The Okti System is intended for use in the recording, displaying, analysis, printing and storage of human biological parameters such as heart and muscle activity, eye movement, breathing and body movements to assist in the diagnosis of various neurological disorders. The Okti is designed for use in a hospital or other clinical environment. The Okti is only to be used under the direction of a physician.
Device Story
Okti is a physiological data acquisition device for EEG studies; captures electrical signals via electrodes (32, 64, or 128 channels); inputs include EEG, ECG, EMG, and EOG. Device uses 24-bit ADCs and FPGA-based FIR filters to digitize and process signals; data transmitted via Ethernet, Wi-Fi, or stored on internal SD card. Operated by clinicians in hospital/clinical settings; data viewed/analyzed on PC running Compumedics Profusion EEG software. Output assists physicians in diagnosing neurological disorders by providing high-fidelity physiological recordings. Benefits include flexible channel configurations and wireless/networked data transmission for clinical workflow efficiency.
Clinical Evidence
No clinical data provided. Substantial equivalence is supported by bench testing only, including electrical safety (IEC 60601-1), electromagnetic compatibility (IEC 60601-1-2), and electroencephalograph performance testing (IEC 80601-2-26). Testing verified accuracy of signal reproduction, input dynamic range, input noise, frequency response, and common mode rejection ratio against design specifications.
Technological Characteristics
Physiological data acquisition system; 32/64/128 referential/bipolar channels; 24-bit ADCs; FPGA-based FIR filtering; DC-coupled inputs; >100 MΩ input impedance; >100dB CMRR. Power: Li-ion battery or PoE (IEEE 802.3af). Connectivity: Ethernet, Wi-Fi, Bluetooth (oximeter). Class CF patient safety. Dimensions vary by module. Software: Profusion EEG for configuration/acquisition.
Indications for Use
Indicated for use in hospital or clinical environments under physician direction to record, display, analyze, print, and store human biological parameters (heart/muscle activity, eye movement, breathing, body movement) to assist in diagnosing neurological disorders.
Regulatory Classification
Identification
An electroencephalograph is a device used to measure and record the electrical activity of the patient's brain obtained by placing two or more electrodes on the head.
{0}------------------------------------------------
February 9, 2023
Image /page/0/Picture/1 description: The image shows the logos of the Department of Health and Human Services and the Food and Drug Administration (FDA). The Department of Health and Human Services logo is on the left, and the FDA logo is on the right. The FDA logo is a blue square with the letters "FDA" in white. To the right of the square, the words "U.S. FOOD & DRUG ADMINISTRATION" are written in blue.
Compumedics Limited % Dave Yungvirt CEO Third Party Review Group, LLC 25 Independence Blvd Warren, New Jersey 07059
Re: K230073
Trade/Device Name: Okti Regulation Number: 21 CFR 882.1400 Regulation Name: Electroencephalograph Regulatory Class: Class II Product Code: GWQ Dated: January 6, 2023 Received: January 10, 2023
Dear Dave Yungvirt:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's
{1}------------------------------------------------
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-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (OS) 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,
Patrick Antkowiak -S
for Jay Gupta Assistant Director DHT5A: Division of Neurosurgical, Neurointerventional and Neurodiagnostic Devices OHT5: Office of Neurological and Physical Medicine Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known)
Device Name Okti
Indications for Use (Describe)
The Okti System is intended for use in the recording, displaying, analysis, printing and storage of human biological parameters such as heart and muscle activity, eye movement, breathing and body movements to assist in the diagnosis of various neurological disorders. The Okti is designed for use in a hospital or other clinical environment. The Okti is only to be used under the direction of a physician.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------------------------------------------------------|
| <span style="text-decoration: underline;">X</span> 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/0 description: The image is a logo for Compumedics. The logo features a blue circle with a stylized "m" inside of it. To the right of the circle is the word "COMPUMEDICS" in blue, all caps. Below the company name is the tagline "Defining Life's Signals" in a smaller font.
