows the text "DEPARTMENT OF HEALTH & HUMAN SERVICES". The text is in all caps and is in a sans-serif font. The text is black and the background is white. The text is centered in the image.
Image /page/3/Picture/1 description: The image shows the logo for the Department of Health & Human Services USA. The logo is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" around the perimeter. Inside the circle is an abstract image of a human figure.
SEP 1 2 1997
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Robert A. Uzenoff Fuji Medical Systems U.S.A., Inc. 333 Ludlow Street P.O. Box 120035 Stamford, CT 06912-0035
Re: K972256
FCR® Fuji Computed Radiography DMS CRT Image Console 41-C654 Multimodality Display System For Networks Dated: June 13, 1997 Received: June 16, 1997 Regulatory class: Unclassified Procode: 90 LLZ
Dear Mr. Uzenoff:
We have reviewed your Section 510(k) notification of intent to market the device referenced above 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 Device Amendments, or to 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 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 (Premarket Aproval), 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 QS 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 predicate device results in 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 question 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.
William Kin, Ph.D.
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
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972256 5 10(k) Number (if known): K
Device Name: Fuji Medical Laser Imager MF Print Server MF-PS667
Indications For Use:
The indication for use of the FCR® Fuji Computed Radiography DMS CRT Image Console HI-C654 Multimodality Display System for Networks is to receive, process, display, and transmit medical images.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH Office of Device Evaluation (ODE)
Yhird h. Leymon
(Division Sign-Off)
Division of Reproductive, Abdominal, ENT, and Radiological Dev 510(k) Number
Prescription Use
(Per 21 CFR 801.109)
OR
Over-The-Counter Use
(Optional Format 1-2-96)
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.