K980295 · Mrp Group, Inc. · HKI · May 19, 1998 · Ophthalmic
Device Facts
Record ID
K980295
Device Name
OPHTHAVISION IMAGING SYSTEM
Applicant
Mrp Group, Inc.
Product Code
HKI · Ophthalmic
Decision Date
May 19, 1998
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 886.1120
Device Class
Class 2
Indications for Use
The OphthaVision Imaging System is intended to be used to capture, archive and manipulate digital images of the eye obtained through the use of an ophthalmic camera.
Device Story
OphthaVision Imaging System captures, archives, and manipulates digital eye images. Input: analog/digital signals from ophthalmic camera (slit lamp/fundus camera) via C-mount. Processing: Pentium Pro PC with imaging board and Windows-based software; performs image enhancement (magnification, inversion, rotation, brightness/contrast/sharpness adjustment, shadow/edge trace/blur) and specific functions (auto-align, image compare, animate, stereo imaging). Output: digital images displayed on monitor, printed, or stored on removable Jaz drive. Used in clinical settings by ophthalmologists. Benefits: facilitates digital documentation, analysis, and retrieval of retinal/ocular images for clinical decision-making.
Clinical Evidence
No clinical data. Bench testing only; software verification and validation performed to demonstrate compliance with system and software specifications.
Technological Characteristics
System components: Kodak MegaPlus digital camera, imaging board, Pentium Pro PC, monitor, Jaz removable media drive. Software: Microsoft Windows-based image processing. Connectivity: Standalone PC. Image processing: non-compressed transfer. Functions: magnification, reduction, inversion, flipping, rotation, brightness/contrast/sharpness adjustment, shadow/edge trace, blur, auto-align, image compare, animation, stereo imaging.
Indications for Use
Indicated for use by ophthalmologists to capture, archive, and manipulate digital images of the eye obtained via ophthalmic camera during procedures such as digital angiography.
Regulatory Classification
Identification
An ophthalmic camera is an AC-powered device intended to take photographs of the eye and the surrounding area.
Special Controls
*Classification.* Class II (special controls). The device, when it is a photorefractor or a general-use ophthalmic camera, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 886.9.
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K980295
# 510(k) SUMMARY
MAY 1 9 1998
#### MRP Group, Inc.
# Submitter's Name, Address, Telephone Number, Contact Person, and Date Prepared
MRP Group, Inc.
| Phone: | (781)595-5105 |
|------------|---------------|
| Facsimile: | (781)595-8615 |
Matthew Carnevale Contact Person:
Date Prepared: January 26, 1998
### Name of Device and Name/Address of Sponsor
OphthaVision Imaging System
MRP Group, Inc. 1111 West Lowell Ave. Haverhill, MA 01832
#### Common or Usual Name
Camera, Ophthalmic, AC-powered
### Classification Name
Camera, Ophthalmic, AC-powered with digital imaging system.
#### Predicate Devices
Ophthalmic Imaging Systems - DFC Digital Imaging System (K913929) Midwest Ophthalmic Instruments - ORIMS Digital Angiography (K952480) Tomey Corporation USA - ImageScape Digital Retinal Image System (K971685) Topcon - Imagenet Digital Imaging System
## Intended Use
The OphthaVision Imaging System is intended to be used to capture, archive and manipulate digital images of the eye obtained through the use of an ophthalmic camera.
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#### Substantial Equivalence
MRP Group, Inc.'s OphthaVision Imaging System, Ophthalmic Imaging System's DFC, Midwest Ophthalmic Instrument's ORIMS, Tomey Corporation's ImageScape and Topcon's Imagenet all have the same intended use: to capture, archive, and manipulate digital images of the eye obtained though the use of an ophthalmic camera. The OphthaVision Imaging System, DFC, ORIMS, ImageScape, and Imagenet also have substantially equivalent technological characteristics. For instance, the OphthaVision, DFC. ImageScape and Imagenet all are equipped with the same Kodak MegaPlus digital camera and 1 gigabyte Jaz drive, and store the files in a TIFF file format.
The OphthaVision Imaging System and the predicate devices are all operated using personal computers with keyboards and a hand-operated mouse. The OphthaVision Imaging System, DFC, ImageScape and Imagenet use the Pentium chip-based personal computers with Microsoft Windows-based software. The OphthaVision Imaging System, DFC. ImageScape and Imagenet systems also have similar storage capabilities and monitors. Minor differences do not raise any new issues of safety or effectiveness because the OphthaVision's storage capabilities are superior to those of Imagenet and DFC's storage capabilities and do not affect the imaging capabilities of the device.