# 510(k) Summary
#### Device Name: Okti
The following 510(k) summary is being submitted in accordance with 21 CFR 807.92.
#### Submission Details
Fax number:
#### Applicant Information:
| Submitter: | Compumedics Limited |
|-----------------|--------------------------------------------------------------|
| Address: | 30-40 Flockhart Street, Abbotsford 3067, Victoria, Australia |
| Phone number: | +61 (0) 3 8420 7300 |
| Fax number: | +61 (0) 3 8420 7399 |
| Contact person: | Michael Frischman |
| Address: | 30-40 Flockhart Street, Abbotsford 3067, Victoria, Australia |
| Phone number: | +61 (0) 3 8420 7362 |
Email: michael.frischman@compumedics.com.au Submission Prepared: 02/11/2022
## Subject Device Information:
| Trade name: | Okti |
|-----------------------|---------------------------------------------|
| Common name: | Okti |
| Primary Product code: | GWQ |
| Classification Names: | Full-Montage Standard Electroencephalograph |
| Panel: | Neurology |
| Device class: | II |
| Regulation numbers: | 21 CFR 882.1400 |
+ 61 (0) 3 8420 7399
## Predicate Device Information
| Trade Name: | Grael System |
|-----------------------|--------------------------------------------------------------------------|
| Model: | Grael EEG |
| Manufacturer: | Compumedics Limited |
| 510(k) number: | K093223 |
| 510(k) Decision Date: | 15th January 2010 |
| Classification: | Full-Montage Standard Electroencephalograph, Ventilatory Effort Recorder |
| Product code: | GWQ, MNR |
| Device class: | II |
| Regulation numbers: | 21 CFR 882.1400 |
## Intended Use / Indications For Use
The Okti System is intended for use in the recording, displaying, analysis, printing and storage of human biological parameters such as heart and muscle activity, eye movement, breathing and body movements to assist in the diagnosis of various neurological disorders. The Okti is designed for use in a hospital or other clinical environment. The Okti is only to be used under the direction of a physician.
{4}------------------------------------------------
Image /page/4/Picture/0 description: The image shows the logo for Compumedics. The logo features a blue circle with a stylized "m" inside, followed by the word "COMPUMEDICS" in blue, sans-serif font. Below the company name is the tagline "Defining Life's Signals".
# Device Description
The Okti is a physiological data acquisition device intended for conducting EEG studies. It is used in conjunction with a PC running Compumedics Profusion EEG software. Power is provided by either an internal Lithium-Ion battery or a POE 100BASE-TX network connection.
Physically, the Okti comprises a base unit housing the battery and digital electronic circuits. A changeable module connects to the base unit and houses the analogue circuity and electrode connectors providing options for 32, 64 or 128 referential, or single ended, channels primarily intended for EEG. Each module includes several differential inputs for electrode-based signals such as ECG, EMG or EOG. All these inputs are class CF for patient safety.
Patient physiological data is digitised using multiple 24-bit ADCs and filtered using fixed point FIR filters implemented internally to an FPGA located in the analogue module. The data is transferred to a generalpurpose processor in the base unit over a synchronous serial link. From there the patient data may be saved to a device internal SD card or sent to a remote PC over an Ethernet or Wi-Fi LAN connection. A Bluetooth interface is also included for connection to external devices such as an oximeter.
The Okti system is available in Okti32, Okti64, or Okti128. These differ only in channel number with below characteristics.
| Model | Inputs |
|---------|----------------------------------------------------------------------------------------------------------------------|
| Okti32 | 32, DC-coupled, fully isolated, referential (monopolar); 8 user-defined, DC-coupled, fully isolated, bipolar inputs |
| Okti64 | 64, DC-coupled, fully isolated, referential (monopolar); 4 user-defined, DC-coupled, fully isolated, bipolar inputs |
| Okti128 | 128, DC-coupled, fully isolated, referential (monopolar); 8 user-defined, DC-coupled, fully isolated, bipolar inputs |
## Comparison to Predicate Device
The Okti's predicate device is the Grael (K093223) comprises two primary models: the Grael, is a full channel device suitable for conducting either PSG or EEG studies; and the Grael EEG, a reduced channel device suitable for EEG studies only.
