K222586 · Ge Medical Systems Information Technologies, Inc. · MHX · Dec 21, 2022 · Cardiovascular
Device Facts
Record ID
K222586
Device Name
Mural Clinical Viewer
Applicant
Ge Medical Systems Information Technologies, Inc.
Product Code
MHX · Cardiovascular
Decision Date
Dec 21, 2022
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.1025
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
Mural Clinical Viewer is a patient monitoring software application intended for the electronic collection, display, trending, annotation, measurement and export of clinical data. Data is acquired from medical devices. Electronic Health Records (EHRs) and other data sources on a hospital's network. The application is designed to accept a patient selection from a host Electronic Health Record (EHR) program and then display that patient's data and waveforms within the EHR. The device is intended to be used by healthcare professionals in general hospital (including ICU) or remote clinical support settings while operating within a single patient's EHR. This product does not control or alter any of the medical devices providing data across the hospital network. All information, alerts or visual indications provided are intended to support the judgement of medical professionals. The product is not a bedside patient monitor and can only receive processed signal data from a hospital network.
Device Story
Mural Clinical Viewer is a software-only information management system; integrates with hospital EHR and Medical Gateway Interface (MGI). Inputs include patient vitals, waveforms, and alarm/event data from hospital monitoring systems. Operates via cloud-native, client-server architecture; accessed through web browser embedded in host EHR. Provides near real-time and retrospective display, trending, annotation, and measurement of clinical data. Includes electronic caliper tool for horizontal ECG waveform measurements. Clinicians use the viewer to document patient data directly into the EHR without switching applications. Does not control or alter connected medical devices; serves as a secondary display to support clinical judgment. Benefits include streamlined documentation and centralized patient monitoring data access for healthcare professionals.
Clinical Evidence
No clinical data. Substantial equivalence supported by bench testing, including risk analysis, design reviews, software verification/validation, and usability testing. Compliance with IEC 62304 (software lifecycle), IEC 60601-1-8 (alarms), and IEC 60601-2-25 (ECG safety/performance) confirmed.
Technological Characteristics
Software-only; cloud-native, client-server architecture. Servers: Linux distribution with container orchestration. Clients: WebKit-based browser (HTML5/JavaScript). Connectivity: WAN/LAN hospital network. Standards: IEC 62304, IEC 60601-1-8, IEC 60601-2-25. Cybersecurity and interoperability evaluated per FDA guidance.
Indications for Use
Indicated for hospital-based patients of any age connected to a hospital monitor, network, and host EHR application. Intended for use by licensed healthcare providers (nurses, physicians, tele-technicians) in general hospital (including ICU) or remote clinical support settings. Not for home monitoring use.
Regulatory Classification
Identification
The arrhythmia detector and alarm device monitors an electrocardiogram and is designed to produce a visible or audible signal or alarm when atrial or ventricular arrhythmia, such as premature contraction or ventricular fibrillation, occurs.
Special Controls
*Classification.* Class II (special controls). The guidance document entitled “Class II Special Controls Guidance Document: Arrhythmia Detector and Alarm” will serve as the special control. See § 870.1 for the availability of this guidance document.
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, with the letters "FDA" in a blue square. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
December 21, 2022
GE Medical Systems Information Technologies, Inc. Brandon O'shea Sr. Regulatory Affairs Manager 9900 Innovation Drive Wauwatosa, Wisconsin 53226
### Re: K222586
Trade/Device Name: Mural Clinical Viewer Regulation Number: 21 CFR 870.1025 Regulation Name: Arrhythmia Detector And Alarm (Including ST-Segment Measurement And Alarm) Regulatory Class: Class II Product Code: MHX Dated: November 22, 2022 Received: November 22, 2022
Dear Brandon O'Shea:
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.
