Ceevra Reveal 2.0 is intended as a medical imaging system that allows the processing, review, analysis, communication and media interchange of multi-dimensional digital images acquired from CT or MR imaging devices. It is also intended as software for preoperative surgical planning, and as software for the intraoperative display of the aforementioned multi-dimensional digital images. Ceevra Reveal 2.0 is designed for use by health care professionals and is intended to assist the clinician who is responsible for making all final patient management decisions.
Device Story
Software-only medical imaging system; processes DICOM CT/MR images into 3D/VR formats. System comprises two components: cloud-based Processing Interface (used by imaging technicians for image selection and segmentation) and mobile Viewer Interface (used by clinicians/surgeons on off-the-shelf mobile devices). VR viewing requires compatible off-the-shelf VR headset. Used in hospitals/clinics for preoperative planning and intraoperative display. Clinicians review 3D/VR models to assist in surgical decision-making; device does not integrate with surgical navigation systems. Benefits include enhanced visualization of patient anatomy to support surgical planning and intraoperative reference.
Clinical Evidence
Bench testing only. Software verification and validation performed per IEC 62304:2006/AC:2008 and FDA guidance for software and cybersecurity. No clinical data provided.
Technological Characteristics
Software-only device; cloud-based processing interface; mobile application viewer interface. Compatible with off-the-shelf mobile devices and VR headsets. DICOM-compliant. Software life cycle processes per IEC 62304.
Indications for Use
Indicated for use by healthcare professionals for processing, reviewing, and analyzing multi-dimensional CT or MR images for preoperative surgical planning and intraoperative display to assist in clinical decision-making.
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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July 10th, 2018
Ceevra, Inc. % Rory Carrillo Quality/Regulatory RAC Medical LLC 368 San Carlos St. SAN FRANCISCO, CA 94104
Re: K173274
Trade/Device Name: Ceevra Reveal 2.0 Regulation Number: 21 CFR 892.2050 Regulation Name: Picture Archiving And Communications System Regulatory Class: Class II Product Code: LLZ Dated: October 9, 2017 Received: October 12, 2017
Dear Rory Carrillo:
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 (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803); good
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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.
Jeff Ryges
for Robert A. Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K173274
Device Name Ceevra Reveal 2.0
### Indications for Use (Describe)
Ceevra Reveal 2.0 is intended as a medical imaging system that allows the processing, review, analysis, communication and media interchange of multi-dimensional digital images acquired from CT or MR imaging devices. It is also intended as software for preoperative surgical planning, and as software for the intraoperative display of the aforementioned multidimensional digital images. Ceevra Reveal 2.0 is designed for use by health care professionals and is intended to assist the clinician who is responsible for making all final patient management decisions.
Type of Use (Select one or both, as applicable)
| <div> <span style="font-size: 16px;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) </div> | <div> <span style="font-size: 16px;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) </div> |
|------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------|
|------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------|
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Image /page/3/Picture/0 description: The image shows the logo for CEEVRA. The logo consists of a stylized letter 'C' formed by a series of blue curved lines that resemble waves or a digital signal. Below the symbol, the word "CEEVRA" is written in a sans-serif font, also in blue, matching the color of the symbol above.
# Section 5. 510(k) Summary
#### 1. General Information
| 510(k) Sponsor | Ceevra, Inc. |
|-----------------------|----------------------------|
| Address | 180 Sansome St., 2nd Floor |
| | San Francisco CA 94104 |
| Correspondence Person | Rory A. Carrillo |
| | Quality and Regulatory |
| | Ceevra, Inc. |
| Contact Information | Email: rcarrillo@gmail.com |
| | Phone: 562-533-7010 |
| Date Prepared | June 8, 2018 |
#### 2. Proposed Device
| Proprietary Name | Ceevra Reveal 2.0 |
|---------------------|--------------------------------------------|
| Common Name | Reveal 2.0 |
| Classification Name | System, Image Processing, Radiological |
| Regulation Number | 21 CFR 892.2050 |
| Regulation Name | Picture archiving and communication system |
| Product Code | LLZ |
| Regulatory Class | II |
#### 3. Predicate Device
| Proprietary Name | Clarity Reveal 1.0 |
|------------------------|---------------------------------------------|
| Premarket Notification | K171356 |
| Classification Name | System, Image Processing, Radiological |
| Regulation Number | 21 CFR 892.2050 |
| Regulation Name | Picture archiving and communications system |
| Product Code | LLZ |
| Regulatory Class | II |
#### 4. Device Description
Ceevra Reveal 2.0 is a software-only device that allows clinicians to review CT and MR image data in three-dimensional (3D) format and/or stereoscopic 3D format (commonly known as virtual reality, or VR). The 3D and VR images are accessible through the Ceevra Reveal 2.0 mobile application which is used by clinicians for preoperative surgical planning and for the intraoperative display of the aforementioned 3D and VR images.
