The Personal Kinetigraph (PKG) is intended to quantify kinematics of movement disorder symptoms in conditions such as Parkinson's disease, including tremor, bradykinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is individuals 46 to 83 years of age.
Device Story
Wrist-worn activity monitor (PKG Watch) records patient movement data over 6-10 days; data uploaded via Android tablet to cloud-based server. Server processes data to quantify tremor, bradykinesia, dyskinesia, and immobility; generates PDF report for clinician. Clinician uses report to assess symptom severity/variability and adjust medication. Device includes medication reminders and patient-operated event markers. Used in clinic and home settings; operated by patients and clinicians. Benefits include objective symptom tracking and improved medication management.
Clinical Evidence
No clinical trials performed. Evidence consists of bench verification, electrical safety/EMC testing, biocompatibility testing (ISO 10993), and side-by-side comparative performance validation against the predicate device. Comparative testing involved subjects wearing both devices simultaneously to confirm identical functional performance and report generation.
Technological Characteristics
Wrist-worn activity monitor; microprocessor-based; battery-powered. Materials: biocompatible (ISO 10993-5, 10993-10). Connectivity: USB/cable to Android tablet, cloud-based server via internet. Standards: IEC 60601-1 (safety), IEC 60601-1-11 (home healthcare), IEC 60601-1-2 (EMC), IEC 62133 (batteries). Software: moderate level of concern.
Indications for Use
Indicated for individuals 46 to 83 years of age with movement disorders, including Parkinson's disease, to quantify kinematics of symptoms such as tremor, bradykinesia, and dyskinesia; includes medication reminders, event markers, and sleep activity monitoring.
Regulatory Classification
Identification
A tremor transducer is a device used to measure the degree of tremor caused by certain diseases.
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Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo features a stylized image of an eagle with three human profiles incorporated into its design. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular pattern around the eagle.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 20, 2016
Gkc Manufacturing Pty Ltd. % Marie Schroeder Advisory Services Quintiles 1801 Rockville Pike Suite 300 Rockville, Maryland 20852
Re: K161717
Trade/Device Name: Personal Kinetigraph (PKG) System Model GKC-2000 Regulation Number: 21 CFR 882.1950 Regulation Name: Tremor Transducer Regulatory Class: Class II Product Code: GYD, NXQ, ISD Dated: June 6, 2016 Received: June 22, 2016
Dear Marie Schroeder:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration. listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical devicerelated adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in
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the quality systems (OS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely,
William J. Heetderks -A
for Carlos L. Peña, PhD, MS Director Division of Neurological and Physical Medicine Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K161717
Device Name
Personal Kinetigraph (PKG) System - Model: GKC-2000
#### Indications for Use (Describe)
The Personal Kinetigraph (PKG) is intended to quantify kinematics of movement disorder symptoms in conditions such as Parkinson's disease, including tremor, bradykinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is individuals 46 to 83 years of age.
| Type of Use (Select one or both, as applicable) | |
|------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
| <div> <span> <span style="font-size:16px">✖</span> Prescription Use (Part 21 CFR 801 Subpart D) </span> </div> | <div> <span> <span style="font-size:16px">❏</span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
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# 510(k) Summary
#### 5.1 SUBMITTER
GKC Manufacturing Pty Ltd Level 15, 440 Collins Street Melbourne, Victoria, 3000, Australia
Contact Person: Brendan Fafiani Phone: +61 459 999 582 Email: brendan.fafiani@globalkineticscorp.com
Date Prepared: May 24, 2016
### 5.2 DEVICE
Trade Name: Personal Kinetigraph (PKG) System - Model GKC-2000 (Gen 2)
Common or Usual Name: Movement Disorder Monitoring System.
Classification Name: Transducer, Tremor (21 CFR 882.1950)
Regulatory Class: II
Primary Product Code: GYD, ISD, NXQ
### 5.3 PREDICATE DEVICE
K140086 - Global Kinetics Corporation's Personal Kinetigraph (PKG) System, the previous version of the same system that is the subject of this 510(k).
