The AngioCloud Service enables visualization and measurement of cerebral blood vessels for preoperational planning and sizing for neurovascular interventions and surgery. General functionalities are provided such as: - Segmentation of neurovascular structures - Centerline calculation - Visualization of 3D vascular images - Measurement and annotation tools - Case sharing and reporting tools Information provided by the software is not intended in any way to eliminate, replace, or substitute for, in whole or in part, the healthcare provider's judgment and analysis of the patient's condition.
Device Story
AngioCloud Service is a web-based application for preoperational planning in neurovascular interventions. It accepts 3D rotational angiography (3D-RA) DICOM datasets from Philips and Siemens X-ray systems. The device uses level-set methods for segmentation of neurovascular structures, centerline calculation, and 3D visualization. Physicians access the service via standard web browsers on desktop or mobile platforms. The software provides measurement and annotation tools to assist in sizing for surgery. It does not use AI or machine learning. The output is visualized by the clinician to aid in surgical planning; it does not replace clinical judgment. The device is intended for use by physicians in clinical settings. It benefits patients by providing interactive 3D vascular models to improve pre-surgical planning accuracy.
Clinical Evidence
Bench testing only. Performance evaluated using anatomically relevant phantom models derived from clinical scans (Siemens Artis Q, Philips Allura Xper FD 20/20). Segmentation performance assessed using Hausdorff distance (dH) and DICE coefficient (DC) comparing 'Automatic' and 'Advanced' methods against a reference standard. All metrics met pre-defined acceptance criteria. Software verification and validation conducted per FDA guidance for moderate level of concern software.
Technological Characteristics
Standalone web-application; compatible with Windows, Mac, Android, iOS. Uses VTK (Visualization Toolkit) and VMTK (Vascular Model Toolkit) libraries. Segmentation based on level-set methods. Connectivity via secure internet file server; WebGL for 3D display. Complies with NEMA PS 3.1-3.20 (DICOM), ISO 14971, IEC 62304, ISO/IEC 10918-1, and ANSI/AAMI/IEC 62366-1.
Indications for Use
Indicated for visualization and measurement of cerebral blood vessels for preoperational planning and sizing for neurovascular interventions and surgery.
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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AngioCloud, LLC % Bahram Parvinian Founder & Principal Consultant Lighthouse Regulatory Consulting Group, LLC 3 Harrowgate CT POTOMAC MD 20854
April 28, 2022
#### Re: K211713
Trade/Device Name: AngioCloud Service Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ Dated: March 14, 2022 Received: March 23, 2022
Dear Bahram Parvinian:
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 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for
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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.
Jessica Lamb, Ph.D. Assistant Director Mammography Ultrasound and Imaging Software Branch 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
Enclosure
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## Indications for Use
510(k) Number (if known) K211713
Device Name AngioCloud Service
Indications for Use (Describe)
The AngioCloud Service enables visualization and measurement of cerebral blood vessels for preoperational planning and sizing for neurovascular interventions and surgery.
General functionalities are provided such as:
- Segmentation of neurovascular structures
- · Centerline calculation
- · Visualization of 3D vascular images
- · Measurement and annotation tools
- · Case sharing and reporting tools
Information provided by the software is not intended in any way to eliminate, replace, or substitute for, in whole or in part, the healthcare provider's judgment and analysis of the patient's condition.