The Grael EEG is optimized for neurological studies, and does not contain inputs used for respiratory monitoring during PSG which are not necessary for neurological studies. The Grael EEG model is the predicate device and claims relating to PSG are not being made for the Okti.
| Characteristic | Okti | Grael EEG |
|----------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Usage | | |
| 510(k) Number | - | K093223 |
| Classification | 882.1400 | 882.1400 |
| Product Code | GWQ | GWQ |
| Class | II | II |
| Intended Use | EEG studies to assist in the<br>diagnosis of various<br>neurological disorders | EEG studies to assist in the<br>diagnosis of various<br>neurological disorders |
| Type of Use | Prescription Only | Prescription Only |
| Use Environment | Hospital / Clinical use only | Hospital / Clinical use only |
| Temperature | -10°C to 50°C storage/non-<br>operating<br>0°C to 40°C operating | -10°C to 50°C storage/non-<br>operating<br>0°C to 40°C operating |
| Relative Humidity | 20 to 90% relative humidity<br>non-condensing | 20 to 90% relative humidity<br>non-condensing |
| Altitude | < 3000m | < 3000m |
| | Physical Specifications | |
| | Dimensions | Base unit: 84mm x 43mm x 184mm<br>Amplifier module: 32ch 84mm x 26mm x 150mm<br>64-ch: 84mm x 25mm x 150mm<br>128-ch: 84mm x 33mm x 150mm |
| | Mass | Base unit: < 225g battery not fitted<br>< 555g battery fitted<br>Amplifier module weight:<br>32ch < 145g<br>64-ch < 170g<br>128ch < 155g |
| | Electrical Specifications | |
| | Power Supply | Power is provided by either rechargeable Lithium-ion battery (6400 mAH, > 300 charge/discharge cycle at 23°C, 11.25 volts) or Power Over Ethernet (either mid-span injector or PoE switch, per IEEE 802.3af standard) |
| Operating Voltage | 48 Volts | 48 Volts |
| Power Consumption | < 4 Watts | < 10 Watts |
| | Channel Specifications | |
| Input Impedance | > 100 MΩ all channels | > 100 MΩ channels 1-32<br>> 20 MΩ channels 33-40 |
| Bias Current | Typically 1nA | Typically 1nA |
| Input Noise | < 2 µV peak-to-peak typical<br>(referential) | < 2 µV peak-to-peak typical<br>(referential) |
| Input Range | User Selectable:<br>300mV peak-to-peak 600mV peak-to-peak 1200mV peak-to-peak 3000mV peak-to-peak | User selectable:<br>300mV peak-to-peak<br>600mV peak-to-peak<br>1200mV peak-to-peak<br>3000mV peak-to-peak |
| CMRR | > 100dB | > 100dB |
| Crosstalk | < -60dB | < -60dB |
| High Pass Filter | DC Coupled all channels | DC Coupled on all channels |
| Low Pass Filter | 3dB cut-off frequency (fc) at sampling rate (Fs):<br>fc = 71 Hz, Fs = 256 Hz<br>fc = 143 Hz, Fs = 512 Hz<br>fc = 284 Hz, Fs = 1024 Hz<br>fc = 580 Hz, Fs = 2048 Hz<br>fc = 1150 Hz, Fs = 4096 Hz | 3dB cut-off frequency (fc) at sampling rate (Fs):<br>fc = 71 Hz, Fs = 256 Hz<br>fc = 143 Hz, Fs = 512 Hz<br>fc = 284 Hz, Fs = 1024 Hz<br>fc = 580 Hz, Fs = 2048 Hz<br>fc = 1150 Hz, Fs = 4096 Hz |
| Notch Filter | Software based display filtering of 50Hz, 60Hz or off | Software based filtering of 50Hz, 60Hz or off |
| Isolation Specifications | Complies with IEC 60601-1 | Complies with IEC 60601-1 |
| Analogue to Digital<br>Converter | 24 bit resolution | 24 bit resolution |
| Sample and Data rates | Data sampled at 16384<br>samples per second and<br>decimated to data rates<br>shown below. Actual data<br>rate sent is determined by<br>controlling PC software<br>application.<br>Output data rates of 4096,<br>2048, 1025, 512 or 256<br>samples per second. | Data sampled at 16384<br>samples per second and<br>decimated to data rates<br>shown below. Actual data<br>rate sent is determined by<br>controlling PC software<br>application.<br>Output data rates: 4096,<br>2048, 1024, 512, or 256<br>samples per second. |