The predicate has not been subject to a design-related recall.
No reference devices were used in this submission.
### 5.4 DEVICE DESCRIPTION
The new Personal Kinetigraph (PKG) System, Model GKC-2000 (Gen 2), utilizes a small, wrist-worn data logging activity monitor (the PKG Watch) that continuously records and quantifies the kinematics of movement disorder
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symptoms over a 6 to 10 day period in movement disorder conditions such as Parkinson's disease.
At the end of the recording period, the movement recording data is uploaded via a Tablet application at the supervising clinic, to a cloud-based server.
A report is produced using the recorded data that objectively distinguishes the movement patterns consistent with tremor, bradykinesia, dyskinesia and immobility. This information can be used by the clinician to assess the extent and severity of movement disorder symptoms, and how they vary throughout the day, and from day to day.
The PKG Watch has a medication reminder to the patient that it is time to take their medication, and an event marker for the patient to record when thev have taken their prescribed medication. (See Figure 1 for system overview diagram.)
The Personal Kinetigraph (PKG) System, Model GKC-2000 (Gen 2), is an updated version of the predicate device, the Personal Kinetigraph System (PKG), which was cleared under K140086. While this new PKG System. Gen 2, has some design updates, the Indications for Use are identical to those of the predicate system (K140086).
The Personal Kinetigraph (PKG) System, Gen 2, consists of:
- The PKG Watch (movement data logger)
- The PKG Tablet
- The PKG Clinic Server
- The PKG PDF report, and
- The PKG Accessories. .
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Image /page/5/Figure/2 description: The image shows a diagram of the PKG watch system. The diagram shows the steps involved in using the PKG watch, from configuring the watch to emailing the PKG to the patient's clinician. The steps are numbered from 1 to 6. The PKG watch is configured using the tablet, then the PKG watch is worn by the patient for at least six days. The data collected is uploaded from the PKG watch to the tablet, then the data is sent via the internet to GKC. The PKG is generated by GKC, then the PKG is emailed to the patient's clinician and sent back to the tablet.
Figure 1 - PKG Gen 2 System components and operation overview
The PKG Watch is a battery powered, microprocessor device containing hardware and software that records the movements of a patient with movement disorders such as Parkinson's disease. It is a compact wrist worn monitor that records the patient's movements throughout the day over multiple days. These movement records are then sent via the Internet to the Global Kinetics Corporation (GKC) cloud-based server where they are analyzed to distinguish the movement patterns of the patient throughout the day and to indicate compliance with their medications.
The PKG Tablet is an off-the-shelf Android based tablet that runs a custom software application to configure the PKG Watch before a recording session, extract recorded data after a recording session, and upload this data to the PKG Clinic Server.
The PKG Clinic Server is a cloud-based service, which receives the movement data files from the PKG Tablet, and then processes the files using the PKG Analysis Software. This results in a number of graphs that summarize the content of the recorded data, for use by the clinician. These graphs and some ancillary data are presented in the PKG PDF Report. The PKG Clinic Server sends the PKG PDF Report automatically back to the clinic by email, as well as a copy back to the originating PKG Tablet in the clinic.
The PKG PDF report includes graphs showing the Bradykinesia Score (BKS), representative of bradykinesia, and Dyskinesia Score (DKS), representative of
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dyskinesia, throughout the day on a time-of-day basis. Summary statistics are included to indicate the percentage of time spent at various levels of severity of BKS and DKS. The levels of severity are based on levels that exceed the specified percentile of recordings from normal control subjects. The clinician can use data in the PKG PDF report, together with other information, to adjust the patient's medications so that they spend more time in a normal movement state.
### The PKG Accessories include:
- . The 5-Bay charger - for charging the PKG Watch units, up to 5 at a time. Includes a mains USB adaptor and USB cable.
- . The PKG Dock Cable - for connecting the PKG Watch to the PKG Tablet for configuration before a recording session, and for uploading the movement data to the PKG Clinic Server after the recording session.
