Cleerly Labs is a web-based software application that is intended to be used by trained medical professionals as an interactive tool for viewing and analyzing cardiac computed tomography (CT) data for determining the presence and extent of coronary plaques and stenosis in patients who underwent Coronary Computed Tomography (CCTA) for evaluation of CAD or suspected CAD. This software post processes CT images obtained using any Computed Tomography (CT) scanner. The software provides tools for the measurement and visualization of coronary arteries. The software is not intended to replace the skill and judgment of a qualified medical practitioner and should only be used by people who have been appropriately trained in the software's functions, capabilities and limitations. Users should be aware that certain views make use of interpolated data. This is created by the software based on the original data set. Interpolated data may give the appearance of healthy tissue in situations where pathology that is near or smaller than the scanning resolution may be present.
Device Story
Cleerly Labs is a web-based post-processing software for cardiac CT angiographic scans; used by trained medical professionals in clinical settings. Input: DICOM-compliant CT images. Operation: software provides tools for manual and semi-automatic segmentation of coronary arteries; allows user-editing of lumen/vessel walls and demarcation of stenosis/stents. Output: visual images, distance/volume measurements (lumen, vessel wall, plaque), remodeling index, and stenosis metrics. Healthcare providers use these outputs to assist in determining treatment paths for patients with suspected CAD. Benefits: provides standardized visualization and quantification of coronary anatomy to aid clinical decision-making.
Clinical Evidence
No clinical testing conducted. Evidence consists of bench-only verification and validation. Performance evaluated by comparing software output to expert reader ground truth. Metrics reported: Pearson Correlation Coefficients (0.53–0.94) and Bland-Altman agreement (96-97%) for various volume measurements. Usability testing performed with board-certified radiologists and technicians. Cybersecurity penetration testing performed.
Technological Characteristics
Web-based client-server application; DICOM 3.0 compliant. Features manual and semi-automatic segmentation, multiplanar reformat (MPR), and 2D/3D visualization. Quantification includes Hounsfield Unit (HU) analysis, volumetric measurements (NCP, CP, LD-NCP), and stenosis metrics. Software developed per ANSI/AAMI/IEC 62304; risk management per ISO 14971. Cybersecurity controls implemented per FDA guidance.
Indications for Use
Indicated for trained medical professionals to view and analyze cardiac CT data to determine presence and extent of coronary plaques and stenosis in patients undergoing CCTA for evaluation of CAD or suspected CAD.
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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November 5, 2019
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Cleerly Inc. % John J. Smith, M.D., J.D. Regulatory Counsel Hogan Lovells US LLP Columbia Square 555 Thirteenth Street, NW WASHINGTON DC 20004
Re: K190868
Trade/Device Name: Cleerly Labs Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: October 9, 2019 Received: October 9, 2019
Dear Dr. Smith:
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. 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 located 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.
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
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4. Subpart A) for combination products; 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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). 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-device-advice-comprehensive-regulatoryassistance/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,
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
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# Indications for Use
510(k) Number (if known) K190868
Device Name Cleerly Labs
### Indications for Use (Describe)
Cleerly Labs is a web-based software application that is intended to be used by trained medical professionals as an interactive tool for viewing and analyzing cardiac computed tomography (CT) data for determining the presence and extent of coronary plaques and stenosis in patients who underwent Coronary Computed Tomography (CCTA) for evaluation of CAD or suspected CAD. This software post processes CT images obtained using any Computed Tomography (CT) scanner. The software provides tools for the measurement and visualization of coronary arteries.
The software is not intended to replace the skill and judgment of a qualified medical practitioner and should only be used by people who have been appropriately trained in the software's functions, capabilities and limitations. Users should be aware that certain views make use of interpolated data. This is created by the software based on the original data set. Interpolated data may give the appearance of healthy tissue in situations where pathology that is near or smaller than the scanning resolution may be present.
| Type of Use (Select one or both, as applicable) | | |
|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|
| <table border="0"><tr><td><div><span style="font-size:12pt"><img src="checkbox_checked.png"/></span>Prescription Use (Part 21 CFR 801 Subpart D)</div></td></tr><tr><td><div><span style="font-size:12pt"><img src="checkbox_unchecked.png"/></span>Over-The-Counter Use (21 CFR 801 Subpart C)</div></td></tr></table> | <div><span style="font-size:12pt"><img src="checkbox_checked.png"/></span>Prescription Use (Part 21 CFR 801 Subpart D)</div> | <div><span style="font-size:12pt"><img src="checkbox_unchecked.png"/></span>Over-The-Counter Use (21 CFR 801 Subpart C)</div> |
| <div><span style="font-size:12pt"><img src="checkbox_checked.png"/></span>Prescription Use (Part 21 CFR 801 Subpart D)</div> | | |
| <div><span style="font-size:12pt"><img src="checkbox_unchecked.png"/></span>Over-The-Counter Use (21 CFR 801 Subpart C)</div> | | |
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# 510(k) Summary Cleerly Labs (K190868)
#### 1. General Information
## Table 1: Cleerly, Inc. Information
| 510(k) Sponsor | Cleerly, Inc. |
|----------------|---------------------------------------------------|
| Address | 101 Greenwich St, Suite 11C<br>New York, NY 10006 |
| Phone/Fax # | 646-362-4255 |
| Contact Person | Kimberly Elmore |
| Date Prepared | October 9, 2019 |
#### 2. Device Information
Table 2: Cleerly Labs Information
| Trade Name | Cleerly Labs (K190868) |
|-------------------|----------------------------------------------------------------|
| Common Name | System, Image Processing, Radiological |
| Regulation Number | 21 CFR 892.2050 Picture Archiving And Communications<br>System |
