K163070 · Kent Imaging, Inc. · MUD · May 5, 2017 · Cardiovascular
Device Facts
Record ID
K163070
Device Name
Kent Camera
Applicant
Kent Imaging, Inc.
Product Code
MUD · Cardiovascular
Decision Date
May 5, 2017
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2700
Device Class
Class 2
Indications for Use
The Kent Camera is intended for use by healthcare professionals as a non-invasive tissue oxygenation measurement system that reports an approximate value of: - oxygen saturation (StO2), - relative oxyhemoglobin level (HbO2), and - relative deoxyhemoglobin (Hb) level in superficial tissue. The Kent Camera displays two-dimensional color-coded images of tissue oxygenation of the scanned surface and reports multispectral tissue oxygenation measurements for selected tissue regions. The Kent Camera is indicated for use to determine oxygenation levels in superficial tissues.
Device Story
Handheld digital camera; uses multispectral imaging to measure superficial tissue oxygenation. Inputs: back-scattered NIR light from tissue illuminated by LEDs. Processing: spectral analysis at 4 wavelengths; uses modified Beer-Lambert model to calculate StO2, HbO2, and Hb. Output: 2D color-coded oxygenation map and numeric measurements. Used in healthcare environments by professionals. Benefits: non-invasive visualization of local/regional tissue oxygenation; aids assessment of circulatory compromise. Battery-powered; replaces previous stand-based design.
Clinical Evidence
Clinical agreement study (n=17 healthy volunteers) compared battery-powered Kent Camera (KC203) to predicate (KC103) using a forearm ischemia-reperfusion protocol. Primary endpoints: linear relationship and bias quantification via Deming regression and Bland-Altman analysis. Results: 95% CI for slope [0.932-0.959], intercept [0.020-0.040]. Bland-Altman bias 95% CI [-0.004, 0.003] StO2 units. 95% limits of agreement -0.13 to 0.12 StO2 units. >85% of paired measurements differed by <0.1 StO2 units. Study confirmed excellent linear correlation and operational equivalence across normal and ischemic ranges.
Technological Characteristics
Handheld multispectral imaging system. CMOS image sensor with global shutter. Light source: LEDs (4 wavelengths, 600-1000nm). Power: DC battery-powered. Connectivity: standalone. Sterilization: not sterile. Software: modified Beer-Lambert model for spectral analysis. Compliant with ANSI/AAMI ES60601-1, IEC 60601-1-2, IEC 62133:2012, and UN38.3:2009.
Indications for Use
Indicated for healthcare professionals to determine oxygenation levels in superficial tissues for patients with potential circulatory compromise.
Regulatory Classification
Identification
An oximeter is a device used to transmit radiation at a known wavelength(s) through blood and to measure the blood oxygen saturation based on the amount of reflected or scattered radiation. It may be used alone or in conjunction with a fiberoptic oximeter catheter.
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## DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/0/Picture/1 description: The image shows the seal of the U.S. Department of Health and Human Services. The seal is circular and contains the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. In the center of the seal is an abstract symbol that resembles three human profiles facing to the right. The symbol is stylized and appears to be formed from a single continuous line.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
May 05, 2017
Kent Imaging Inc. Darrell Barnhart Vice President 1440, 720 - 13th Avenue SW Calgary, T2R 1M5 CA
Re: K163070
Trade/Device Name: Kent Camera Regulation Number: 21 CFR 870.2700 Regulation Name: Oximeter Regulatory Class: Class II Product Code: MUD Dated: April 4, 2017 Received: April 5, 2017
Dear Darrell Barnhart:
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 (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.
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.
Sincerelv.
M.R. Hilleman
for
Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K163070
Device Name Kent Camera
Indications for Use (Describe)
The Kent Camera is intended for use by healthcare professionals as a non-invasive tissue oxygenation measurement system that reports an approximate value of:
- oxygen saturation (StO2),
- relative oxyhemoglobin level (HbO2), and
- relative deoxyhemoglobin (Hb) level
in superficial tissue. The Kent Camera displays two-dimensional color-coded images of tissue oxygenation of the scanned surface and reports multispectral tissue oxygenation measurements for selected tissue regions.
