K260694 · Carl Zeiss Meditec, AG · NFJ · Jul 17, 2026 · Radiology
Device Facts
Record ID
K260694
Device Name
ZEISS CLINIC 360
Applicant
Carl Zeiss Meditec, AG
Product Code
NFJ · Radiology
Decision Date
Jul 17, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
ZEISS CLINIC 360 is comprehensive software intended for use in importing, processing, measurement, analysis and storage of clinical images and videos of the eye as well as in management and display of patient data, diagnostic data, clinical information, and reports from ophthalmic diagnostic instruments through computerized networks. The device aids in the detection, monitoring and management of various ocular diseases.
Device Story
ZEISS Clinic 360 is a browser-based software platform for consolidating, processing, and displaying ophthalmic diagnostic data; it integrates with a Health Data Platform (HDP) for bi-directional data flow. The device does not acquire data directly; it imports DICOM-compliant images and reports from ophthalmic instruments (e.g., CIRRUS OCT, HFA). It implements established algorithms from CIRRUS and HFA devices to perform quantitative analyses, including macular thickness, RNFL, GCL/IPL, and optic nerve head measurements, as well as Visual Field Guided Progression Analysis (GPA). Clinicians use the software to view multimodal data, annotate findings, and document decisions via tagging. The output supports clinical assessment, monitoring of disease progression, and management of ocular conditions. It is intended for use in clinical settings by eye care professionals.
Clinical Evidence
No clinical trials were conducted. Evidence consists of software verification and validation (V&V) and a moderated usability study. The usability study involved optometrists and ophthalmologists performing representative use scenarios to validate safety and effectiveness. All tasks met acceptance criteria, and no new hazards were identified.
Technological Characteristics
Browser-based software; cloud-hosted; DICOM-compliant. Integrates with ophthalmic diagnostic instruments via computerized networks. Implements rule-based and statistical algorithms for image analysis (OCT and visual field). Features include multi-modality viewing, annotation, and tagging. Compliant with IEC 62304 for medical device software.
Indications for Use
Indicated for use by clinicians to import, process, measure, analyze, and store ophthalmic images, videos, and diagnostic data to aid in the detection, monitoring, and management of ocular diseases, including glaucoma.
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).
GPA on the HUMPHREY FIELD ANALYZER II & II-I Series (K093213)
Submission Summary (Full Text)
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FDA U.S. FOOD & DRUG ADMINISTRATION
July 17, 2026
Carl Zeiss Meditec, AG
% Marysa Lyew
Regulatory Affairs Manager
Carl Zeiss Meditec USA, Inc.
5300 Central Pkwy.
Dublin, California 94568
Re: K260694
Trade/Device Name: Zeiss Clinic 360
Regulation Number: 21 CFR 892.2050
Regulation Name: Medical Image Management And Processing System
Regulatory Class: Class II
Product Code: NFJ
Dated: March 3, 2026
Received: March 3, 2026
Dear Marysa Lyew:
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 (the 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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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 Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn).
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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 (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/contact-us-division-industry-and-consumer-education-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 -S
CAPT Brad Cunningham, MSE, RAC
Acting Assistant Director
DHT1A: Division of Ophthalmic Devices
OHT1: Office of Ophthalmic, Anesthesia,
Respiratory, ENT, and Dental Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K260694 | ? |
| Please provide the device trade name(s). | | ? |
| ZEISS CLINIC 360 | | |
| Please provide your Indications for Use below. | | ? |
| ZEISS CLINIC 360 is comprehensive software intended for use in importing, processing, measurement, analysis and storage of clinical images and videos of the eye as well as in management and display of patient data, diagnostic data, clinical information, and reports from ophthalmic diagnostic instruments through computerized networks. The device aids in the detection, monitoring and management of various ocular diseases. | | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
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ZEISS
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### 1.0 Contact Details
Applicant Name: Carl ZEISS Meditec AG
Applicant Address: Goeschwitzer Strasse 51-52 Jena 07745, Germany
Applicant Contact Telephone: +1 925-236-1195
Applicant Contact: Mr. Todd Milholland
Applicant Contact Email: todd.milholland@zeiss.com
Correspondent Name: Carl ZEISS Meditec USA Inc.
