K251215 · Philips Medical Systems Nederland B.V. · LLZ · Oct 2, 2025 · Radiology
Device Facts
Record ID
K251215
Device Name
Philips IntelliSpace Cardiovascular
Applicant
Philips Medical Systems Nederland B.V.
Product Code
LLZ · Radiology
Decision Date
Oct 2, 2025
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device, Pediatric
Indications for Use
Philips IntelliSpace Cardiovascular software product is an integrated multimodality image and information system designed to perform the necessary functions required for import, export, storage, archival, review, analysis, quantification, reporting and database management of digital cardiovascular images, waveforms and data related to cardiology. Philips IntelliSpace Cardiovascular offers support for third party applications in order to enable the use of commercially available tools and specified applications for analysis, quantification and reporting. It allows multiple users fast access to, and exchange of specific and/or multiple cardiology exams. Philips IntelliSpace Cardiovascular software runs on standard information technology hardware and software, utilizing the standard information technology operating systems and user interface. Communication and data exchange are done using standard protocols. Philips IntelliSpace Cardiovascular will also be made available for use on specified Cardiovascular Monitoring Systems, which use suitable hardware components. The modular design allows configurability to tailor the image import, archive and communications solution to one's particular budgetary and performance needs. The number of modalities and reporting and/or viewing sites can be configured per system.
Device Story
Philips IntelliSpace Cardiovascular is a multimodality image and information management system for cardiology departments. It ingests digital cardiovascular images, waveforms, and data from various modalities (e.g., ultrasound, cath, CT, MR). The system provides tools for storage, archival, review, analysis, quantification, and reporting. It supports third-party application integration and interfaces with hospital systems like HIS/EMR. The device operates on standard IT hardware and supports remote deployment, including cloud-based virtualization via Amazon EC2. Clinicians access the system via browser-based thin clients or workstations to review patient history and diagnostic images. The system facilitates clinical decision-making by providing centralized access to patient records, automated measurement tools, and reporting capabilities, ultimately streamlining cardiovascular care workflows.
Clinical Evidence
No clinical studies were required to support substantial equivalence. Evidence is based on non-clinical verification and validation activities, including risk analysis, user/product specification testing, and system-level performance testing.
Technological Characteristics
Software-based image management system running on standard IT hardware/servers. Supports virtualization (VMWare, Amazon EC2). Connectivity via TCP/IP, HL7, DICOM, and DICOMWeb (QIDO-RS, WADO-RS, STOW-RS). Browser-based thin client access (HTML5). Modular architecture allows configurable reporting and viewing sites.
Indications for Use
Indicated for use by clinicians as an integrated multimodality image and information system for the management, review, analysis, quantification, and reporting of digital cardiovascular images, waveforms, and patient data.
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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FDA U.S. FOOD & DRUG ADMINISTRATION
Philips Medical Systems Nederland B.V.
Roopak Krishna
Regulatory Affairs Manager
Veenpluis 6
5684 PC
Best
Netherlands
October 2, 2025
Re: K251215
Trade/Device Name: Philips IntelliSpace Cardiovascular
Regulation Number: 21 CFR 892.2050
Regulation Name: Medical Image Management And Processing System
Regulatory Class: Class II
Product Code: LLZ
Dated: September 5, 2025
Received: September 8, 2025
Dear Roopak Krishna:
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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K251215 - Roopak Krishna
Page 2
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 System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 systems (QS) regulation (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
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K251215 - Roopak Krishna
Page 3
(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-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,

Jessica Lamb, Ph.D.
Assistant Director
DHT8B: Division of Radiological Imaging Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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Philips IntelliSpace Cardiovascular
Page 8 of 71
| 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. | K251215 | ? |
| Please provide the device trade name(s). | | ? |
| Philips IntelliSpace Cardiovascular | | |
| Please provide your Indications for Use below. | | ? |
| Philips IntelliSpace Cardiovascular software product is an integrated multimodality image and information system designed to perform the necessary functions required for import, export, storage, archival, review, analysis, quantification, reporting and database management of digital cardiovascular images, waveforms and data related to cardiology.
Philips IntelliSpace Cardiovascular offers support for third party applications in order to enable the use of commercially available tools and specified applications for analysis, quantification and reporting. It allows multiple users fast access to, and exchange of specific and/or multiple cardiology exams.
Philips IntelliSpace Cardiovascular software runs on standard information technology hardware and software, utilizing the standard information technology operating systems and user interface. Communication and data exchange are done using standard protocols. Philips IntelliSpace Cardiovascular will also be made available for use on specified Cardiovascular Monitoring Systems, which use suitable hardware components.