| Classification | Class II |
| Product Code | LLZ |
| Predicate Device | Autoplaque (K122429) |
| Reference Device | SurePlaque (K043111) |
#### Device Description 3.
Cleerly Labs is a post-processing web-based software application that enables trained medical professionals to analyze 2D/3D coronary images acquired from Computed Tomography (CT) angiographic scans. The software is a post-processing tool that aids in determining treatment paths for patients suspected to have coronary artery disease (CAD).
To aid in image analysis, tools are provided to users to navigate and manipulate images. Manual and semi-automatic segmentation of the coronary artery images are possible using editing tools, thus providing the user the flexibility to perform the coronary analysis.
The output of the software includes visual images of coronary arteries, distance and volume measurements of the lumen wall, vessel wall, and plaque, remodeling index as well as stenosis diameter and area. These measurements are based on user segmentation.
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#### Indications for Use 4.
Cleerly Labs is a web-based software application that is intended to be used by trained medical professionals as an interactive tool for viewing and analyzing cardiac computed tomography (CT) data for determining the presence and extent of coronary plaques and stenosis in patients who underwent Coronary Computed Tomography Angiography (CCTA) for evaluation of CAD or suspected CAD. This software post processes CT images obtained using any Computed Tomography (CT) scanner. The software provides tools for the measurement and visualization of coronary arteries.
The software is not intended to replace the skill and judgment of a qualified medical practitioner and should only be used by people who have been appropriately trained in the software's functions, capabilities and limitations. Users should be aware that certain views make use of interpolated data. This is data that is created by the software based on the original data set. Interpolated data may give the appearance of healthy tissue in situations where pathology that is near or smaller than the scanning resolution may be present.
#### ട. Software Functionality
Users of Cleerly Labs can edit the lumen and vessel walls of the suggested segmentation, and demarcate stenosis and stents, to more efficiently perform coronary analysis. Users are provided with image viewing tools to aid in their analysis. Plaque and stenosis measurements are output based on the combination of fully user-editable segmentation and user-placed demarcations of coronary artery characteristics.
#### Cybersecurity 6.
Cleerly Labs has implemented security features for device and data protection. Cybersecurity requirements, risk analysis, and mitigation was addressed in accordance with FDA guidance, "Content of Premarket Submission for Management of Cybersecurity in Medical Devices".
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#### 7. Comparison of Technological Characteristics to the Predicate Devices
| Feature | Subject Device:<br>Cleerly Labs (K190868) | Predicate Device:<br>Autoplaque (K122429) |
|---------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|
| Operating Requirements | | |
| Platform | Client-Server Google<br>Chrome Application | Windows OS |
| Image Input | DICOM 3.0 Compliant (or<br>higher) | DICOM 3.0 Compliant (or<br>higher) |
| Image Acquisition | CT Images | CT Images |
| Navigation Tools | Window Width/Level Zoom Pan Rotation Tracker | Window Width/Level Zoom Pan Rotation Tracker |
| Visualization / Edit<br>Tools | Lumen Wall Vessel Wall Segment Stenosis Centerline Plaque Chronic Total Occlusion (CTO) Stent Exclude Distance | Lumen Wall Vessel Wall Segment Stenosis Centerline Plaque Exclude Distance |
| 2D Imaging | Yes | Yes |
| 3D Imaging | Yes | Yes |
| Multiplanar<br>Reformat (MPR) | Yes | Yes |
| Segmentation of<br>region of interest | Manual and Semi-Automatic | Manual and Semi-Automatic |
| Feature | Subject Device:<br>Cleerly Labs (K190868) | Predicate Device:<br>Autoplaque (K122429) |
| Plaque<br>Composition<br>Overlay | User-Modifiable<br>Thresholds:<br>• Non-Calcified Plaque (NCP)<br>• Calcified Plaque (CP)<br>• Low-Density Non-Calcified Plaque (LD-NCP) | User-Modifiable<br>Thresholds:<br>• Non-Calcified Plaque (NCP)<br>• Calcified Plaque (CP)<br>• Low-Density Non-Calcified<br>Plaque (LD-NCP) |
| Quantification | | |
| Hounsfield Unit<br>(HU) | Yes | Yes |
| Distance<br>Measurements | • Vessel<br>• Lesion<br>• Length | • Vessel<br>• Lesion<br>• Length |
| Volumetric<br>Measurements | • Total Vessel<br>• Total Lumen<br>• Non-Calcified Plaque<br>(NCP)<br>• Low-Density Non-<br>Calcified Plaque (LD-<br>NCP)<br>• Calcified Plaque (CP)<br>• Total Plaque | • Total Vessel<br>• Non-Calcified Plaque (NCP)<br>• Low-Density Non-Calcified<br>Plaque (LD-NCP)<br>• Calcified Plaque (CP)<br>• Total Plaque |
| Remodeling Index | Yes | Yes |
| Stenosis | • % Area Stenosis<br>• % Diameter Stenosis | • % Area Stenosis<br>• % Diameter Stenosis |