Correspondent Address: 5300 Central Parkway Dublin, CA. 94568, United States
Correspondent Contact Telephone: +1 925-413-8108
Correspondent Contact: Ms. Marysa Lyew
Correspondent Contact Email: marysa.lyew@zeiss.com
### 2.0 Device Name
Device Trade Name: ZEISS Clinic 360
Common Name: ZEISS Clinic 360
Classification Name: Ophthalmic
Regulation Number: 892.2050
Product Code(s): NFJ
### 3.0 Legally Marketed Predicate Devices
Predicate # - Predicate Tade Name (Primary Predicate is listed first) – Product Code
K232555 – Harmony – NFJ
K233933 – CIRRUS™ HD-OCT Model 6000 – OBO
K093213 – GPA on the HUMPHREY FIELD ANALYZER II & II-I Series – HPT
### 4.0 Device Description Summary
ZEISS CLINIC 360 is a browser-based software designed to consolidate, process, analyze and display patient medical and diagnostic data. It integrates data stored in the Health Data Platform
ZEISS classification: Restricted
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ZEISS
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(HDP) allowing users to access and review comprehensive diagnostic information. HDP is a separate non-medical device platform that will support CLINIC 360. The Health Data Platform (HDP) provides a workflow enabling bi-directional data flow between medical devices or health record systems with cloud-based clinical and administrative applications.
ZEISS CLINIC 360 builds upon feature sets available in CIRRUS (K233933) and HFA (K093213) by leveraging raw data analyses and integrating the data into one integrated multimodal view. ZEISS CLINIC 360 implements CIRRUS algorithms (OCT Analyzer) and reference databases for macular thickness, retinal nerve fiber layer thickness, ganglion cell plus inner plexiform thickness, optic nerve head measurement. CLINIC 360 also implements Humphrey Field Analyzer (HFA) algorithms and databases for visual field measurements and Visual Field Guided Progression Analysis. Visual Field Guided Progression Analysis (GPA) for HFA is a functionality designed to help clinicians identify and quantify statistically significant progressive visual field loss in glaucoma patients.
ZEISS CLINIC 360 is designed to support the clinician in the detection, monitoring, and management of various ocular diseases. It provides annotation tools and enables the health care provider to adjust parameters such as brightness and contrast, as well as utilize zoom and planning. Furthermore, through the use of tags, clinicians can document key decisions and annotate changes, which can then be transmitted back to the Electronic Medical Records (EMR), streamlining the documentation process.
ZEISS CLINIC 360 integrates with ZEISS Collaborative Care, a separate application, enabling users to share selected images with other health care providers by clicking the sharing button. This inter-application integration is achieved through the use of an application programing interface (API).
ZEISS CLINIC 360 does not acquire any diagnostic data by itself and is not connected directly to any computerized diagnostic instruments (e.g. a CIRRUS HD-OCT).
ZEISS CLINIC 360 will be delivered in the following subscription offerings, targeting specific customer groups:
1. Primary Care Workflow – focused on Basic Care markets providing multi-modality connectivity and visualization, standard OCT, and Fundus imaging visualization.
2. Comprehensive Care Workflow – focused on Intermediate Care markets providing multi-
modality connectivity and visualization, advanced OCT and Fundus imaging visualization, and support for management of mild and moderate glaucoma.
Key functional elements of ZEISS Clinic 360 include the following.
Patient Overview: Patient Overview Screen gives the user contextual information about the patient. It consolidates the medical and diagnostic data into a single screen, giving an overview of the patient's data to be used for the assessment process.
ZEISS classification: Restricted
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Disease Summary: The Disease Summary is only provided for glaucoma in the Comprehensive Care subscription, as glaucoma involves complex statistical analysis. ZEISS CLINIC 360 will make a disease summary available by either using the diagnosis from EMR or tags, or by checking if the data is required for the disease summary is present.