The modular design allows configurability to tailor the image import, archive and communications solution to one's particular budgetary and performance needs. The number of modalities and reporting and/or viewing sites can be configured per system. | | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
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PHILIPS
K251215
# 510(k) SUMMARY
# Philips IntelliSpace Cardiovascular
This 510(k) summary of safety and effectiveness information is prepared in accordance with 21 CFR 807.92.
| Company's Name and Address | Philips Medical Systems Nederland B.V.
Veenpluis 4
5684 PC Best
The Netherlands |
| --- | --- |
| Contact Person | Roopak Krishna
Regulatory Affairs Manager
roopak.mt@philips.com
+31-687-963-967 |
| Date | April 18, 2025 |
| Device Tradename | Philips IntelliSpace Cardiovascular |
| Classification Name | Medical image management and processing system |
| Product Code | LLZ |
| Regulation Number | 21 CFR 892.2050 |
| Predicate Device | Philips IntelliSpace Cardiovascular (K153022) |
# 1. Device Description and Technological Characteristics
Philips IntelliSpace Cardiovascular is a comprehensive cardiac image and information management solution designed to provide clinicians with convenient access to the detailed records of all cardiac patients across their complete cardiovascular care continuum. The solution also provides hospital administrators and department managers with detailed operational information, as well as productivity and outcomes reporting. Key components include a wide range of detailed clinical modules that capture data during diagnostic/therapeutic procedures and patient follow-up encounters. Interfaces to other systems and devices within the cardiology departments as well as across the enterprise system, such as HIS/EMR, are available. The solution supports a remote deployment model.
# 2. Indications for Use
Philips IntelliSpace Cardiovascular software product is an integrated multimodality image and information system designed to perform the necessary functions required for import, export, storage, archival, review, analysis, quantification, reporting and database management of digital cardiovascular images, waveforms and data related to cardiology.
Philips IntelliSpace Cardiovascular offers support for third party applications in order to enable the use of commercially available tools and specified applications for analysis, quantification and reporting. It allows multiple users fast access to, and exchange of specific and/or multiple cardiology exams.
Philips IntelliSpace Cardiovascular software runs on standard information technology hardware and software, utilizing the standard information technology operating systems and user interface. Communication and data exchange are done using standard protocols. Philips IntelliSpace Cardiovascular will also be made available for use on specified Cardiovascular Monitoring Systems, which use suitable hardware components.
Document ID: D002023422
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PHILIPS
K251215
The modular design allows configurability to tailor the image import, archive and communications solution to one's particular budgetary and performance needs. The number of modalities and reporting and/or viewing sites can be configured per system.
# 3. Comparison of Technological Characteristics with the Predicate Device
IntelliSpace Cardiovascular 9.1 employs and further builds on the same fundamental scientific technology of IntelliSpace Cardiovascular 2.0 (predicate K153022) with enhanced or expanded functionalities in virtualization, imaging and communications protocols, echo measurements and calculations as well as tooling for user-configuration. Table 1 below summarizes the similarities and differences between the subject device and the predicate. None of these differences raises new safety and effectiveness question.
Table 1: Substantial Equivalence
Differences between the predicate and subject device in the table below:
| Comparison feature | Philips IntelliSpace Cardiovascular 9.1 (Subject device – K251215) | Philips IntelliSpace Cardiovascular 2.0 (Predicate device – K153022) |
| --- | --- | --- |
| Intended Use / Target population | | |
| Intended Use | Same as predicate device. | Philips IntelliSpace Cardiovascular software product is an integrated multimodality image and information system designed to perform the necessary functions required for import, export, storage, archival, review, analysis, quantification, reporting and database management of digital medical images. |
| Target population | Same as predicate device. | Patients undergoing radiology procedures and the users of the equipment. |
| Technology | | |
| Hardware Platform requirements | Same as predicate device. | Standard IT hardware |
| Operating Platform requirements | Same as predicate device. | Industry standard versions of server and desktop operating systems. |
| Browser support | Same as predicate device. | Thin clients are supported on HTML5 capable browsers. |
| Virtualization | Same as predicate device. | Server virtualization enabled with VMWare |
| | Amazon Elastic Compute Cloud (EC2) for cloud server virtualization. | Deployment model not supported in predicate device. |
| Imaging and Other Communications Protocols | TCP/IP, DSR, HL7, NFS | TCP/IP, DSR, HL7, NFS, FTP |
| | DICOM support (Classic DICOM) DICOMWeb: QIDO-RS, WADO-RS and STOW-RS | DICOM support (Classic DICOM) |
| Support for launching third-party medical devices | Same as predicate device. | Plug-in support for: ultrasound, cardiovascular X-ray, nuclear medicine, computed tomography, magnetic resonance, and electrophysiology studies. URL launch of 3rd party medical devices |
Document ID: D002023422
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PHILIPS
K251215
| | | (that allow URL launch) |
| --- | --- | --- |
| EMR/HIS Interface | Same as predicate device. | A mechanism to launch from the EMR system directly into IntelliSpace Cardiovascular, and into the EMR. |
| Integration with Philips information management systems | Same as predicate device. | • TSM (Table Side Module)
• Xper IM
• Philips CVIS |
| System entry screen | Same as predicate device. | Browser-based workspace with applets, system extensions and workflow modules. Provides two layers: user-centric, for search and configurable worklist functionality; patient-centric: for detailed cardiovascular history. |
| Archiving | | |
| Automatic Study placement and folder creation | Same as predicate device. | Supported in predicate device. |
| Study management | Same as predicate device. | Supported in predicate device. |
| Study type | Same as predicate device. | Ultrasound, Nuclear medicine, X-ray (cath and invasive vascular), all other modality types related to cardiology. |
| Customized measurements and calculations tool | Same as predicate device. | Supported in predicate device. |
| PDF Import | Same as predicate device. | Import reports that are in PDF format from external sources. |
| Database views | Same as predicate device. | Supported in predicate device. |
| Viewing | | |
| Supported Data and Modalities | Same as predicate device. | • All DICOM formats as stated in the DICOM, including but not limited to: Ultrasound, Cath, CT and MR.