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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# 510(k) Summary
# K211713
#### Date Prepared
April 25, 2022
Submission Number K211713
## 510(k) Submitter
AngioCloud, LLC 1 Glenlake Parkway, Suite 200 Atlanta, GA 30328
| Official Contact: | James Lewis |
|-------------------|-----------------------|
| Telephone: | +1-803-269-1545 |
| Email: | james@angiocloud.com) |
#### Primary Contact
Bahram Parvinian M.S., Principal Consultant Lighthouse Regulatory Consulting Group LLC Telephone: +1-301-938-7669 Email: bahram(@lighthouseregulatory.com
LLZ
Class II
#### Device Information
| Trade/Proprietary Name | AngioCloud Service |
|------------------------|------------------------------------------------|
| Common Device Name | System, Image processing, Radiological |
| Classification Name | Medical Image Management and Processing System |
21 CFR 892.2050
Regulation Number Product Code Classification
## Predicate Device
EndoVantage SurgicalPreview™ (K171534)
## Reference Device
Visible Patient Suite (K212896)
#### Device Description
The AngioCloud Service is a standalone web-application which intends to receive a 3D rotational angiography (3D-RA) DICOM dataset and provide interactive views to physicians for the visualization and measurement of cerebral vasculatures during preoperational planning. Physicians can query a 3D-RA dataset directly via the AngioCloud Service provided that they have an internet browser with access to the internet. General functionalities are provided such as:
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- Segmentation of neurovascular structures ●
- . Centerline calculation
- Visualization of 3D vascular images
- . Measurement and annotation tools
- Case sharing and reporting tools
The AngioCloud Service runs as a web application on a standard Windows or Mac OS X based computer and can also be accessed on mobile web browsers, but with limited software functionalities enabled. The AngioCloud Service does not use any artificial intelligence or machine learning functionality and the main segmentation algorithm is based on level-set methods. The Visualization Toolkit (VTK) and Vascular Model Toolkit (VMTK) serve as important software libraries that the underlying algorithm of AngioCloud Service leverages for a number of computational operations such as 3D segmentation, geometric analysis, mesh generation, and surface data analysis for image-based modeling of blood vessels. The device does not contact the patient nor does it control any life-sustaining devices. Information provided by the AngioCloud Service is not intended in any way to eliminate, replace, or substitute for, in whole or in part, the healthcare provider's judgment and analysis of the patient's condition.
The computer hardware used to access the web application must meet the following minimum requirements:
- Operating System: Windows 10 or later, Linux, Android Lollipop and later, iOS 12 or later, Mac . OS X 10.10 or later
- Memory: 4 GB RAM
- Hard Disk: At least 200 MB of free hard disk space
- Monitor 1024x768 resolution with 16-bit color ●
- Web Browser: ●
- Google Chrome: since version 83 o
- Firefox: since version 77 o
#### Indications for Use
The AngioCloud Service enables visualization and measurement of cerebral blood vessels for preoperational planning and sizing for neurovascular interventions and surgery.
General functionalities are provided such as:
- Segmentation of neurovascular structures
- Centerline calculation ●
- . Visualization of 3D vascular images
- Measurement and annotation tools .
- Case sharing and reporting tools ●
Information provided by the software is not intended in any way to eliminate, replace, or substitute for, in whole or in part, the healthcare provider's judgment and analysis of the patient's condition.
#### Comparison of Technological Characteristics with the Predicate Device
The subject device has the same intended use and similar indications for use and technological characteristics (e.g. software for visualization and measurement of cerebral blood vessels for
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preoperative planning) to the predicate device (K171534). The differences in technological characteristics between the subject and predicate devices are explained below. AngioCloud does not believe that these differences raise different questions of safety and effectiveness.
- In the predicate device, the input data is a DICOM dataset from all CT scanner vendors, whereas . the subject device only accepts volumetric DICOM data acquired by 3D-RA scanners from the Phillips and Siemens X-ray systems. These technological characteristics have undergone testing to ensure the device is substantially equivalent to the predicate.
- In the predicate device, the patient-specific anatomical models that are output by the ● SurgicalPreview™ software are generated by operators who are in-house EndoVantage employees and allow the end-user clinician to review and comment, whereas the subject device generates anatomical models by the Segmentation Engine. The end-user clinician of the subject device can manually adjust the segmentation threshold or choose an 'Auto' option where an estimated segmentation threshold is adopted for segmentation. These technological characteristics have undergone testing to ensure the device is substantially equivalent to the predicate.