The Glaucoma Summary offers the functionality of processing and displaying HFA visual field data, including the Guided Progression Analysis (GPA). The Glaucoma Summary aids the clinician in the detection, monitoring, and management of glaucoma and its progression as well as providing means to annotate and flag data according to the clinicians' needs. Visual Field Guided Progression Analysis (GPA) for HFA is a functionality designed to help clinicians identify and quantify statistically significant progressive visual field loss in glaucoma patients. CLINIC 360 provides GPA trend analyses through HFA Analyzer Software component with the goal of quantifying how quickly each patient's visual fields are changing (the rate of visual field loss) and to help the practitioner assess the risk of future visual impairment associated with that rate of change.
Diagnostic Visualization – Multi-Modality Diagnostic Image Viewing: ZEISS CLINIC 360 will provide a comprehensive set of image viewing capabilities. It will take advantage of the algorithms and reference databases of well-established Carl Zeiss Meditec products - CIRRUS OCTs and HFA – and display the corresponding data points.
Reference Database (RDB) Analytics: The reference databases provide quantitative metrics to aid clinicians in differentiating between healthy and pathological conditions, and it also assists clinicians in the diagnosis and management of ocular conditions. The reference database used in CLINIC 360 can be turned on or off based on preference. RDB1 is the existing legacy diversified database that associates CIRRUS 400/4000/500/5000 study data to compare macular thickness, ganglion cell thickness, optic disc, and RNFL measurements to a reference range for healthy eyes for a patient's age. RDB2 is a diversified reference database created for CIRRUS 6000 to help clinicians assess and compare a patient's measurements to a database of healthy subjects.
Macular Single Eye Analysis: Macular Single Eye Analysis or Macular Thickness Analysis (MTA) analyzes data for a single eye's macular exam by using CIRRUS OCT algorithms implemented by OCT Analyzer.
Optic Disc Analysis: The ONH OCT Viewer allows a clinician to view structural scans of the Optic Nerve Head (or Optic Disc). It leverages the CIRRUS Optic Disc 200 x 200 scan to measure the structure of the Optic Nerve. This scan is used to assess optic nerve health and look for signs of glaucoma.
Wellness Analysis: Wellness analysis is a single page display that provides an integrated OU assessment of macular thickness, RNFL thickness, GCL/IPL thickness, and optic nerve head parameters compared to a reference database of healthy subjects from CIRRUS. Wellness Analysis displays a combined or stitched view called the PanoMap analysis which combines information from the Macular Thickness analysis, RNFL and ONH analysis, and GCL/IPL
ZEISS classification: Restricted
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analysis to provide an integrated, wide-field perspective for comprehensive analysis for both eyes.
MOR Report(s): The MOR report feature, from CIRRUS data, provides an integrated display of RNFL thickness, GCL/IPL thickness, RNFL deviation map, and GCL/IPL deviation map compared to a reference database of healthy subjects for the evaluation of glaucoma. The MOR Report is available for a single eye or both eyes. It provides a quantification/analysis tools for each of the supported scan types to help support glaucoma detection and progression.
Raster Scans: OCT Analyzer also provides a function to display raster scans. Raster Scans provide higher averaging and better resolution than an OCT cube scan. This is not an analysis feature but only a display of the B-Scans. With this feature, the user can review different raster scan patterns acquired on CIRRUS devices.
Image Review and Comparison Tools: ZEISS CLINIC 360 provides review tools that allow users to enhance specific structural details of images by improving contrast between different structures to focus on areas of interest. ZEISS CLINIC 360 offers a comprehensive set of tools designed to enhance image viewing and manipulation experience.
Clinical Documentation through Tagging: ZEISS CLINIC 360 offers the functionality of tagging to document clinical assessment and treatment decisions. Tagging refers to the functionality that allows users to assign specific labels or tags to diagnosis, findings, and medication.