| Communication Interface | | |
| Software | Profusion EEG for amplifier<br>configuration, data<br>acquisition, and display | Profusion EEG for amplifier<br>configuration, data<br>acquisition, and display |
| Network Types | IEEE 802.3/802.3u Ethernet,<br>auto MDIX Requires an IEEE<br>802.3af compliant switch or<br>mid-span power injector and<br>network isolator<br><br>Wi-Fi interface IEEE 802.11a,<br>802.11b, 802.11g and<br>802.11n compatible | 802.3/802.3u twisted pair<br>Ethernet with auto MDIX;<br>RJ45 connector |
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image is a logo for Compumedics. The logo features a blue circle with a stylized "m" inside of it. To the right of the circle is the word "COMPUMEDICS" in blue, and below that is the tagline "Defining Life's Signals" also in blue.
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image is a logo for Compumedics. The logo features a blue circle with a stylized "m" inside of it. To the right of the circle is the word "COMPUMEDICS" in blue, with the trademark symbol in the upper right corner. Below the word is the phrase "Defining Life's Signals" in a smaller font.
# Summary of Performance Data
An extensive collection of tests have been conducted and successfully completed including,
- . Electrical Safety Testing as per IEC 60601-1:2005. These ensure there is no potential for detrimental effects on patients, other persons, animals or the surroundings. They relate particularly to aspects concerning electrical safety such as means of operator protection, protection against electric shock and other hazards; as well as mechanical aspects such as construction and protection against spillage.
- . Electromagnetic Compatibility Testing as per IEC 60601-1-2, and modification by the listed particular and collateral standards. These EMC tests were designed to verify that device emissions are in accordance with allowable limits, as well as device immunity against electrical and magnetic phenomena which may be expected to encounter in line with its intended use.
- . Electroencephalograph safety and performance testing as per IEC 80601-2-26. Testing against the particular standard for electroencephalograph includes validation against multiple essential performance requirements such as accuracy of amplitude and rate of variation signal reproduction, input dynamic range and differential offset voltage, input noise, frequency response, and common mode rejection ratio.
- Bench testing against Okti functional requirements to ensure that performance meets hardware and software design specifications
Further details such as device specifications, test requirements, acceptance criteria, results, and evaluation are available throughout this 510(k) submission. All tests passed with results equivalent to the Grael, and did not raise additional concerns of safety and effectiveness.
## Conclusion
Compumedics Ltd. considers the Okti to be substantially equivalent to its predicate devices the Grael System, specifically the Grael EEG model. The indications for use, technological characteristics, and
{7}------------------------------------------------
Image /page/7/Picture/0 description: The image shows the logo for Compumedics. The logo features a blue circle with a stylized "m" inside, followed by the company name "COMPUMEDICS" in blue, uppercase letters. Below the company name is the tagline "Defining Life's Signals" in a smaller font.
underlying principles of operation are the same. There are no questions of safety and effectiveness, and substantial equivalence is supported by extensive performance testing data.
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.