{1}------------------------------------------------
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 devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatoryinformation/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 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,
Shruti N. Mistry -S
for
Jennifer Shih Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K222586
Device Name Mural Clinical Viewer
#### Indications for Use (Describe)
Mural Clinical Viewer is a patient monitoring software application intended for the electronic collection, display, trending, annotation, measurement and export of clinical data. Data is acquired from medical devices. Electronic Health Records (EHRs) and other data sources on a hospital's network. The application is designed to accept a patient selection from a host Electronic Health Record (EHR) program and then display that patient's data and waveforms within the EHR. The device is intended to be used by healthcare professionals in general hospital (including ICU) or remote clinical support settings while operating within a single patient's EHR.
This product does not control or alter any of the medical devices providing data across the hospital network. All information, alerts or visual indications provided are intended to support the judgement of medical professionals. The product is not a bedside patient monitor and can only receive processed signal data from a hospital network.
| 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) |
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
Image /page/3/Picture/1 description: The image shows the logo for General Electric (GE). The logo is a blue circle with the letters "GE" in a stylized font in the center. There are decorative swirls around the outside of the circle. The logo is simple and recognizable.
# 510(k) Summary
| In accordance with 21 CFR 807.92 the following summary of information is provided: | | |
|------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|--|
| | | |
| 807.92(a)(1) – Submitter Information | | |
| Date | 26 August 2022 | |
| Submitter | GE Medical Systems Information Technologies, Inc.<br>9900 Innovation Drive<br>Wauwatosa, WI 53226, USA | |
| Primary Contact Person | Brandon O'Shea<br>Sr. Regulatory Affairs Manager<br>GE Medical Systems Information Technologies, Inc.<br>Email: brandon.oshea@ge.com<br>Ph: (414) 323-3147 | |
| Secondary Contact Person | Michael Petrini<br>Regulatory Affairs Executive<br>GE Medical Systems Information Technologies, Inc.<br>Ph: (360) 294-9283 | |
| 807.92(a)(2) – Device Information | | |
| Device Trade Name | Mural Clinical Viewer | |
| Common/Usual Name | Monitor, Physiological, Patient (with arrhythmia detection or alarms) | |
| Regulation Name | Arrhythmia detector and alarm (including ST-segment measurement and alarm) | |
| Regulation Number | 21 CFR 870.1025 | |
| Regulation Class | Class II | |
| Product Code | MHX | |
| Review Panel | Cardiovascular | |
| 807.92(a)(3) – Predicate Device | | |
| 510(k) Number | K141811 | |
| Manufacturer | Mortara Instruments, Inc. | |
| Predicate Device(s) | Mortara Monitoring Waveform Viewer | |
| The predicate device has not been subject to a design-related recall | | |
| 807.92(a)(4) – Device Description | | |
## Device Design
Mural Clinical Viewer is a software only, information management system designed to enable viewing of patient's monitoring data. The system is accessible from the Electronic Health Record (EHR) application. Its use covers near real time and retrospective display of patient vitals, waveforms and events. The system also covers documentation of patient vitals including discrete values and waveform strips.
The software is integrated with a healthcare facility's Electronic Health Records (EHR) and Medical Gateway Interface (MGI) for electronic collection, display, trending, annotation, measurement and export of clinical data. The software accessed as an integral part of the host EHR application, provides a single place to view patient monitoring data and to record documentation in EHR system without having to switch between multiple different applications and devices.
{4}------------------------------------------------
Image /page/4/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' intertwined within a blue circle. The circle has a stylized design with wave-like elements around the perimeter, giving it a dynamic and recognizable appearance.
## Environment of Use
Mural Clinical Viewer is intended to be used in a healthcare facility environment within a host EHR application.
# Principle of Operation and Deployment
Mural Clinical Viewer software is a cloud-based application with client-server architecture, accessed on web browser embedded within a host EHR system. Mural Clinical Viewer application is accessed via the EHR application within a hospital network. EHR application manages user authentication with credential-based log-in within a hospital supplied network. The application provides a means for viewing and documenting patient monitoring data including vitals, waveforms and alarms/events as supplied by a Medical Gateway Interface (MGI), supporting clinicians in investigation and patient documentation management.