A comparison of the software capabilities available for ZEISS vs. Non-ZEISS images are provided in the table below:
ZEISS classification: Restricted
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ZEISS
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Feature Availability by Image Source
| Feature Category | Feature | ZEISS Images | Non-ZEISS Images | Acceptance Criteria |
| --- | --- | --- | --- | --- |
| Visualization | Zoom / Pan | Yes | Yes | DICOM compliant image |
| Visualization | Print | Yes | Yes | DICOM compliant image |
| Visualization | Download | Yes | Yes | DICOM compliant image |
| Visualization | B-scan navigation | Yes | Yes | DICOM OPT image |
| Analysis | OCT Quantitative Analysis (Deviation Map, RNFL Thickness Map, GCL+IPL Thickness Map, ETDRS Grid, Quadrant Average, Clock Hour Average, RNFL Thickness Chart, Layer (Segmentation), Comparison with Normative Reference Data,) | Yes from ZEISS CIRRUS only | No | ZEISS CIRRUS OCT raw DICOM data |
| Analysis | Visual Field Analysis (VFI value and Regression and Progression for VFI, Mean Deviation Value and Slope, PSD value, Event Analysis) | Yes from ZEISS HFA only | No | ZEISS HFA raw DICOM data from supported models (HFA II, HFA II-i, HFA 3) |
### 5.0 Indications for Use
ZEISS CLINIC 360 is comprehensive software intended for use in importing, processing, measurement, analysis and storage of clinical images and videos of the eye as well as in management and display of patient data, diagnostic data, clinical information, and reports from ophthalmic diagnostic instruments through computerized networks. The device aids in the detection, monitoring and management of various ocular diseases.
### 6.0 Indications for Use Comparison
The subject device (ZEISS CLINIC 360) and the predicate device (Harmony;K232555) are both comprehensive software intended for use in importing, processing, measurement, analysis and storage of clinical images and videos of the eye as well as in management and display of patient data, diagnostic data, clinical information, and reports from ophthalmic diagnostic instruments through computerized networks. They are both Cloud (browser based) DICOM-enabled devices that are IEC 62304 Compliant.
### 7.0 Technological Comparison
ZEISS CLINIC 360 builds upon feature sets available in CIRRUS (K233933) and Humphrey Field Analyzer (K093213) by leveraging raw data analyses and integrating the data into one integrated multimodal view. ZEISS CLINIC 360 implements CIRRUS algorithms (OCT
ZEISS classification: Restricted
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Analyzer) and reference databases, as well as algorithms and databases from HFA for visual field measurements and Visual Field Guided Progression Analysis.
The technological characteristics and risk profile of the subject device (ZEISS CLINIC 360) are equivalent in their relationship to safety and effectiveness to the predicate device (Harmony; K232555) and the listed reference devices (CIRRUS; K233933) and (HFA; K093213).
Therefore, the subject device can be determined to be substantially equivalent to the predicate.
The Substantial Equivalence Table for the Subject Device and its Primary Predicates and Reference Devices is provided below:
ZEISS classification: Restricted
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Substantial Equivalence of ZEISS Clinic 360 to Predicate(s)
| Attributes / Specifications | Subject Device: Clinic 360 v. 1.0 (KTBD) | Predicate Device: Harmony (K232555) | Reference Device 1: Cirrus HD-OCT 6000 v.11.7 (K233933) | Reference Device 2: HFA II, HFA II-i (K093213) | SE Analysis |
| --- | --- | --- | --- | --- | --- |
| Device Classification | System, image management, ophthalmic | System, image management, ophthalmic | N/A | N/A | Same |
| Product Code | NFJ | Same | N/A | N/A | Same |
| CFR Regulation | 21 CFR 892.2050 | Same | N/A | N/A | Same |
| Classification | II | Same | N/A | N/A | Same |
