K033452 · Fasstech · IKN · Nov 28, 2003 · Physical Medicine
Device Facts
Record ID
K033452
Device Name
CWAS 1000
Applicant
Fasstech
Product Code
IKN · Physical Medicine
Decision Date
Nov 28, 2003
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 890.1375
Device Class
Class 2
Attributes
3rd-Party Reviewed
Indications for Use
The CWAS 100 is a non-invasive, multi-modality physiologic monitoring device. The device measures several physiologic signals, and its software generates a report. The CWAS 100 measures the following physiologic signals: Bilateral differences in surface EMG along the spine Heart Rate Skin temperature Galvanic Skin Resistance Body fat percentage in subjects eighteen years and older
Device Story
CWAS 100 is a non-invasive, multi-modality physiologic monitoring device. Inputs include surface EMG (spine), heart rate (IR plethysmograph), skin temperature (thermopile), galvanic skin resistance (constant current conductance), and body fat percentage (near-infrared photo reflectance). Hardware consists of an instrument console with five sensor types and a PC connection via isolated USB. Software displays real-time signals, allows user entry of additional physiologic data (blood pressure, lung capacity, strength), and generates a summary report. Used in clinical settings; operated by healthcare providers. Output provides objective physiologic data to assist clinicians in patient assessment. Benefits include consolidated monitoring of multiple physiologic parameters in a single report.
Clinical Evidence
Bench testing only. No clinical data provided. Performance specifications verified through electrical and physical testing, including common mode rejection (150 dB), bandwidth (20-500 Hz), and sensor accuracy (±0.2°F for temperature).
Technological Characteristics
Multi-modality monitor with 16-bit A/D conversion. Sensors: surface EMG (low-noise preamplifiers), IR plethysmograph, thermopile, GSR (gold-plated brass), and IR body composition (pin photodiode, IR LEDs >750 nM). Connectivity: isolated USB to PC. Power: UL2601 compliant internal supply with DC-to-DC patient isolation. Construction: impact-resistant ABS/aluminum. Software: real-time signal display and reporting.
Indications for Use
Indicated for subjects eighteen years and older for the measurement of physiologic signals including bilateral surface EMG along the spine, heart rate, skin temperature, galvanic skin resistance, and body fat percentage.
Regulatory Classification
Identification
A diagnostic electromyograph is a device intended for medical purposes, such as to monitor and display the bioelectric signals produced by muscles, to stimulate peripheral nerves, and to monitor and display the electrical activity produced by nerves, for the diagnosis and prognosis of neuromuscular disease.
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# Section 1: Device Name
Electromyograph, Diagnostic Common or Usual Name: Proprietary Model Name: CWAS 100 Electromyograph, Diagnostic Regulation Name: Regulation Number: 21 CFR 890.1375
## Section 2: Indications for Use
The CWAS 100 is a non-invasive, multi-modality physiologic monitoring device. The device measures several physiologic signals, and its software generates a report.
The CWAS 100 measures the following physiologic signals:
- 파 Bilateral differences in surface EMG along the spine
- 체 Heart Rate
- Skin temperature 보
- 트 Galvanic Skin Resistance
- Body fat percentage in subjects eighteen years and older
## Device Description Section 3:
The CWAS 100 is a non-invasive, multi-modality physiologic monitoring device. The CWAS 100 contains the following five sensor types: (1) surface EMG, (2) IR Plethsmograph, (3), Skin temperature, (4) Galvanic Skin Resistance and (5) IR Body Composition Analyzer.
## Hardware
The CWAS 100 hardware consists of an instrument console and five different sensor types. All five sensor types plug directly into the front panel of the CWAS 100 Instrument Console. The CWAS 100 Console is powered via a UL2601 listed power supply. The Instrument Console is connected to a personal computer (IBM compatible) via an isolated USB port connection.
## Software
The CWAS 100 software displays real-time surface EMG, heart rate, skin temperature, Galvanic Skin Resistance, and Body Composition, allowing the user to ensure that readings are stable prior to data collection. The CWAS 100 software allows the user to: (1) enter patient information, (2) record surface EMG, heart rate, skin temperature, Galvanic Skin Resistance, and Body Composition, and (3) print out a data report which summarizes the results of the above sensors as well as blood pressure, vital lung capacity, and chest, leg and back strength, which are data provided by the user.