The software comes with features to view, annotate, measure, save and retrieve clinical data to support patient documentation and record keeping.
This product does not control or alter any of the medical devices providing data across the hospital network. All information, alerts or visual indications provided are intended to support the judgement of medical professionals. The product is not a bedside patient monitor and can only receive processed signal data from a hospital network.
## 807.92(a)(5) - Indications for Use
Mural Clinical Viewer is a patient monitoring software application intended for the electronic collection, display, trending, annotation, measurement and export of clinical data. Data is acquired from medical devices, Electronic Health Records (EHRs) and other data sources on a hospital's network. The application is designed to accept a patient selection from a host Electronic Health Record (EHR) program and then display that particular patient's data and waveforms within the EHR. The device is intended to be used by healthcare professionals in general hospital (including ICU) or remote clinical support settings while operating within a single patient's EHR.
This product does not control or alter any of the medical devices providing data across the hospital network. All information, alerts or visual indications provided are intended to support the iudgement of medical professionals. The product is not a bedside patient monitor and can only receive processed signal data from a hospital network.
807.92(a)(6) - Comparison of Intended Use and Technological Characteristics The table below compares the intended use and technological characteristics of the subject and predicate device.
| Specification | Predicate Device<br>Mortara Monitoring Waveform Viewer<br>K141811 | Subject Device<br>Mural Clinical Viewer<br>K[TBD] |
|--------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Patient Population | Hospital Based Patients of any age<br>connected to a hospital monitor, network<br>and host application | Hospital Based Patients of any age<br>connected to a hospital monitor, network<br>and host application |
| Environment of Use | Hospital Environment and securely<br>networked clinics or offices | Hospital Environment and securely<br>networked clinics or offices |
| | This product is not for home monitoring use | This product is not for home monitoring use |
| Intended User | Licensed Healthcare Providers | Licensed Healthcare Providers (nurses, physicians, tele-technicians) |
| Software Level of Concern | Unknown (assumed to be Major) | Major |
| User Interface | Standard PC/Laptop<br>Client application embedded in a host application | Standard PC/Laptop<br>Web client application embedded in a host application<br>NOTE: This application is not intended for use on tablets or mobile phones |
| SW and HW Components | Software only product; utilizing off-the-shelf IT devices. | Software only product; utilizing off-the-shelf IT devices. |
| Software Capabilities -<br>Patient Data and Information | Clinical Data Display (Detailed Bedside View + Vital Signs) + Alerts/Alarms | Clinical Data Display (Detailed Bedside View + Vital Signs) + Alerts/Alarms |
| Software Capabilities -<br>Caliper Tool | The application can perform measurements with the support of a caliper tool (providing horizontal/time measurements and vertical/signal amplitude measurements). The caliper tool can be activated when the Monitoring Waveform Viewer displays still waveforms | The application allows user to perform caliper measurements (horizontal measurements only) using the electronic Caliper tool on ECG waveforms to assess the patient's cardiac rhythm. The Caliper tool can be activated from the Create Strip report panel window when user documents a selected strip |
| Software Capabilities - Annotations | (Unknown) Not available from the 510K Summary Document | The application allows the clinician to capture and save their annotation for a selected strip on the Full disclosure.<br>These saved strips on the worklist can be viewed on the Mural Clinical Viewer and in the EHR as a PDF file. |
| Software Capabilities - Alarms | Capable of receiving data from external systems for the display of alarm states.<br>Not capable of generating unique alarms or influencing external systems. | Capable of receiving data from external systems for the display of alarm states.<br>Not capable of generating unique alarms or influencing external systems. |
| Connectivity | Acquire physiological data provided by the connected application provider | Acquire physiological data from MDI/MGI provided by EHR application provider |
| | WAN/LAN hospital connectivity | WAN/LAN hospital connectivity |
| Operating System(s) | Operating System:<br>• Windows 10 (64-bit) | Operating System:<br>• Servers – Linux distribution with container orchestration<br>• Clients – WebKit based browser with support for HTML5 & JavaScript<br>The Mural Clinical Viewer system is designed as a cloud-native application utilizing virtualization technology on a Linux operating system with containerized services. The application runs on premises (on prem) within a hospital network. |
| Data Sources /<br>Connectivity / Outputs | Data Sources (inputs)<br>Patient monitoring systems | Data Sources (inputs)<br>MDI/MGI interface provided by EHR application provider |
| Connectivity & Output | Connectivity & Output | |
| Send data to host EHR application for<br>documentation purposes with no ability to<br>influence the original monitoring system | Send data to the host application for<br>documentation purposes with no ability to<br>influence the original monitoring system | |
{5}------------------------------------------------
Image /page/5/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters "GE" intertwined within a blue circle. The letters are stylized and connected, giving the logo a distinctive and recognizable appearance.
