K180895 · Oculocare Medical AG · HOQ · Jun 27, 2018 · Ophthalmic
Device Facts
Record ID
K180895
Device Name
Alleye
Applicant
Oculocare Medical AG
Product Code
HOQ · Ophthalmic
Decision Date
Jun 27, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 886.1330
Device Class
Class 1
Attributes
Software as a Medical Device
Indications for Use
The Alleye is a mobile medical software application indicated for the detection and characterization of metamorphopsia, a visual distortion, in patients with age-related macular degeneration (AMD) and as an aid in the monitoring of the progression of this condition in respect of metamorphopsia. It is intended to be used by patients who have the capability to regularly perform a simple self-test at home.
Device Story
Alleye is a mobile medical software application for home-based visual function monitoring in patients with AMD. Patients perform an alignment hyperacuity self-test; the device processes input data to assess visual performance. Output consists of a numerical score and a color-coded indicator (red for worsened, green for stable/improved) compared to previous tests. Results are accessible via a web interface for eye care professionals. The device aids clinicians in monitoring disease progression and treatment efficacy (e.g., anti-VEGF injections), enabling timely clinical intervention. It benefits patients by providing a mechanism for regular, remote visual function assessment.
Clinical Evidence
Clinical evaluation included a test-retest reliability study (26 healthy, 60 AMD subjects) and a longitudinal study (60 wet AMD patients, 1506 measurements over 150 follow-up periods). Results demonstrated that patient self-testing detects worsening visual function prior to clinical follow-up visits. Usability was assessed in elderly AMD patients via oral feedback and the System Usability Scale.
Technological Characteristics
Mobile software application; web interface for clinicians. Implements alignment hyperacuity testing. Software developed in compliance with IEC 62304. Connectivity via mobile/web platform.
Indications for Use
Indicated for patients with age-related macular degeneration (AMD) to detect and characterize metamorphopsia and monitor disease progression via home self-testing.
Regulatory Classification
Identification
An Amsler grid is a device that is a series of charts with grids of different sizes that are held at 30 centimeters distance from the patient and intended to rapidly detect central and paracentral irregularities in the visual field.
Predicate Devices
myVisionTrack Model 0005 / Vital Art and Science, LLC (K143211)
Submission Summary (Full Text)
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June 27, 2018
Oculocare Medical AG % Allison Komiyama Consultant AcKnowledge Regulatory Strategies, LLC 2834 Hawthorn St. San Diego, CA 92104
Re: K180895 Trade/Device Name: Alleye Regulation Number: 21 CFR 886.1330 Regulation Name: Amsler Grid Regulatory Class: Class I Product Code: HOQ Dated: March 30, 2018 Received: April 5, 2018
Dear Allison Komiyama:
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
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(21 CFR Part 807); labeling (21 CFR Part 801); medical device 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.
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,
Bradley S. Cunningham -A
for Malvina B. Eydelman, M.D. Director Division of Ophthalmic and Ear, Nose, and Throat Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K180895
Device Name Alleye
Indications for Use (Describe)
The Alleye is a mobile medical software application indicated for the detection and characterization of metamorphopsia, a visual distortion, in patients with age-related macular degeneration (AMD) and as an aid in the monitoring of the progression of this condition in respect of metamorphopsia. It is intended to be used by patients who have the capability to regularly perform a simple self-test at home.
| Type of Use (Select one or both, as applicable) | |
|--------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------|
| <span style="font-size: 16px;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) | <span style="font-size: 16px;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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eyelash extensions
# 510(k) Summary K180895
#### DATE PREPARED
June 20, 2018
#### MANUFACTURER AND 510(k) OWNER
Oculocare Medical AG Verena Conzett Strasse 9, Zurich, ZH 8004, Switzerland Telephone: +41 44 700 42 28 Official Contact: Prof. Dr. Lucas Bachmann, CEO
#### REPRESENTATIVE/CONSULTANT
Allison C. Komiyama, Ph.D., R.A.C. Lucie Dalet, Ph.D. AcKnowledge Regulatory Strategies, LLC Telephone: +1 (619) 208-7888 Email: akomiyama@acknowledge-rs.com
# PROPRIETARY NAME OF SUBJECT DEVICE
Alleye
#### COMMON NAME
Grid, Amsler
#### DEVICE CLASSIFICATION
21 CFR 886.1330 Amsler Grid Product Code HOQ, Class I
#### PREMARKET REVIEW
ODE/DOED/DSDB Ophthalmic
#### INDICATIONS FOR USE
The Alleye is a mobile medical software application indicated for the detection and characterization of metamorphopsia, a visual distortion, in patients with age-related macular degeneration (AMD) and as an aid in the monitoring of the progression of this condition in respect of metamorphopsia. It is intended to be used by patients who have the capability to regularly perform a simple self-test at home.