The Kent Camera is indicated for use to determine oxygenation levels in superficial tissues.
| Type of Use (Select one or both, as applicable) | |
|-----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------|
| <div><span style="font-size:16px">☒</span> Prescription Use (Part 21 CFR 801 Subpart D)</div> | <div><span style="font-size:16px">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C)</div> |
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Image /page/3/Picture/0 description: The image shows the logo for Kent Imaging Inc. The word "Kent" is written in large, bold, blue letters. Below the word "Kent" and slightly to the right, the words "Imaging Inc" are written in smaller, black letters. The background of the image is white.
## 510(k) Summary
## Kent Camera (May 4, 2017)
### Submittal Information:
Post-approval contact: Darrell Barnhart Kent Imaging Inc. 1440, 720 - 13th Avenue SW Calgary, AB, Canada T2R 1M5
Phone: 403-455-7610 Fax: 877-664-5450
#### Device and Classification Name
Proprietary Name: Kent Camera Common Name: Tissue Oximeter Oximeter, Tissue Saturation (21 CFR 870.2700, Product Code: 74 MUD) Classification Name:
#### Predicate Device
Kent Camera, 510(k) K113507, Kent Imaging Inc.
#### Intended Use
The Kent Camera is intended for use by healthcare professionals as a non-invasive tissue oxygenation measurement system that reports an approximate value of:
- oxygen saturation (StO2),
- . relative oxyhemoglobin level (HbO2), and
- relative deoxyhemoglobin (Hb) level
in superficial tissue. The Kent Camera displays two-dimensional color-coded images of tissue oxygenation of the scanned surface and reports multispectral tissue oxygenation measurements for selected tissue regions.
The Kent Camera is indicated for use to determine oxygenation levels in superficial tissues.
## Device Description
The Kent Camera is a handheld digital camera based on multispectral imaging technology and performs spectral analysis at each point in a two-dimensional scanned area producing an image displaying information derived from the analysis. The Kent Camera determines the approximate values of oxygen saturation (S.O2), relative oxyhemoglobin (HbO2) and deoxyhemoglobin levels (Hb) in superficial tissues and displays a two-dimensional, color-coded image of the tissue oxygenation (StO2).
The camera consists of a camera, a recharger, and a reference card for calibration and is used by healthcare professionals in a healthcare environment to determine oxygenation levels in superficial tissues for a patient population with potential circulatory compromise.
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## Comparison to predicate device
| Comparative<br>Feature | Kent Imaging, Inc.<br>Modified Kent<br>Camera | Kent Imaging, Inc.<br>Predicate Kent Camera | Significant Differences |
|------------------------------------------|---------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Indications for<br>Use | Same | The Kent Camera is intended<br>for use by healthcare<br>professionals as a non-<br>invasive tissue oxygenation<br>measurement system that<br>reports an approximate<br>value of oxygen saturation<br>$(StO2)$ , relative<br>oxyhemoglobin (HbO₂) and<br>deoxyhemoglobin (Hb) level<br>in superficial tissue. The Kent<br>Camera displays two-<br>dimensional color-coded<br>images of tissue oxygenation<br>of the scanned surface and<br>reports multispectral tissue<br>oxygenation measurements<br>for selected tissue regions.<br>The Kent Camera is indicated<br>for use to determine<br>oxygenation levels in<br>superficial tissues. | none |
| Measurements | Same | oxygen saturation relative oxyhemoglobin level relative deoxyhemoglobin level | none |
| Method of<br>Measurement | Same | Non-invasive, non-patient<br>contacting imaging head<br>illuminates the surface and<br>receives returned light | none |
| | Minor center<br>wavelength change<br>and increased<br>bandwidth | Four wavelengths between<br>600nm and 1000nm | Different. Both use specific<br>weighted coefficients. The<br>change had no effect on<br>performance and does not<br>present any additional safety<br>or effectiveness concerns. |
| | A CMOS image<br>sensor with global<br>shutter is used as<br>the detector | A wavelength-filtered CMOS<br>image sensor with rolling<br>shutter is used as the<br>detector | Similar. Both are CMOS<br>sensors. The change in<br>shutter type had no effect on<br>performance and does not<br>present any additional safety |
| | | | or effectiveness concerns. |
| | Same | Spectral analysis at specific<br>wavelengths of light<br>returned from the target<br>tissue | none |