{6}------------------------------------------------
Image /page/6/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters "GE" in a stylized script, enclosed within a circular frame. The color of the logo is a light blue. The logo is simple and recognizable.
Mural Clinical Viewer and the Mortara Monitoring Waveform Viewer (K141811) are softwareonly clinical information systems for monitoring analysis and documentation of patient waveforms within a hospital environment or clinical support setting.
The Mural Clinical Viewer software employs the same fundamental scientific technology as its predicate device. Both Mural Clinical Viewer and the Mortara Monitoring Waveform Viewer both operate off a client server architecture installed on off-the-shelf client servers utilizing standard communication languages. The Mural Clinical Viewer and Mortara Monitoring Waveform Viewer both include waveform review, caliper and transmitted alarm display functionality. The subject device has different technological features including different user interfaces and operating systems. However, the different technological characteristics do not raise different questions of safety and effectiveness.
| 807.92(b)(1) - Performance Testing | |
|------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Summary of Non-Clinical Tests | Software was evaluated as recommended in the 2005 FDA guidance document “Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices.” The Mural Clinical Viewer software was developed following the GE Healthcare Quality Management System. The following activities were successfully completed: Risk Analysis / Management Requirements Reviews Design Reviews Software Verification Software Validation Usability Testing |
| | Mural Clinical Viewer has also been subject to the following non-clinical V&V activities: Safety classification and Performance testing in accordance with IEC 62304 Edition 1.1 2015 Testing in accordance with IEC 60601-1-8 Edition 2.2 2020-07 for alarm functionality Testing in accordance with IEC 60601-2-25 Edition 2.0 for basic safety and essential performance of electrocardiographs |
| | Successful completion of design verification and validation testing was performed to confirm that software and user requirements have been met. |
{7}------------------------------------------------
Image /page/7/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' in a stylized script, enclosed within a blue circle. Three swirling shapes surround the letters, adding a dynamic element to the design.
| Cybersecurity was evaluated as recommended in the 2014 FDA<br>guidance document “Content of Premarket Submissions for<br>Management of Cybersecurity in Medical Devices.” | |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Interoperability was evaluated as recommended in the 2017 FDA<br>guidance document “Design Considerations and Pre-market<br>Submission Recommendations for Interoperable Medical<br>Devices.” | |
| 807.92(b)(2) – Summary of Clinical Tests | |
| Summary of Clinical Tests | The similarities and differences between the subject device and<br>the predicate device, were determined not to have a significant<br>impact on the device's performance, the clinical performance, and<br>the actual use scenarios.<br><br>Therefore, the subject of this premarket submission, Mural<br>Clinical Viewer, did not require clinical studies to support<br>substantial equivalence. |
| 807.92(b)(3) - Conclusion | |
| The performance data described above demonstrate that the Mural Clinical Viewer is as safe and<br>effective as the Mortara Monitoring Waveform Viewer and supports a determination of | |
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
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.