### 5.5 INDICATIONS FOR USE
The Personal Kinetigraph (PKG) is intended to quantify kinematics of movement disorder symptoms in conditions such as Parkinson's disease, including tremor, bradykinesia and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is indicated for use in individuals 46 to 83 years of age.
Note: The Indications for Use statement for the PKG Model GKC-2000 (Gen 2) is identical to the predicate, which is the previous version of the same system.
### 5.6 COMPARISON OF TECHNOLOGICAL CHARACTERISTICS WITH THE PREDICATE DEVICE
The key operating principle of the system (as with the predicate) continues to be movement recording of the patient over a 6-10 day period and processing of the resulting recording in order to provide the PKG PDF report to the clinician.
The substantive changes to the PKG System that are being reported in this application relate to the design update of the PKG Logger in the predicate into the PKG Watch, and the related software changes in the Tablet Software in order to support the new PKG Watch data format. There are other changes relating to the size and type of charger supplied, but these are functionally equivalent to the predicate system - all other system performance parameters remain unchanged. All changes are limited to those necessary to implement the updated PKG Watch. The Indications for Use are identical to those cleared for the predicate PKG System.
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At a high level, the new system and the predicate are based on the following same technological elements:
- PKG Tablet and Tablet Software workflow. ●
- PKG Clinic Server.
- PKG PDF reports. ●
- PKG Watch:
- o Data recording functions are unchanged.
- Colored LED indicators (Orange / Green) are the same and retain o the same meaning.
- Vibrating medication alert remains unchanged uses the same O meanings and alert patterns.
- Charged using a new charger, but the underlying technology is the o same.
- Configured using a different connecting cable to the PKG Tablet, o but the underlying technology is the same.
The following technological differences exist between the new and predicate systems:
- . PKG Tablet software - one minor change to support revised data transfer format for the new PKG Watch. (Unchanged otherwise)
- PKG Watch:
- Now has a touch screen display, with clock display o
- Adds a Battery recharge indicator O
- Revised Strap and Enclosure design now waterproof O
- Supplementary indicator symbol on display for medication O reminder ('Pill'icon.)
- Supplementary indicator symbol on display for medication o acknowledgement ("Tick" icon.)
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## 5.7 PERFORMANCE DATA
The following performance data have been provided in support of the substantial equivalence determination.
#### 5.7.1 Biocompatibility Testing
The biocompatibility evaluation for the PKG Gen 2 System was conducted in accordance with the following FDA Guidance documents:
- FDA Blue Book Memorandum #G95-1 "Use of International Standard ISO-10993, 'Biological Evaluation of Medical Devices Part 1: Evaluation and Testing, " May 1, 1995.
- FDA Draft Guidance: Use of International Standard ISO 10993-1 "Biological Evaluation of Medical Devices - Part 1: Evaluation and Testing" Within a Risk Management Process," April 23, 2013.
The battery of testing included the following tests:
- ISO10993-5 Cytotoxicity .
- ISO10993-10 Dermal Irritation ●
- ISO10993-10 Sensitization ●
The testing was performed by CPTC, an FDA recognized GLP testing facility - with all protocols and reports conforming to GLP.
The key component tested was the PKG Watch, which is a wrist worn, surface device that contacts intact skin and has a contact duration of >24 hours and ≤ 30 days.
The samples supplied to CPTC labs for biocompatibility testing were all in their final finished form: production-molded parts, using the final manufacturing process parameters, and that had been colored according to their design specifications.
All results demonstrated that there were no adverse or unexplained events and that there were no indications for cytotoxicity, irritation and sensitization. As such these materials pose a low risk for the purpose of surface application on intact skin for the specified contact duration of less than 30 days. In this context, the materials can be considered to have met the biocompatibility requirements for safety for use in the PKG2 System.