510(k) Summary Fasstech CWAS 100
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# K033452 20f6
### Predicate Device Section 4:
The CWAS 100 is an expansion of the Insight Millennium III, a device that we have previously registered with FDA. The CWAS 100 differs from the Insight Millennium III in the following manners:
- 1. Hardware: Addition of two new sensors, and the elimination of two previous sensors.
- Software: The Insight Millennium III software has been modified to: (1) add the display and 2. reporting functionality for the two new CWAS 100 sensors, (2) remove the display and reporting functionality for the two eliminated Insight Millennium III sensors, and (3) add the functionality to have the user enter other physiologic data about the patient, and incorporate this information into the reporting function.
The balance of this section documents the substantial equivalence of CWAS 100 to the following three products:
| Manufacturer | Predicate Device Name | 510(k) Number |
|------------------------|-----------------------|---------------|
| Insight Millennium III | Fasstech | K023209 |
| Biofeedback System/3 | Davicon | K914920 |
| Futrex 6100/XL | Futrex, Inc. | K963271 |
The CWAS 100 is equivalent to these legally marketed devices in the following ways:
- The physical characteristics and electrical characteristics (performance characteristics) of the 트 CWAS 100 are equivalent to the Insight Millennium III. The only difference is the addition of two sensor types (Galvanic Skin Resistance and IR Body Composition Analyzer), and the elimination of two sensors that were part of the Insight Millennium III (Algometer and Inclinometer).
- . The physical characteristics and electrical characteristics (performance characteristics) of the CWAS 100 Galvanic Skin Resistance sensor is equivalent to the Biofeedback System/3 Galvanic Skin Resistance sensor
- 비 The CWAS 100 IR Body Composition Analyzer sensor is the Futrex 6100/XL sensor. This sensor is registered with FDA, and has been combined with the CWAS 100 for user convenience.
The CWAS 100 differs from these legally marketed devices in the following ways:
- The device types listed above have been combined for reasons of user convenience. ■
- 피 The CWAS 100 data report combines a variety of physiologic data for user convenience.
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# K033452 3of 6
## Predicate Device Comparison Chart
| Component | Feature | CWAS 100 | Insight<br>Millennium III | Futrex 6100 | Biofeedback<br>System/3 |
|-----------------------------|--------------------------|--------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|------------------------------------|-------------------------------------|
| Surface EMG | | Yes | Yes | N/A | N/A |
| | Calibrated Range | 0.1 - 999 uV | 0.1 – 999 uV | N/A | N/A |
| | Common Mode<br>Rejection | 150 dB | 150 dB | N/A | N/A |
| | Bandwidth | 20-500 Hz (50/60<br>Hz notch) | 20-500 Hz (50/60<br>Hz notch) | N/A | N/A |