| Indications for Use | Clinic 360 is a comprehensive software intended for use in importing, processing, measurement, analysis and storage of clinical images and videos of the eye as well as in management and display of patient data, diagnostic data, clinical information, and reports from ophthalmic diagnostic instruments through computerized networks. The device aids in the detection, monitoring and management of various ocular diseases. | Harmony is a comprehensive software platform intended for use in importing, processing, measurement, analysis and storage of clinical images and videos of the eye as well as in management of patient data, diagnostic data, clinical information, reports from ophthalmic diagnostic instruments through either a direct connection with the instruments or through computerized networks. | The CIRRUS™ HD-OCT is a non-contact, high resolution tomographic and biomicroscopic imaging device. It is indicated for in-vivo viewing, axial cross-sectional, and three-dimensional imaging and measurement of anterior and posterior ocular structures, including cornea, retina, retinal nerve fiber layer, ganglion cell plus inner plexiform layer, macula, and optic nerve head. The CIRRUS™ HD-OCT Reference Database is a quantitative tool used for the comparison of retinal nerve fiber layer thickness, macular thickness, ganglion cell | The Carl Zeiss Meditec, Inc. Guided Progression Analysis is a software analysis module for the Humphrey® Field Analyzer II (HFA H1) and Humphrey® Field Analyzer II - i series (HFA II - i) that assists practitioners with the detection, measurement, and management of progression of visual field loss. It aids in assessing change over time, including change from baseline and rate of change. It is intended for use as a diagnostic device to aid in the detection and management of ocular diseases including, but not limited to, glaucoma. | Same as Primary Predicate Minor differences in wording are clarifying in nature and do not alter the intended use or impact the S&E of the Subject Device. |
ZEISS classification: Restricted
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| Attributes / Specifications | Subject Device: Clinic 360 v. 1.0 (KTBD) | Predicate Device: Harmony (K232555) | Reference Device 1: Cirrus HD-OCT 6000 v.11.7 (K233933) | Reference Device 2: HFA II, HFA II-i (K093213) | SE Analysis |
| --- | --- | --- | --- | --- | --- |
| | | | plus inner plexiform layer thickness, and optic nerve head measurements to a database of healthy subjects. CIRRUS™ HD-OCT AngioPlex angiography is indicated as an aid in the visualization of vascular structures of the retina and choroid. The CIRRUS™ HD-OCT is indicated for use as a diagnostic device to aid in the detection and management of ocular diseases including, but not limited to, macular holes, cystoid macular edema, diabetic retinopathy, age-related macular degeneration, and glaucoma. | | |
| Device Compatibility | • Optical Coherence Tomography devices • Mydriatic retinal cameras • Non-mydriatic retinal cameras • Biomicroscopes (slit lamps) | Same | N/A | N/A | Same |
| Testing | SW V&V, Usability, IEC 62304 | V&V, IEC 62304 | N/A | N/A | Different, no impact on S&E |
ZEISS classification: Restricted
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| Attributes / Specifications | Subject Device: Clinic 360 v. 1.0 (KTBD) | Predicate Device: Harmony (K232555) | Reference Device 1: Cirrus HD-OCT 6000 v.11.7 (K233933) | Reference Device 2: HFA II, HFA II-i (K093213) | SE Analysis |
| --- | --- | --- | --- | --- | --- |
| | | | | | Clinic 360 conducted a Usability Study |
| Platform/OS | Cloud (Browser Based) | Same | N/A | N/A | Same |
| Image/Data Transfer | DICOM enabled device | Same | N/A | N/A | Same |
| Image Modalities | OCT, Fundus, Perimetry, Biometry | Same | N/A | N/A | Same |
| Cybersecurity | User-level Permissions, encrypted data transfer | Same | N/A | N/A | Same |
| Interoperability | DICOM Network Integration | Same | N/A | N/A | Same |
| Modality Worklist | Collects, aggregates, and imports patient medical and demographic data from a connected EMR Collects scheduling data and send patient demographics to a device Imports of diagnostic data from various upstream devices (e.g., CIRRUS OCT) by Carl Zeiss Meditec | Same | N/A | N/A | Same |
| Image Review / Comparison Tools | Primary Care: - Brightness/contrast - Download image - Print images/reports - Synchronized zoom & pan Comprehensive Care: - Brightness/contrast - Download image - Print images/reports - Synchronized zoom & pan | - Brightness/contrast - Download image - Print images/reports - Synchronized zoom & pan - RGB split - Textual and graphical annotations - Image rotation | N/A | N/A | Same |
ZEISS classification: Restricted
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| Attributes / Specifications | Subject Device: Clinic 360 v. 1.0 (KTBD) | Predicate Device: Harmony (K232555) | Reference Device 1: Cirrus HD-OCT 6000 v.11.7 (K233933) | Reference Device 2: HFA II, HFA II-i (K093213) | SE Analysis |
| --- | --- | --- | --- | --- | --- |
| | - RGB split - Textual and graphical annotations - Image rotation | | | | |