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Image /page/4/Picture/1 description: The image shows a stylized eye with the words "eyelashcare products" arranged in an arc above the eye. The eye is closed, with a thick, curved line representing the upper eyelid and long, separated lines representing the eyelashes. The text is in a small, sans-serif font and follows the curve of the eyelid.
## DEVICE DESCRIPTION
Alleye is a digital technology visual function test, consisting of two different items: a mobile app for patients and a web interface for eye care professionals. Alleye implements an alignment hyperacuity task that helps patients with age-related macular degeneration (AMD) to assess their vision at home. This allows the timely detection of significant changes in vision function, enabling the regular monitoring of the disease progression and/or monitoring the visual function associated with ongoing treatments. Two elements provide feedback about the Alleye test: a score and a colored circle. The score value reflects the visual performance in the dots alignment, whereas the color indicates whether the performance has worsened considerably (red) or remained stable or improved (green) compared to the previous test.
#### PREDICATE DEVICE IDENTIFICATION
Alleye is substantially equivalent to the following predicate:
| 510(k) Number | Predicate Device Name / Manufacturer | Primary Predicate |
|---------------|-------------------------------------------------------|-------------------|
| K143211 | myVisionTrack Model 0005 / Vital Art and Science, LLC | ✓ |
#### SUMMARY OF NON-CLINICAL TESTING
No FDA performance standards have been established for Alleye. The following tests were performed to demonstrate safety based on current industry standards:
- Software Verification: The software development and testing was executed in compliance to IEC 62304 Medical Device Software - Software Life Cycle Processes
The results of these tests indicate that Alleye is substantially equivalent to the predicate device.
## SUMMARY OF CLINICAL TESTING
The clinical performance of Alleye was evaluated in accordance with ISO 14155 Clinical Investigation of Medical Devices for Human Subjects - Good Clinical Practice.
- . Test-Retest Study: the reliability of the metamorphopsia testing with Alleye was evaluated in a test-retest study performed on 26 healthy subjects and 60 subjects with age-related macular degeneration (AMD).
- Clinical Evaluation – Longitudinal Study: This study evaluated the extent to which regular patient self-measurement with Alleye performed between two clinical visits provides an aid in the monitoring for the need of an injection at the next follow-up visit. The 60 patients evaluated in this study had been diagnosed with wet AMD and were undergoing a pro re nata intravitreal injection (IVI) of anti-VEGF for treatment. They had completed at least a follow-up of 3 months, providing 1506 Alleye measurements in 150 follow-up periods. This clinical study demonstrates that patient self-testing with Alleye allows the detection of worsening visual function prior to follow-up visits.
- Usability Study: The usability of the Alleye app was evaluated on elderly subjects with AMD, in two clinical studies. The subjects provided oral feedback on the mobile app's user-friendliness and filled out the System Usability Scale.
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Image /page/5/Picture/1 description: The image shows a stylized eye with the words "GOOD LOOKS ARE FOREVER" forming the eyebrow. The eye is closed, with long, curved eyelashes extending downwards. The overall design is simple and graphic, using a bold, black color to define the shapes and text.
The results of these studies demonstrate that Alleye is substantially equivalent to the predicate device.
#### EQUIVALENCE TO PREDICATE DEVICES
Oculocare believes that Alleye is substantially equivalent to the predicate device based on the information summarized here:
The subject device has a similar intended use, and similar technological characteristics (mobile app for hyperacuity self-testing) as the device cleared in K143211. The principle of the hyperacuity testing is similar to the predicate as it involves global visual integration, and no fixation is required to perform the test. The main difference between the subject device and the predicate device is the task being used to assess the patient. The subject device incorporates the use of an alignment hyperacuity task whereas the predicate device is based on a shape discrimination hyperacuity task. The subject device has undergone clinical testing to ensure the device is as safe and effective as the predicate.
#### CONCLUSION
Based on the software validation and clinical evaluation, it can be concluded that the subject device does not raise new issues of safety or effectiveness compared to the predicate device. The similar indications for use and technological characteristics for Alleye are assessed to be substantially equivalent to the predicate device. The device is considered safe and effective for its intended use.
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.