Syngo Carbon Enterprise Access is indicated for display and rendering of medical data within healthcare institutions.
Device Story
Syngo Carbon Enterprise Access is a web-based software application for enterprise-wide viewing of DICOM, non-DICOM, multimedia data, and clinical documents. Installed on standard IT hardware, it provides standardized interfaces to connect to medical devices without controlling or altering their functions. Used in departmental environments within healthcare institutions by trained medical professionals, the device facilitates image and result distribution. It supports viewing of various image types (CT, MR, PET, XA, US, etc.) and non-image objects (ECG, PDF). The system features a client-server architecture; users access data via HTML5/JavaScript-enabled browsers. The device provides tools for image manipulation (zoom, pan, windowing, flip, scroll) and measurement/annotation (distance, angle, ellipse, polygon). It does not perform automated diagnostic interpretation (CAD). By providing efficient access to medical images and patient history, the device supports clinical review and decision-making, benefiting patients through improved access to diagnostic information.
Clinical Evidence
No clinical studies were conducted. Performance was established through non-clinical verification and validation testing, including software testing, risk analysis, and cybersecurity assessment. Testing confirmed that all software specifications met acceptance criteria.
Technological Characteristics
Software-only medical device; client-server architecture. Connectivity via standard network protocols (TCP/IP, DICOM 2016a, HL7, FHIR R4). Supported by HTML5/JavaScript-enabled browsers (Chrome, Edge, Firefox, Safari). Cybersecurity controls include user access control, audit trails, firewall control, malware protection, and system hardening. Conforms to ISO 14971, IEC 62304, IEC 82304-1, and IEC 62366-1. Moderate level of concern.
Indications for Use
Indicated for display and rendering of medical data within healthcare institutions by trained medical professionals. Not intended for diagnosis of digital mammography images or digital pathology reading. Not intended for diagnostic use on mobile devices in the USA. Not intended as a sole basis for clinical decisions.
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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Image /page/0/Picture/0 description: The image contains two logos. On the left is the Department of Health & Human Services logo, which features a stylized caduceus. To the right is the FDA logo, which includes the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue text.
Siemens Healthcare GmbH Vijay Ramadas Regulatory Affairs Manager Siemensstraße 3 FORCHHEIM, BAYERN 91301 GERMANY
May 23, 2024
Re: K240294
Trade/Device Name: Syngo Carbon Enterprise Access (VA40A) Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: LLZ Dated: April 15, 2024 Received: April 15, 2024
Dear Vijay Ramadas:
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.
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).
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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 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-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 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.
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-device-safety/medical-device-reportingmdr-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/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
Jessica Lamb Assistant Director DHT8B: Division of Radiologic Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
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# Indications for Use
Submission Number (if known)
K240294
Device Name
Syngo Carbon Enterprise Access (VA40A)
Indications for Use (Describe)
Syngo Carbon Enterprise Access is indicated for display and rendering of medical data within healthcare institutions
Type of Use (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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K240294
Image /page/3/Picture/1 description: The image shows the logo for Siemens Healthineers. The word "SIEMENS" is in teal, and the word "Healthineers" is in orange. To the right of the word "Healthineers" is a cluster of orange dots.
January 30, 2024
# Traditional 510(k) Summary
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR §807.92.