## Table 3: Device Features Comparison Table
Cleerly Labs Traditional 510(k) Submission
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# clesrly
#### Performance Data 8.
Software verification and validation activities were performed in accordance with the standards identified in Table 4 below, in addition to the FDA Guidance documents, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" and "Content of Premarket Submission for Management of Cybersecurity in Medical Devices."
Cleerly Labs Traditional 510(k) Submission
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The software was considered as a "moderate" level of concern, since "a malfunction of, or a latent design flaw in, the Software Device could lead to an erroneous diagnosis or a delay in delivery of appropriate medical care that would likely lead to Minor Injury."
During product development, potential hazards were controlled by a risk management plan including activities of risk analysis, risk mitigation and risk-benefit analysis. Verification, validation and usability testing data demonstrated that the device meets all of its specification, including compliance with the following standards in Table 4.
| Standards<br>No | Standard<br>Organization | Title | Version | Date |
|-----------------|--------------------------|----------------------------------------------------------------------------------------------|-------------------------------|------------|
| PS 3.1-<br>3.20 | NEMA | Digital Imaging<br>And<br>Communications In<br>Medicine (DICOM)<br>Set | 2016 | 06-27-2016 |
| 62304 | ANSI/AAMI/<br>IEC | Medical device<br>software - Software<br>life cycle processes | 2006+AMD1:2015<br>Edition 1.1 | 06-26-2016 |
| 14971 | ISO | Medical Devices -<br>Application Of Risk<br>Management To<br>Medical Devices | 2007<br>Edition 2.0 | 03-01-2007 |
| 62366-1 | ANSI AAMI<br>IEC | Medical Devices -<br>Part 1: Application<br>Of Usability<br>Engineering To<br>Medical Device | 2015<br>Edition 1.1 | 02-24-2015 |
Table 4: Standards applied to device development
Additionally, the performance of the software was compared to ground truth results produced by expert readers. Pearson Correlation Coefficients and Bland-Altman Agreements between Cleerly Labs and expert reader results is reported Table 5.
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| Output | Pearson Correlation | Bland-Altman Agreement |
|-------------------------|---------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Coefficient | |
| Lumen Volume | 0.91 | 96% |
| Vessel Volume | 0.93 | 97% |
| Total Plaque Volume | 0.85 | તે તે જેવી જેવી સવલતો પ્રાપ્ય થયેલી છે. આ ગામનાં લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો |
| Calcified Plaque Volume | 0.94 | તે તે જેવી જેવી સવલતો પ્રાપ્ય થયેલી છે. આ ગામનાં લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો |
| Non-Calcified Plaque | 0.74 | તેરજ |
| Volume | | |
| Low-Density-Non- | 0.53 | 97% |
| Calcified Plaque Volume | | |
## Table 5: Cleerly Labs Performance
## Non-Clinical Testing:
Safety, performance, cybersecurity and usability of Cleerly Labs have been evaluated and verified in accordance with software pre-defined specifications and applicable performance standards through software verification and validation testing.
- Verification and validation testing confirmed that the software requirements ● fulfilled the pre-defined acceptance criteria.
- A Usability test was conducted with U.S. board certified radiologists and ● technicians to ensure the clinical acceptability of the device.
- The machine learning algorithms were evaluated by comparing the output of the ● software to that of the ground truth using multiple ground truthers.
- A side-by-side comparison testing was conducted to evaluate the simple rule-based ● calculations as they compared to an already cleared device with a similar intended use.
- . A cybersecurity penetration testing was conducted to ensure that there were no unidentified vulnerabilities and that the appropriate risk control measures were implemented to protect from known vulnerabilities when the device is subject to a source of threat.
The non-clinical verification and validation test results established that the device meets its design requirements and intended use. During the development, potential hazards were evaluated and controlled through risk management activities. The performance testing demonstrates that the device meets all its specifications.
## Clinical Testing
No clinical testing was conducted to demonstrate safety or effectiveness as the device's non-clinical (bench) testing was sufficient to support the intended use of the device.
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## 9. Conclusion
Based on the information submitted in this premarket notification, and based on the indications for use, technological characteristics and performance testing comparison to the predicate, the Cleerly Labs device raises no new questions of safety or effectiveness and is substantially equivalent to the predicate in terms of safety, efficacy, and performance.
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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.