- The predicate device is not indicated for use on a mobile platform whereas the AngioCloud Service ● is compatible with and can be accessed through a mobile device web browser. Mobile platform access allows for the visualization and sharing of 3D vascular images through the 3D Viewer and for quick ruler and centerline measurements. All other functionalities of the AngioCloud Service are disabled during use on a mobile web browser. This technological characteristic has undergone testing and has been considered as part of the risk assessment to ensure the device is substantially equivalent to the predicate.
- The predicate device is not indicated for case sharing, whereas the AngioCloud Service allows for de-identified cases to be shared between authorized users. Case sharing features have been evaluated through the risk assessment and software verification testing to ensure that this technological characteristic is substantially equivalent to the predicate.
The predicate device has the following additional functionalities which AngioCloud Service does not offer:
- Volume measurements (e.g. aneurysmal volume)
- . Line measurements on aneurysm (e.g. aneurysmal neck width and dome height)
- Import patient data via study creation list ●
- 2D cross-sectional slice review of vessel (e.g. diameter measurement tool) ●
- Deployment video tool
- Deployment simulation report .
AngioCloud believes that the AngioCloud Service's indications for use and technological characteristics are substantially equivalent to the legally marketed predicate device (K171534) based on the information summarized in Table 1 - Substantial Equivalence Summary.
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| Table 1 - Substantial Equivalence Summary | | |
|-------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Subject Device | Primary Predicate Device |
| Trade Name | AngioCloud Service | SurgicalPreview™ |
| Manufacturer | AngioCloud Inc | Endovantage |
| 510(k) Number | K211713 | K171534 |
| Class | II | II |
| Device Classification<br>Name | System, Image processing,<br>Radiological | Software For Visualization of<br>Vascular Anatomy And<br>Intravascular Devices |
| Regulation Number | 892.2050 | 892.2050 |
| Product Code | LLZ | PZO |
| Indications for Use | The AngioCloud Service enables<br>visualization and measurement of<br>cerebral blood vessels for<br>preoperational planning and sizing<br>for neurovascular interventions and<br>surgery.<br><br>General functionalities are provided<br>such as:<br>Segmentation of<br>neurovascular structuresCenterline calculationVisualization of 3D<br>vascular imagesMeasurement and<br>annotation toolsCase sharing and reporting<br>tools<br>Information provided by the<br>software is not intended in any way<br>to eliminate, replace, or substitute<br>for, in whole or in part, the<br>healthcare provider's judgment and<br>analysis of the patient's condition. | SurgicalPreview™ enables<br>visualization and measurement of<br>vessels for preoperational planning<br>and sizing for neurovascular<br>interventions and surgery.<br>SurgicalPreview™ also allows for<br>the ability to computationally model<br>the placement and deployment of<br>neurointerventional devices.<br><br>General functionalities are provided<br>such as:<br>Segmentation of<br>neurovascular structuresAutomatic centerline<br>detectionVisualization of CT scan<br>images for 2D review and<br>3D reconstructionMeasurement and<br>annotation toolsReporting tools<br>Information provided by the<br>software is not intended in any way<br>to eliminate, replace, or substitute<br>for, in whole or in part, the<br>healthcare provider's judgment and<br>analysis of the patient's condition. |
| Interface to Image<br>Sources | 3D rotational angiography (3D-RA)<br>DICOM image data | CT DICOM image data |
| Import of Patient Data | Manual through keyboard/mouse,<br>automatic import with image file | Manual through keyboard/mouse,<br>automatic import with image file,<br>study creation list |
| List Image<br>Functionality | Deleting, anonymizing, search | Same |
| Image Processing | Segmentation by Segmentation<br>Engine with end-user clinical<br>review and comment. | Segmentation by EndoVantage<br>operator with end-user clinical<br>review and comment. |
| | Subject Device | Primary Predicate Device |
| | End-user can manually adjust the<br>segmentation threshold by choosing<br>the 'Advanced' option or apply an<br>estimated segmentation threshold<br>by choosing the 'Automatic' option. | |
| 3D Assessment | Linear (length and diameter)<br>measurements, centerline<br>measurement | Linear (length and diameter)<br>measurements, volume<br>measurements. |