The OphthaVision Imaging System and the predicate devices all have the same basic software functions: image acquisition, analysis, storage and retrieval. The OphthaVision Imaging System and the ImageScape software have nearly identical functions because the OphthaVision Imaging System software was developed to have many of the same functions. The principal difference between the two is the graphical user interface. This difference does not raise any new issues of safety or effectiveness because both systems are graphical user interface systems in which the user clicks a mouse on a button to perform a task. Furthermore, MRP Group, Inc. has performed the software verification and validation. The verification and validation results demonstrate that the device meets the system and software specifications and requirements.
MRP Group Inc.'s OphthaVision Imaging System and the predicate devices are operated in the same manner. The ophthalmologist views the patient's eve through an ophthalmic camera with a digital camera mounted on a C-Mount to capture, archive and manipulate images. The patient is prepared for imaging in accordance with standard ophthalmic procedures and the ophthalmologist operates the joystick to send images to the digital camera in the same manner. For the Ophtha Vision Imaging System and the predicate devices, images are captured and manipulated using a graphical user interface. The systems software for the various devices also permit the ophthalmologist to print images, view images on the monitor, and archive the images on a removable media drive.
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### Performance Characteristics
The OphthaVision Imaging System consists of: (1) a digital camera; (2) an imaging board: (3) a personal computer; (4) a monitor; and (5) MRP Group Inc.'s Microsoft Windows based image processing software. The OphthaVision Imaging System is used in ophthalmic procedures such as digital angiography during which the patient's retina is viewed through a slit lamp or a fundus camera. Images are transferred to the OphthaVision Imaging System's imaging board, located in the OphthaVision Imaging System's personal computer and stored in the computer's Random Access Memory (RAM) and hard drive. As the images accumulate, the user downloads the images from the hard drive onto the computer's Jaz drive, a removable media drive, by using the computer keyboard and mouse to manipulate the software interface.
After downloading the images to the Jaz drive, the ophthalmologist may continue to capture images or process the images previously captured and downloaded to the Jaz drive. To further process the images with the OphthaVision Imaging System software, the ophthalmologist can choose options to perform the functions, described in more detail below, for analysis, archival and retrieval of images. In addition, the ophthalmologist may view the images on the monitor or print them on paper.
Each image captured by the digital camera is transferred to the imaging board. The image transfer and processing does not use data compression. The personal computer is an off-the-shelf Performance/VS Pentium Pro computer. The personal computer has MRP Group Inc.'s Microsoft Windows-based image processing software installed which has the capability of saving displaying and archiving images. The software permits the user to manipulate and enhance the image. The image may be magnified, reduced, inverted. flipped or rotated. The user also has the ability to adjust the image's brightness, sharpness and contrast. The image may be enhanced by shadow, edge trace, and blur The software performs seven image-processing functions: (1) print; (2) functions. extract/delete: (3) save: (4) auto-align; (5) image compare; (6) animate; and (7) stereo imaging.
Images may be printed in portrait or landscape mode depending of the user's selections. Each image may be annotated with patient specific data such as the patient's name, date, and selected eve. The image may be printed on any Microsoft Windows compatible printer.
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is circular and contains the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is an abstract symbol that resembles an eagle or bird-like figure.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
MAY 1 9 1998
MRP Group, Inc. Mr. Matthew Carnevale 1111 West Lowell Ave. Haverhill, MA 01832
Re: K980295 Trade Name: Ophthavision Imaging System Regulatory Class: II Product Code: 86 HKI Dated: May 6, 1998 Received: May 8, 1998
Dear Mr. Carnevale:
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, 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.
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 vour 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 requirements, 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
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# Page 2 - Mr. Matthew Carnevale
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 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,
A Roerl Rosenthal
A. Ralph Rosenthal, M.D. Director Division of Ophthalmic Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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K980295 510(k) Number (if known):
Device Name: OPHTHAVISION IMAGING SYSTEM
Indications For Use:
The OphthaVision Imaging System is intended to be used to capture, archive and manipulate digital images of the eye obtained through the use of an ophthalmic camera.
Image /page/5/Picture/5 description: The image shows a document with the text 'FDA/CDRH/ODE/DMC' vertically aligned on the left side. To the right of this, the date '8 May 98' is printed vertically, followed by the numbers '20100'. On the left side of the image, the word 'RECEIVED' is printed vertically.
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of device Evaluation (ODE)
Everette Deen
(Division Sign-Off) Division of Ophthalmic Devices 980295 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.