Ceevra, Inc., Traditional 510(k)
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Image /page/4/Picture/0 description: The image shows the logo for CEEVRA. The logo consists of a stylized crescent shape made up of blue lines that get progressively lighter in color. Below the crescent shape, the word "CEEVRA" is written in a sans-serif font, with the letters also transitioning from dark blue to light blue.
Ceevra Reveal 2.0 includes two main software-based user interface components, the Processing Interface and Viewer Interface. The Processing Interface is hosted on a cloud-based, virtual workstation and only accessed by authorized personnel, such as an imaging technician. The Processing Interface contains a graphical user interface where an imaging technician can select DICOM-compatible medical images, segment such imitiate processing into a 3D format. The Viewer Interface is a mobile application that is accessible via a compatible, touchscreen enabled, off-the-shelf mobile device to allow for clinicians to review the medical images in 3D and/or VR formats. Only when the compatible mobile device is used in conjunction with a compatible off-the-shelf VR headset can the surgeon view medical images in the VR format.
The product is intended to be used by trained medical professionals, including imaging technicians and clinicians/surgeons, and is used to assist in clinical decision making.
The 3D images generated using Ceevra Reveal 2.0 are intended to be used in connection with surgical operations in which CT or MR images are used for preoperative planning and/or reviewed intraoperatively.
The manner in which the 3D images are viewed and used does not vary between surgery types. The 3D images are viewed solely from the clinicians' compatible mobile devices, and are not viewed through or otherwise integrated with surgical navigation systems.
#### 5. Intended Use
Ceevra Reveal 2.0 is intended as a medical imaging system that allows the processing, review, analysis. communication and media interchange of multi-dimensional digital images acquired from CT or MR imaging devices. It is also intended as software for preoperative surgical planning, and as software for the intraoperative display of the aforementioned multi-dimensional digital images. Ceevra Reveal 2.0 is designed for use by health care professionals and is intended to assist the clinician who is responsible for making all final patient management decisions.
#### 6. Substantial Equivalence
| Feature/<br>Function | Proposed Device:<br>Ceevra Reveal 2.0 | Predicate Device:<br>Clarity Reveal 1.0 (K171356) |
|----------------------|--------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------|
| Intended Use | Intended as a medical imaging<br>system that allows the processing,<br>review, analysis, communication | Intended as a medical imaging<br>system that allows the processing,<br>review, analysis, communication and |
Ceevra, Inc., Traditional 510(k)
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| | and media interchange of multi-<br>dimensional digital images acquired<br>from CT or MR imaging devices. It<br>is also intended as software for<br>preoperative surgical planning, and<br>as software for the intraoperative<br>display of the aforementioned multi-<br>dimensional digital images. Ceevra<br>Reveal 2.0 is designed for use by<br>health care professionals and is<br>intended to assist the clinician who<br>is responsible for making all final<br>patient management decisions. | media interchange of multi-<br>dimensional digital images acquired<br>from CT or MR imaging devices. It<br>is also intended as software for<br>preoperative surgical planning.<br>Clarity Reveal is designed for use by<br>health care professionals and is<br>intended to assist the clinician who is<br>responsible for making all final<br>patient management decisions. |
|-------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Intended Users | Health care Professionals | Health care Professionals |
| Intended<br>Environment | Healthcare facilities such as<br>hospitals and clinics | Healthcare facilities such as hospitals<br>and clinics |
| Device Class | Class II | Class II |
| Image<br>Analysis<br>Features | Interactive<br>manipulation and<br>segment | Interactive<br>manipulation and segment |
| Preoperative<br>Use | Yes | Yes |
| Intraoperative<br>Use | Yes | No |
| Pan image | Pan image in any direction | No |
#### 7. Performance Data
Safety and performance of Ceevra Reveal 2.0 has been evaluated and verified in accordance with software specifications and applicable performance standards through software verification and validation testing. Additionally, the software validation activities were performed in accordance with IEC 62304:2006/AC: 2008- Medical device software - Software life cycle processes, 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. "
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Image /page/6/Picture/0 description: The image shows the logo for CEEVRA. The logo consists of a stylized letter C formed by a series of blue arcs that gradually decrease in size, creating a sense of motion or flow. Below the graphic is the word "CEEVRA" in a sans-serif font, with the letters in a teal or blue color.
#### 8. Conclusion
Based on the information submitted in this premarket notification, and based on the indications for use, technological characteristics and performance testing, Ceevra Reveal 2.0 raises no new questions of safety and effectiveness and is substantially equivalent to the predicate device in terms of safety, efficacy, and performance.
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Part 1 — Search, results, and everyday workflows 16 min
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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.
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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.
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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
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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.
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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.