#### 1. Submitter:
Siemens Healthcare GmbH Henkestrasse 127 91052 Erlangen Germany
### 2. Establishment Registration Number: 3004977335
#### 3. Contact Person:
Mr. Vijay Ramadas Regulatory Affairs Manager Siemens Healthcare GmbH, Siemensstr. 3 91301 Forchheim Germany
| E-mail: | vijay.ramadas@siemens-healthineers.com |
|------------|----------------------------------------|
| Telephone: | +49 (172) 4324369 |
| Fax: | +49 (9191) 18-4404 |
#### 4. Device Name and Classification
| Device/Trade Name: | Syngo Carbon Enterprise Access (VA40A) |
|------------------------|------------------------------------------------|
| Classification Panel: | Radiology Devices |
| Classification Number: | 21 CFR 892.2050 |
| Classification Name: | Medical Image Management and Processing System |
| Device Class: | Class II |
| Product Code: | LLZ |
#### 5. Predicate Device(s):
| Device/Trade Name: | Syngo Carbon Space |
|------------------------|------------------------------------------------|
| 510(k) Clearance: | K230561 |
| Classification Panel: | Radiology Devices |
| Classification Number: | 21 CFR 892.2050 |
| Classification Name: | Medical Image Management and Processing System |
| Device Class: | Class II |
| Product Code: | LLZ |
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### 6. Device Description:
Syngo Carbon Enterprise Access is a software only medical device which is intended to be installed on recommended common IT Hardware. The hardware is not seen as part of the medical device. Syngo Carbon Enterprise Access is intended to be used in clinical image and result distribution for diagnostic purposes by trained medical professionals and provides standardized generic interfaces to connect to medical devices without controlling or altering their functions.
Syngo Carbon Enterprise Access provides an enterprise-wide web application for viewing DICOM, non-DICOM, multimedia data and clinical documents to facilitate image and result distribution.
### 7. Intended/Indications for use:
Syngo Carbon Enterprise Access is indicated for display and rendering of medical data within healthcare institutions.
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### 8. Summary of Differences between the Subject Device and the Predicate Device:
The differences between the subject device in this premarket notification and the predicate device are summarized in the following comparison table:
The predicate device is available in two variants;
- Syngo Carbon Space Diagnostic Workspace ।
- Syngo Carbon Space Physician Access (web component this is the predicate for the subject device) -
For readability and comparison purpose, the non-relevant items from the predicate of Syngo Carbon Space Diagnostic Workspace) are GREYED OUT and the relevant contents are retained
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| Specification | Subject Device | Predicate Device | Comparison | Impact to Safety &<br>Effectiveness |
|-------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Device name<br>and version | Syngo Carbon Enterprise Access<br>VA40A | Syngo Carbon Space VA30A<br>(K230561) | New version of the<br>product | NA |
| Manufacturer | Siemens Healthcare GmbH | Siemens Healthcare GmbH | Same | NA |
| Indications for<br>use | Syngo Carbon Enterprise Access is<br>indicated for display and rendering of<br>medical data within healthcare<br>institutions. | Syngo Carbon Space is a software<br>intended to display medical data and to<br>support the review and analysis of<br>medical images by trained medical<br>professionals.<br><br>Syngo Carbon Space "Diagnostic<br>Workspace" is indicated for display,<br>rendering, post-processing of medical<br>data (mostly medical images) within<br>healthcare institutions, for example, in<br>the field of Radiology, Nuclear<br>Medicine and Cardiology.<br><br>Syngo Carbon Space "Physician<br>Access" is indicated for display and<br>rendering of medical data within<br>healthcare institutions. | Same | NA |
| Specification | Subject Device | Predicate Device | Comparison | Impact to Safety & Effectiveness |