| Light Source | Higher intensity,<br>shorter duration | Lower intensity, longer<br>duration | Similar. Both use LEDs. The<br>change in LEDs had no effect<br>on performance and does<br>not present any additional<br>safety or effectiveness<br>concerns. |
| Ambient Light | Insignificant<br>contribution to<br>image (relative to<br>NIR LEDs) due to<br>short exposure time | Blocked by optical filters | Different. Both compensate<br>for ambient light. The<br>change in filtering of light<br>had no effect on<br>performance and does not<br>present any additional safety<br>or effectiveness concerns. |
| Excessively Bright<br>Ambient Light | Same | Checked for in software | none |
| Working Distance | Approximately 12" | Approximately 16" | Similar. Both have the same<br>approximate working<br>distance. The change in<br>working distance had no<br>effect on performance and<br>does not present any<br>additional safety or<br>effectiveness concerns. |
| Output Display | Same | Two-dimensional color-<br>coded map of estimated<br>oxygen saturation Numeric data | none |
| Power Source | DC (battery-<br>powered) | AC | Different. The device power<br>source was changed from AC<br>to DC (battery-powered).<br>The change from AC to DC<br>(battery-powered) does not<br>affect the oxygenation data<br>provided, had no effect on<br>performance and does not<br>present any additional safety<br>or effectiveness concerns. |
| Patient Contact | Same | None | none |
| Patient<br>Population and<br>Environment | Same | Healthcare environment for<br>patient population with<br>potential circulatory<br>compromise | none |
| Location of<br>Measurement | Same | Two-dimensional area of<br>superficial tissue | none |
| Control Method | Same | Computer controlled | none |
| Calibration | Same | Preformed at start-up by<br>operator. Performed<br>periodically during extended<br>picture capturing sessions | none |
| Sterility | Same | Camera and components are<br>not supplied sterile, nor are<br>they considered sterile or are<br>to be sterilized | none |
| | Same | • DC-powered<br>touchscreen PC<br>• DC-powered camera<br>(imaging head) | none |
| User Interface | Computer and a<br>battery<br>incorporated into<br>camera enclosure | Stand based design<br>supporting computer, power<br>supply and camera head | Different. The update of the<br>camera from the stand-based<br>device to a handheld device<br>involved changes to the<br>power source, overall<br>dimensions and packaging.<br>The change from stand-<br>based to handheld had no<br>effect on performance and<br>does not present any<br>additional safety or<br>effectiveness concerns as the<br>fundamental scientific,<br>multispectral imaging,<br>technology is the same. |
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### Nonclinical Tests
To support the substantial equivalence, the modified Kent Camera, like the predicate device before, went through and passed both internal testing for user and design requirements as well as international standards. The Kent camera passed testing for the following standards:
- Electrical safety and essential performance: ANSI/AAMI ES60601-1
- Electromagnetic compatibility: IEC 60601-1-2
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As mentioned previously, the modified Kent camera is battery (DC) powered. A medical grade battery was purchased for this purpose and it is compliant with the following standards:
- Battery safety testing: IEC 62133:2012
- Transportation safety testing of lithium batteries: UN38.3:2009
The predicate device uses LEDs in combination with bandpass filters in front of the detector to illuminate the target within narrow passbands. The subject device uses LEDs with minor changes in center wavelength and no bandpass filters which increases the bandwidth of each wavelength. Appropriate matching extinction coefficients are employed and weighted in the subject device to reflect the minor wavelength changes and increased bandwidth of each LED emission profile. This results in both cameras having effectively the same performance in obtaining StO2 values even in the presence of noise.
## Performance Data
A pre-clinical study was conducted comparing tissue oxygen hemoglobin saturation (StO2) measurements taken with the battery-powered Kent Camera (KC203) and the predicate Kent Camera (KC103). The agreement study used a forearm ischemia protocol to evaluate the performance of the devices both within the expected normal range of S-O2 as well as situations where S.O2 is depressed. The forearm ischemia protocol was intended to test the devices over the clinically meaningful dynamic range of StO2.