• Philips’ proprietary ultrasound image format (DSR-TIFF). |
| Cath Viewer | Same as predicate device. | Supported in predicate device. |
| Echo Viewer incl. diagnostic quality (thin client) | Same as predicate device. | View ultrasound images with diagnostic quality. |
| Remote Viewing (thin client) | Same as predicate device. | Zero-install (thin) client, browser-based technology (HTML5) to perform review-only of series, runs, loops and images. |
| Quantification and Reporting | | |
| Cath Viewer Measurements | Same as predicate device. | Simple distance measurements (non-persistent) |
| Cath Quantitative Analysis | Same as predicate device. | Analysis on cardiac catheterization images |
| Echo Measurements and Calculations | Same as predicate device. | • 2D
• Doppler
• MMode
• Trending graph of measurements and Z-scores |
Document ID: D002023422
Page 3 of 5
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PHILIPS
K251215
| | | • Z-scores: Michigan data
• Z-scores: extensions of z-scores data (Boston)
• Blood Pressure import from DICOM SR files from vendors (Philips, GE, Siemens, Toshiba) |
| --- | --- | --- |
| | • Z-scores: Pediatric Heart Network (PHN 2017)
• Z-scores: Boston 2017
• Z-scores: Krishnan et al | Not supported on predicate device. |
| Diagnostic Guidance | Same as predicate device. | Consistency check mechanism that will allow clinicians to predefine a set of rules. |
| Remote reporting (tele-cardiology) | Same as predicate device. | View the study from a remote location and perform reporting tasks on the study. This functionality pertains to a physical client, which is registered for use inside or outside the hospital. Note that images are copied to the remote location, but there is no streaming between the device and client for remote locations. |
| Browser-based Clinical Reporting (thin client) | Same as predicate device. | Thin client, browser-based technology (HTML5) to perform diagnostic review and 2D measurements on echo images. Supported on standard PC hardware; not supported on mobile devices. |
| Other | | |
| System access | Same as predicate device. | Define user rights based on institute level. |
| Single access to configuration | Same as predicate device. | Configure Philips IntelliSpace
Cardiovascular in a singular place. |
| Tooling (user-configuration) | In addition to existing predicate device capabilities, additional tooling added for user-configuration capabilities. | User-configuration capabilities. |
Document ID: D002023422
Page 4 of 5
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PHILIPS
K251215
## 4. Performance Data
The following performance data were provided in support of the substantial equivalence determination.
### a. Summary of non-clinical testing
Philips IntelliSpace Cardiovascular was tested in accordance with Philips verification and validation processes. Quality Assurance measures were applied to the system design and development, including:
- Risk analysis
- User & product specifications
- Verification & validations
### b. Summary of clinical testing
The subject device of this premarket submission, Philips IntelliSpace Cardiovascular software 9.1 did not require clinical studies to support equivalence.
## 5. Conclusions drawn from the non-clinical and clinical testing
Verification and Validation activities required to establish performance and functionality of Philips IntelliSpace Cardiovascular were performed. Testing involved system level tests, performance tests, and safety testing from Risk Analysis. Testing performed demonstrated the Philips IntelliSpace Cardiovascular meets all defined functionality requirements.
## 6. Conclusion
Philips IntelliSpace Cardiovascular 9.1 (subject device) is substantially equivalent to the previously cleared Philips IntelliSpace Cardiovascular 2.0 (predicate device [K153022]). The subject device has the same intended use as the predicate device. The technological and clinical characteristics are not the same, however the differences in technological and clinical characteristics between the two devices do not raise different questions of safety and effectiveness.
Document ID: D002023422
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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.
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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.
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.