| Tagging | Tagging refers to the functionality that allows users to assign specific labels or tags | Same | N/A | N/A | Same |
| Diagnostic Visualization | Primary Care: - Ability to review up to 2 images side-by-side Comprehensive Care: - Multi-modal view: up to 6 images side-by-side - FA/ICGA series in a proof sheet | Same, can provide multiple images side by side, exact number is unknown | N/A | N/A | Same |
| Glaucoma Summary | Offered only with Comprehensive Care The Glaucoma Summary in Clinic 360 displays analyzed data from HFA Analyzer and OCT Analyser the following: HFA Data Glaucome Hemifield Test (GHT) Guided Progression Analysis (GPA) Mean Deviation (MD) and Visual Field Index (VFI) trend plots OCT Data Average Cup/Disc Ratio | N/A | OCT Data o Average Cup/Disc Ratio o Average RNFL Thickness (overall average thickness trend that shows the overall average thickness from the CIRRUS RNFL Calculation Circle for each exam) o Average Thickness of GCL-IPL (overall average thickness of the GCL + IPL is calculated by dividing the selected GCA annulus into 6 sectors and taking the average for each exam) | Visual Field Data: o Graytone plot, Pattern deviation, Baseline o Deviation from Baseline and Guided Progression Analysis (GPA) o Display of the MD and VFI trend plots | Different, no impact on S&E IOP trending is specific to Clinic 360 GHT is specific to Clinic 360 |
ZEISS classification: Restricted
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| Attributes / Specifications | Subject Device: Clinic 360 v. 1.0 (KTBD) | Predicate Device: Harmony (K232555) | Reference Device 1: Cirrus HD-OCT 6000 v.11.7 (K233933) | Reference Device 2: HFA II, HFA II-i (K093213) | SE Analysis |
| --- | --- | --- | --- | --- | --- |
| | Average RNFL Thickness Average Thickness of GCL-IPL Includes the presentation of intraocular pressure and historical treatment interventions from Electronic Medical Records (EMR) | | | | |
| Reference Database Analytics | CIRRUS OCT measurements can be compared against the following reference data: o Reference database 1 (RDB1) o Reference database 2 (RDB2) | N/A | Same | N/A | Same |
| Macular Scan Analysis | Macular Single Eye Analysis or Macular Thickness Analysis (MTA) analyzes data from CIRRUS OCT Macular Cube 512x128 and 200x200 scans by using algorithms implemented by Clinic 360's OCT Analyzer. | N/A | Same | N/A | Same |
| Optic Disk Analysis | Optic Disc Analysis allows for the clinician to assess optic nerve health and look for signs of glaucoma by viewing structural scans of the Optic Nerve Head (or Optic Disc). It leverages the CIRRUS Optic Disc 200 x 200 scan to | N/A | Same | N/A | Same |
ZEISS classification: Restricted
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| Attributes / Specifications | Subject Device: Clinic 360 v. 1.0 (KTBD) | Predicate Device: Harmony (K232555) | Reference Device 1: Cirrus HD-OCT 6000 v.11.7 (K233933) | Reference Device 2: HFA II, HFA II-i (K093213) | SE Analysis |
| --- | --- | --- | --- | --- | --- |
| | measure the structure of the Optic Nerve | | | | |
| Wellness Analysis | Wellness Analysis displays a combined or stitched view of data from the Macular Thickness analysis and Optic Disc Analysis, of both eyes, acquired on the same day | N/A | Same | N/A | Same |
ZEISS classification: Restricted
{16}
ZEISS
K260694 - 510(k) Summary
K260694
Page 13 of 13
### 8.0 Conclusion
Software validation and verification testing demonstrate that ZEISS CLINIC 360 performs as intended and meets its specifications. Use Scenarios involving CLINIC 360 features were validated in a moderated usability study with actual clinicians (optometrists, and ophthalmologists). Participants were directly observed performing tasks and actions necessary to use features in use scenarios. Observational use data was collected for each action performed. Ease-of-use ratings were collected upon the completion of each task. Any observed usability issues or negative observational ratings were subjected to a root cause analysis.
The CLINIC 360 usability validation study provided sufficient evidence that CLINIC 360 v1.0 features are safe and effective in use. All use scenarios met acceptance criteria and passed summative usability criteria. Observations of user interactions during representative use scenarios demonstrated that all tasks were performed without introducing new or previously unidentified hazards or risks.
ZEISS classification: Restricted
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.