The study objectives were as follows:
- Demonstrate the linear relationship between the S:O2 measurements from the two devices over a clinically meaningful dynamic range of StO2.
- . Through the use of Bland-Altman plots quantify any scale shift (slope) and bias (difference in mean values) between the devices and estimate the 95% levels of agreement.
The volunteers for our agreement study self-reported as being healthy. We did no further screening to assess their vascular or general health. - The study population consisted of 7 females and 10 males ranging in age from 23 to 72 with the mean age of the study participants being 49. The protocol involved taking pairs of S-O2 pictures with the two cameras of the same region of the volar forearm in quick succession. These were considered matched pairs. Matched pairs of pictures were collected with the forearm under normal baseline perfusion for each subject. Matched pairs of pictures were taken over 3 minutes with the blood flow to the forearm being occluded and for a further 3 minutes with perfusion restored (reperfusion). This occlusion – reperfusion cycle was repeated a second time for each study participant.
## Endpoints Demonstrating Agreement
The devices show a linear agreement over a wide dynamic range of ScO2 spanning the range expected for normal healthy tissue and ischemic tissue. The Deming regression line of agreement has a 95% confidence interval for the slope [0.932 - 0.959] and intercept [0.020 0.040]. The Bland-Altman analysis shows little to no bias between the devices, 95% confidence interval for the intercept [-0.004 0.003] S:O2 units (using S:O2 reported on a scale of 0 to 1). The slope -0.0057, [-0.009 -0.002] indicates less than a 1% scale shift between the two cameras. The 95% limits of agreement (LoA) for the battery-powered minus the predicate device being -0.13 to 0.12 S-O2 units. More than 85% of the paired measurements from the two cameras differ less than 0.1
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S.O2 units. The agreement study concluded that S-O2 measurements from the batterypowered Kent Camera (KC203) and the predicate Kent Camera (KC103) show a linear relationship over a wide and clinically meaningful dynamic range of S-O2. The devices share a common scale (within 1%) and show minimal to no bias. These findings support the use of the battery-powered Kent Camera (KC203) to non-invasively measure superficial tissue hemoglobin oxygen saturation.
### Conclusion
The predicate camera received 510(k) clearance in August 2012. Both cameras work by emitting near-infrared (NIR) light from light emitting diode (LED) sources, illuminating an area of tissue and collecting the back-scattered NIR light from the illuminated area. Both devices use backscattered light centred at 4 distinct near-infrared wavelengths well displaced from the isobestic point of hemoglobin (the point where oxygen bound hemoglobin without bound oxygen have equal light absorbance). Using the publicly available, and widely validated, near-infrared optical properties of hemoglobin and measuring the back-reflected near-infrared light, both devices determine the relative proportion of oxygen bound hemoglobin to the total hemoglobin in the microvascular bed (tissue hemoglobin oxygen saturation, S-O2) using a modified Beer-Lambert model.
In order to determine the operational equivalence of the battery-powered camera and the predicate camera, a convenience sample of 17 volunteer participants were measured over the course of a forearm ischemia protocol. This protocol offers a simple, yet clinically safe method to temporarily change hemoglobin oxygen levels of the forearm. Matched measurements were made with both devices and parametric correlation analysis was used to determine the linear relationship between the battery-powered camera and the predicate camera. The study demonstrated that SiO2 values from both cameras show an excellent linear correlation, 95% Cl for slope [0.932 0.959] and intercept [0.020 0.040], evaluated over wide range of S-O2 levels encompassing the clinical range expected for normal, mildly ischemic and critically ischemic conditions. Based on our study we can unequivocally state that both cameras report a drop from basal SeO2 levels under conditions of known ischemia and report a trend in S-O2 values consistent with the physiological response expected for forearm ischemia - reperfusion. The study supports the intended field of use for our camera, to help visualize local or regional tissue hemoglobin oxygenation (S-O2) in the general population. The two devices show an excellent linear relationship and provide SQ2 readings which statistically and operationally are not significantly different.
#### Basis of Substantial Equivalence
Based on identical manufacturer, intended use, unaltered fundamental scientific technology, equivalent effectiveness and safety results from comparative performance testing, the modified Kent Camera (KC203) is substantially equivalent to the unmodified Kent Camera (KC103).
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.