| Skin<br>Temperature | | Yes | Yes | N/A | N/A |
| | Calibrated Range | 55°F - 120°F | 55°F - 120°F | | |
| | Accuracy | $\pm$ 0.2°F nominal | $\pm$ 0.2°F nominal | | |
| IR<br>Plethsmograph | | Yes | Yes | N/A | N/A |
| | Output Voltage | 5 - 50 mV, typical<br>at rest | 5 - 50 mV, typical<br>at rest | N/A | N/A |
| | Output Impedance | 1 kΩ, nominal | 1 kΩ, nominal | N/A | N/A |
| Instrument<br>Console | | | | | |
| | Output | Isolated USB | Isolated USB | N/A | N/A |
| | A/D converter | 16 bit, 16<br>channel | 16 bit, 16<br>channel | N/A | N/A |
| | Controls | None | None | N/A | N/A |
| | Indicators | Rear Panel:<br>Green LED<br>Power Indicator<br>Front Panel:<br>Green LED PC<br>connect Indicator | Rear Panel:<br>Green LED<br>Power Indicator<br>Front Panel:<br>Green LED PC<br>connect Indicator | N/A | N/A |
| | Power | 12 VDC, 28 W<br>converter,<br>internal. | 12 VDC, 28 W<br>converter,<br>internal. | N/A | N/A |
| | Physical | 3.5"H x<br>8.375"W x 9"D.<br>Weight 3 lbs. 11<br>oz | 3.5"H x<br>8.375"W x 9"D.<br>Weight 3 lbs. 11<br>oz | N/A | N/A |
| Range of Motion<br>Sensor | | No | Yes | N/A | N/A |
| Algometer | | No | Yes | | |
| IR Body | | Yes | N/A | Yes | N/A |
| Composition<br>Analyzer | | | | | |
| | Measurement<br>Method | Near Infrared<br>Photo Reflectance | N/A | Near Infrared<br>Photo Reflectance | N/A |
| | Transmitters | Sequenced IR<br>LEDs , > 750 nM | N/A | Sequenced IR<br>LEDs , > 750 nM | N/A |
| | Measurement<br>Range | 3% - 45% Body<br>Fat | N/A | 3% - 45% Body<br>Fat | N/A |
| Galvanic Skin<br>Resistance | | Yes | N/A | N/A | Yes |
| | Measurement<br>Method | Constant Current<br>Conductance | N/A | N/A | Constant Current<br>Conductance |
| | Sensor Type | 2 each 1x2 cm<br>gold-plated brass | N/A | N/A | 2 each 1.0 cm2<br>gold-plated brass |
| | Current Density | 1.5 uA per cm2 | N/A | N/A | 3.0 uA per cm2 |
| | Measurement<br>Range | 1-100 Siemens | N/A | N/A | 0.8 - 50 Siemens |
| | Filtering | 3 pole Low Pass<br>F0 at 6 Hz | N/A | N/A | 12 Hz low pass,<br>18dB/oct |
| | Output Format | Logarithmic 40<br>dB range | N/A | N/A | A.C. logarithmic |
:
510(k) Summary
Fasstech
CWAS 100
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# K033452 4 of 6
# Section 5: Performance Specification
The CWAS 100 specifications are summarized below:
## EMG
Electrodes:
Calibrated Range: Input Bias Current: Differential Input Impedance: Common Mode Rejection: Bandwidth: Noise: Detector: Controls:
## Temperature
Calibrated Range: Accuracy: Sensors:
Controls: Physical:
Size:
510(k) Summary Fasstech CWAS 100
4 ea. Smart Sensors with low-noise preamplifiers integral to electrode assemblies 0.1 – 999 uV Less than 2.0 Picoamperes Greater than 1,000,000 Megaohms 150 dB 20-500 Hz (50/60 Hz notch) Less than 0.1 uV (inputs shorted) Log power detector, 250 mS averaging filter. None
55°F - 120°F ±0.2ºF nominal Two thermopile, fixed 2.5" apart (center-tocenter) Enter button Case Material: Impact-resistant, Aluminum with 0.5" ABS Plastic Outer Ring. 5.5"L x 3.5"W x 2.5"H. Weight 15 oz.