| Contraindications | Syngo Carbon Enterprise Access is not intended for the diagnosis of digital mammography images and digital pathology reading.<br><br>Syngo Carbon Enterprise Access is not intended to be used for diagnostic purpose on mobile devices in the United States of America (USA).<br><br>Syngo Carbon Enterprise Access is not intended to be used as a sole basis for clinical decisions. | Syngo Carbon Space "Diagnostic Workspace" is not intended for diagnosis of digital mammography images.<br><br>Syngo Carbon Space "Diagnostic Workspace" is not intended to be used as a sole basis for clinical decisions.<br><br>Syngo Carbon Space "Physician Access" is not intended for diagnosis of digital mammography images.<br><br>Syngo Carbon Space "Physician Access" is not intended to be used for diagnostic purpose on mobile devices in the United States of America (USA).<br><br>Syngo Carbon Space "Physician Access" is not intended to be used as a sole basis for clinical decisions. | Same | NA |
| Software architecture | Syngo Carbon Enterprise Access is based on a client-server architecture | Syngo Carbon Space is based on a client-server architecture | Same | NA |
| Image communication | Standard network protocols like TCP/IP and standard communication protocol including DICOM (2016a) and non-DICOM objects. | Standard network protocols like TCP/IP and standard communication protocol including DICOM (2016a) and non-DICOM objects. Supports interfacing with HL7 (v2.5 / v2.3.1 / v2.3 / FHIR R4) | Same | NA |
| Specification | Subject Device | Predicate Device | Comparison | Impact to Safety &<br>Effectiveness |
| Image display<br>algorithms | MPR: MPR MIP: MIP, MinIP View AVG MED Invert Image | MPR: MPR, MPR Thick,<br>MPR/MPR* MIP: MIP, MIP Thin MinIP View VRT*: Plain VRT, Adapt VRT,<br>VRT Thin, Cinematic VRT Fused View * Invert Image * available in in Diagnostic<br>Workspace only | The additional AVG<br>and MED are non<br>AI/ML Algorithms | This differences<br>between the<br>predicate device and<br>the subject device<br>doesn't impact the<br>safety and<br>effectiveness of the<br>subject device as the<br>necessary measures<br>taken |
| Specification | Subject Device | Predicate Device | Comparison | Impact to Safety &<br>Effectiveness |
| Measurement,<br>Evaluation/Inte<br>rpretation<br>Tools | • Distance (Distance line)<br>• Pixel Lens<br>• Angle<br>• Ellipse Annotation<br>• Polygon<br>• Freehand<br>• Capture | • Distance (Distance line, Distance<br>Polyline)<br>• Angle and Angle on stack*<br>• 2D ROI (Circle, Freehand,<br>Polygonal, Auto Contour) *<br>• 3D VOI (Sphere, Freehand) *<br>• Pixel Lens<br>• Ranges (Parallel, Radial, Radial<br>Sliced, Curved, Spine) *<br>• Lesion Quantification*<br>• Assisted Perpendicular Tool*<br>• Automatic Organ Segmentation*<br>• Interactive Tissue Segmentation*<br>• Time Curve, Time ROI*<br>• SUV Measurement*<br>• Automatic Anatomy Labeling<br>(rib, spine) *<br>• Next Study/Previous<br>Study/Nearline study*<br>• Change Geometry*<br>• Snapshot<br>• CT Lung Change*<br>• MR General Reading*<br>• Alpha Blending*<br>* Available in in Diagnostic<br>Workspace only | The tool set in the<br>subject device is<br>enhanced. | This differences<br>between the<br>predicate device and<br>the subject device<br>doesn't impact the<br>safety and<br>effectiveness of the<br>subject device as the<br>necessary measures<br>taken |
| Supported<br>objects<br>for display | DICOM image object display: | DICOM image object display: | Same | NA |
| | • CR Image | • CR Image | Same | NA |
| | • CT Image | • CT Image | | |
| | • DX Image | • DX Image | | |
| | • ES Image | • ES Image | | |
| | • GM Image | • GM Image | | |
| | • MG Image | • MG Image | | |
| | • MR Image | • MR Image | | |
| | • NM Image | • NM Image | | |
| | • PET Image | • PET Image | | |
| | • OP/OPT Image | • OP/OPT Image | | |
| | • RF Image | • RF Image | | |
| | • RT IMAGE | • RT IMAGE | | |
| | • SM (WSI) | • SM (WSI) | | |
| | • XA Image | • XA Image | | |
| | • US Image | • US Image | | |
| | • Secondary capture objects | • Secondary capture objects | | |
| | DICOM non-image object display: | DICOM non-image object display: | | |
| | • ECG | • ECG | | |
| | • Encapsulated PDF | • Encapsulated PDF | | |
| | • PR | • PR | | |
| | Non-DICOM file display: | Non-DICOM file display: | | |