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#### 5.7.2 Electrical Safety and electromagnetic compatibility (EMC)
An electrical safety and EMC evaluation was performed for the PKG Gen 2 System, which included Electrical and EMC testing on the system components including the PKG Watch, the 5-Bay Charger and the PKG Dock Cable. The system complies with the following standards:
IEC 60601-1:2005 Medical electrical equipment - Part 1: General requirements for basic safety and essential performance. (Edition 3)
IEC 60601-1-11:2010 Medical electrical equipment - Part 1-11: General requirements for basic safety and essential performance - Collateral standard: Requirements for medical electrical equipment and medical electrical systems used in the home healthcare environment. (Edition 1)
IEC 60601-1-2:2007 Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility - Requirements and tests. (Edition 3)
IEC 60601-1-2:2014 Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral Standard: Electromagnetic disturbances - Requirements and tests. (Edition 4 - selected tests were performed from this standard.)
IEC 62133:2012 - Secondary cells and batteries containing alkaline or other non-acid electrolytes - Safety requirements for portable sealed secondary cells, and for batteries made from them, for use in portable applications.
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#### 5.7.3 Mechanical Safety Testing
The PKG Watch underwent mechanical safety testing in accordance with the mechanical safety requirements of IEC 60601-1:2005.
Tests were performed for:
- Push Testing ●
- Drop Testing ●
- Mold Stress Relief ●
- Altitude Testing ●
- Thermal Cycle Testing ●
- Shock Testing
- Broad-band Random Vibration Testing ●
- Ingress Protection Testing.
The PKG Watch complied with all tests.
#### Software Verification and Validation Testing 5.7.4
Software verification and validation testing were conducted and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices", May 11, 2005.
The software for the PKG Gen 2 System was considered as a "moderate" level of concern, since a failure or latent flaw in the software could result in a Minor injury to the patient in some situations.
#### 5.7.5 System Validation testing
The specifications and performance of these key sections of the system have not changed significantly for the PKG Gen 2 System update:
- Movement recording ●
- Medication reminders
- Medication acknowledgement ●
- . PKG Analysis and PKG PDF report
These sections of the system are the key areas that may require use of new clinical data to re-validate them in the case that they were modified significantly.
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As none of these have changed significantly, re-validation of the PKG Gen 2 System relied upon both bench verification of the new system, as well as side-by-side validation of the new system with the predicate, when worn by test subjects. Further clinical validation was not considered necessary.
A review of all system verification testing that had been performed was undertaken. This included system verification testing; external safety testing; testing of the system with key use cases on users; and the evaluation of system ergonomics; as well as common fault testing and Clinic Software Validation.
As the final level of validation, system performance testing was undertaken for the PKG Gen 2 System against the predicate system. This exercise included the side-by-side analysis of the PKG Watch for Gen 2 and the PKG Logger for the predicate and subsequent analysis and comparison of the PKG PDF Reports generated. The primary aim of this exercise was to prove performance equivalence between the two systems.
The test was conducted over several days, with each of the test subjects wearing two recording loggers simultaneously on the same arm (PKG Watch and/or the predicate Data logger), performing predetermined actions and maintaining a diary. The PKG PDF Reports that resulted from each device were compared to determine any changes in system performance.
In summary the data and results from this side-by-side comparative testing show that the functional performance of the PKG Gen 2 System is identical to the predicate system (within the specified acceptance criteria of system variability) for all measures, with the exception of accidental 'medication taken' acknowledgements, where the PKG Gen 2 System is improved over that of the predicate.
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## 5.8 CONCLUSIONS
Although the predicate device was cleared based in part on clinical studies, based on our risk analysis, there have not been changes to the new PKG System (Gen 2) that require clinical revalidation. Therefore clinical testing was not required to support substantial equivalence.
The non-clinical data support the safety of the device and the hardware and software verification and validation demonstrate that the PKG System (Gen 2) should perform as intended in the specified use conditions.
The safety and bench test data demonstrate that the PKG System (Gen 2) performs comparably to the predicate that is currently marketed for the same intended use. Therefore the PKG System (Gen 2) is substantially equivalent.
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.