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KD33452 5 of 6
| IR Plethsmograph | | |
|-------------------------------------|---------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Sensor Type | IR Plethsmograph (attached to finger with<br>Velcro) |
| | Output Voltage: | 5 - 50 mV, typical at rest |
| | Output Impedance: | 1 kΩ, nominal |
| | Weight: | 28 grams |
| | Sensor Size: | 15 x 15 x6.3 mm |
| Galvanic Skin Resistance | | |
| | Measurement Method: | Constant Current Conductance |
| | Sensor Type: | 2 each 1x2 cm gold-plated brass |
| | Current Density: | 1.5 uA per cm² |
| | Measurement Range: | 1-100 Siemens |
| | Filtering: | 3 pole Low Pass Fo at 6 Hz |
| | Output Format: | Logarithmic 40 dB range |
| Futrex IR Body Composition Analyzer | | |
| | Measurement Method: | Near Infrared Photo Reflectance |
| | Sensor Type | Pin Photodiode |
| | Transmitters: | Sequenced IR LEDs , > 750 nM |
| | Measurement Range: | 3% - 45% Body Fat |
| | Dimensions: | 2.3" diameter, and 0.8" height |
| Instrument Console | | |
| | Inputs: | 4 each EMG electrodes<br>1 each temperature sensor<br>1 each IR Plethsmograph sensor<br>1 each GSR sensor<br>1 each Futrex IR Body Composition sensor |
| | Output: | Isolated USB |
| | A/D converter: | 16 bit, 16 channel |
| | Controls: | None |
| | Indicators: | Rear Panel: Green LED Power Indicator<br>Front Panel: Green LED PC connect Indicator |
| | Power: | 12 VDC, 28 W converter, internal. |
| | Physical: | Case Material: Impact resistant, flame retardant<br>ABS.<br>3.5"H x 8.375"W x 9"D. Weight 3 lbs. 11 oz. |
| | | |
## Section 6: Patient Safety
The CWAS 100 patient isolation is assured by the following two electrical isolation barriers:
- Medical-Grade Universal Power Supply: This device is a UL2601 compliant AC line to 1. 12 VDC, 28 W converter. This internal power supply is partitioned from all other circuitry via an earthed steel chassis. The power supply accepts 85-264 VAC, and 47-63 Hz via a IEC 60320 fused input module.
510(k) Summary Fasstech CWAS 100
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K03452 6 of b
This supply provides low-level isolated power to the Non-Patient Side of the CWAS 100 circuitry, as well as power to the DC-to-DC isolation converter that powers to the Patient Side (see #2 below).
- DC-to-DC Patient Isolation Converter: This converter is a UL2601 compliant DC-to-DC 2. converter, and meets the dielectric withstand and leakage current requirements of the UL2601 standard for Patient Care Equipment with isolated patient leads.
This converter supplies all power to patient-applied parts and related circuitry. Each of the direct patient-applied parts have individual current limiters for fault condition.
In addition, the Patient Side of the CWAS 100 is isolated from the host PC as follows:
- Signals are converted from analog voltages to 16 bit 3. Optically Isolated Data Link: digital values by the analog-to-digital converter (ADC). The digital data is sent to and from the USB of the PC across an optically isolated data link.
This optical link is UL2601 compliant, providing the dielectric withstand and low leakage current characteristics specified in UL2601.
### Section 7: Conclusion
The CWAS 100 is substantially equivalent to the predicate devices. Furthermore, the device is safe and effective for its intended use.
510(k) Summary Fasstech CWAS 100
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Image /page/6/Picture/1 description: The image shows the seal of the Department of Health & Human Services - USA. The seal is circular, with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is an image of a stylized eagle with three human profiles incorporated into its design. The eagle's head is facing left, and the profiles are stacked on top of each other.
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
NOV 2 8 2003
Fasstech c/o Mr. Ned Devine Entela, Inc. 3033 Madison Avenue S.E. Grand Rapids, Michigan 49548
Re: K033452
Trade/Device Name: CWAS 100 Regulation Number: 21 CFR 890.1375 Regulation Name: Diagnostic electromyograph Regulatory Class: II Product Code: IKN Dated: November 13, 2003 Received: November 14, 2003
Dear Mr. Devine:
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.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to such 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); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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Page 2 - Mr. Ned Devine
This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Office of Compliance at (301) 594-4659. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours,
Sincerely yours,
Mark A. Millman
Celia M. Witten, Ph.D., M.D. Director Division of General, Restorative and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Page Lof 1
510(k) Number (if known): ____________________________________________________________________________________________________________________________________________________
Device Name: CWAS 100
Indications for Use:
The CWAS 100 is a non-invasive, multi-modality physiologic monitoring device. The device measures several physiologic signals, and its software generates a report.
The CWAS 100 measures the following physiologic signals:
- Bilateral differences in surface EMG along the spine �
- Heart Rate 트
- 피 Skin temperature
- Galvanic Skin Resistance 방
- Body fat percentage in subjects eighteen years and older 트
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
R. Merle A. Milliken
ivision Sign-Off ivision of General, Restorative and Neurological Devices
510(k) Number K033452
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.