| | • Images: BMP, GIF, JPEG<br>(JFIF), JPEG 2000, JPEG-LE,<br>JPEG-LS, PCX, PNG, PNM,<br>TIFF, WBMP | • Images: BMP, GIF, JPEG<br>(JFIF), JPEG 2000, JPEG-LE,<br>JPEG-LS, PCX, PNG, PNM,<br>TIFF, WBMP | | |
| | • Video: FLV, H.264, H.265,<br>INDEO2, INDEO3, INDEO4,<br>MPEG1, MPEG2, MPEG4. | • Video: FLV, H.264, H.265,<br>INDEO2, INDEO3, INDEO4,<br>MPEG1, MPEG2, MPEG4. | | |
| Specification | Subject Device | Predicate Device | Comparison | Impact to Safety &<br>Effectiveness |
| | VP8, VP9, WMV1, WMV2,<br>WMV3<br>Text Documents: CDA (XML), PDF | VP8, VP9, WMV1, WMV2,<br>WMV3<br>• Text Documents: CDA (XML), PDF | | |
| Operating<br>system | Server | Diagnostic Workspace | The operating system | This Operating<br>System and browser |
| | Server Red Hat Enterprise Linux 9.x Client All operating systems that with<br>support for the following HTML5-<br>and JavaScript enabled browsers: Google Chrome ≥ 90 Microsoft Edge ≥ 90 Mozilla Firefox ≥ 91 Mozilla Firefox ESR ≥ 91 Apple Safari ≥ 15 Mobile device iPadOS ≥ 16 Apple Safari web browser >= 15 | Server Microsoft Windows Server 2019 Windows 10 Enterprise Red Hat Enterprise Linux 8.4 Client Microsoft Windows 10<br>(Pro, Pro-Education, Enterprise) Microsoft Windows 11<br>(Pro, Pro-Education,<br>Enterprise) Physician Access Server Red Hat Enterprise Linux 8.4 Client All operating systems that with<br>support for the following HTML5-<br>and JavaScript enabled browsers: Google Chrome ≥ 90<br>(tested and recommended<br>Chrome 100) Microsoft Edge ≥ 90<br>(tested and recommended:<br>Edge 100) Mozilla Firefox ≥ 91 Mozilla Firefox ESR ≥ 91 Apple Safari ≥ 14 | for Linux, iOS and<br>Safari browser version<br>is updated | version difference<br>between the<br>predicate device and<br>the subject device<br>doesn't impact the<br>safety and<br>effectiveness of the<br>subject device as<br>necessary measures<br>have been taken |
| Specification | Subject Device | Predicate Device | Comparison | Impact to Safety & Effectiveness |
| Impact on Image Acquisition Devices | None<br>Syngo Carbon Enterprise Access is a pure viewing software and it has no influence on the image acquisition devices. | Client – Mobile device<br>iPadOS ≥ 14, Safari web browser<br>None<br>Syngo Carbon Space is a pure viewing and/or post-processing software and it has no influence on the image acquisition devices. | Same | NA |
| CAD Functionalities | None<br>No automated diagnostic interpretation capabilities like CAD are included. All image data are to be interpreted by trained personnel. | None<br>No automated diagnostic interpretation capabilities like CAD are included. All image data are to be interpreted by trained personnel. | Same | NA |
| Clinical condition the device is intended to diagnose, treat, or manage | No limitation on the clinical condition of the patient. | No limitation on the clinical condition of the patient. | Same | NA |
| Intended patient population | No limitation concerning the patient population (e.g., age, weight, health, condition) | No limitation concerning the patient population (e.g., age, weight, health, condition) | Same | NA |
| Site of the body the device is intended to be used | No limitation concerning region of body or tissue type | No limitation concerning region of body or tissue type | Same | NA |
| Specification | Subject Device | Predicate Device | Comparison | Impact to Safety &<br>Effectiveness |
| Intended use<br>environment | Syngo Carbon Enterprise Access is<br>used in departmental environments<br>within healthcare institutions.<br>For reading images certified monitors<br>are required (e.g., medical diagnostic<br>displays). | Syngo Carbon Space "Diagnostic<br>Workspace" is used in Radiology,<br>Nuclear Medicine and Cardiology<br>environments (e.g., darkened/ shaded<br>rooms).<br>Syngo Carbon Space "Physician<br>Access" is used in departmental<br>environments within healthcare<br>institutions.<br>For reading images certified monitors<br>are required (e.g., medical diagnostic<br>displays).…
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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.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.