| Image and 3D Display | Orthogonal, color volume<br>rendering, and 3D visual view of<br>centerline | Orthogonal, color volume<br>rendering, 2D slice review, active<br>presets, 3D view of assemblies of<br>devices |
| DICOM Support | Compatible with 3D-RA DICOM<br>datasets, storage SCP, import<br>DICOM files, DICOM compliance<br>for 3D-RA CT, storage SCU,<br>query/retrieve SCU | Compatible with all scanner vendor<br>DICOM datasets, storage SCP,<br>import DICOM files, DICOM<br>compliance for CT and enhanced<br>CT, import from DICOMDIR,<br>storage SCU, query/retrieve SCU |
| Computer OS<br>Compatibility | MS Windows and Mac OS | Same |
| Mobile OS<br>Compatibility | Yes, mobile browser compatible<br>with limited functionalities | No |
| Data Interchange /<br>Transfer Method | Secure Internet File Server | Same |
| Output File Format | Web browser via WebGL | Same |
| Preoperational<br>Planning | Yes | Same |
| Patient Contact | No | Same |
| Human Intervention for<br>Interpretation of<br>Images | Yes | Same |
Table 1 - Substantial Equivalence Summary
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## Performance Data
AngioCloud Service is designed in conformance with the following FDA recognized consensus standards:
- NEMA PS 3.1 3.20 (2016) Digital Imaging and Communications in Medicine (DICOM) Set ●
- ISO 14971:2019 Medical Devices Application of Risk Management to Medical Devices ●
- IEC 62304:2006/AMD 1:2015 - Medical Device Software - Software Life-Cycle Processes
- ISO/IEC 10918-1 First Edition 1994-02-15 Information technology Digital compression and ● coding of continuous-tone still images: Requirements and guidelines
- . ANSI/AAMI/IEC 62366-1:2015 Medical devices - Part 1: Application of usability engineering to medical devices
All specifications of the AngioCloud Service are verified by a number of tests before release. Nonclinical testing, including verification tests, evaluated:
- DICOM images importation ●
- Case management ●
- Auto-segmentation and manual segmentation ●
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- Visualization of 3D vascular images (on desktop and mobile platforms)
- Centerline calculation (on desktop and mobile platforms)
- Measurements and annotation tool (on desktop and mobile platforms) ●
- Case sharing and reporting tool .
Software verification and validation testing were conducted and documentation was provided as recommended by FDA's Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices. The AngioCloud Service is considered a "moderate" level of concern, since malfunction of the software could cause a delay in generating information for preoperative planning.
Performance testing was conducted to evaluate the AngioCloud Service segmentation module and the device met the pre-defined acceptance criteria for each performance evaluation metric. Anatomically relevant phantom models derived from clinical scans were acquired using Siemens (Artis Q with PURE) and Phillips (Allura Xper FD 20/20) Angio suites. The scans were segmented using AngioCloud Service's 'Automatic' and 'Advanced' segmentation methods and these segmentations were compared to the reference standard. The Hausdorff distance (dH) and DICE coefficient (DC) were used to evaluate segmentation performance. Both the mean DC and mean dH for each group met the acceptance criteria.
AngioCloud believes that the aforementioned non-clinical testing demonstrates that the AngioCloud Service is designed in such a way that, when used in accordance with its indications for use and labeling, the safety and effectiveness, as well as the performance characteristics of the subject device are substantially equivalent to the predicate device.
#### Substantial Equivalence Conclusion
AngioCloud Service has the same intended use and performance characteristics as the predicate device. Based on the performance data and software verification testing, it can be concluded that the differences in technological characteristics between the AngioCloud Service and the predicate device do not raise different questions of safety and effectiveness. The indications for use, technological characteristics, and performance characteristics for the AngioCloud Service are assessed to be substantially equivalent to those of the predicate device.
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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.
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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.
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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.
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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.