The intended use of the QED2000 is to record 12-lead ECG signals from patient's heart activity through body surface ECG electrodes. This device can acquire, display, record, analyze, and store these ECG signals from adult patients for review by the user. Analysis of the ECG signals is accomplished with algorithms that provide data presentations, graphical presentations, and measurements. These are presented for review and interpretation by a trained physician or clinician in determining a diagnosis based upon knowledge of the result of physical examination, and other clinical findings. The QED2000 is intended to be used in hospital and general physician's office by trained healthcare professionals.
Device Story
12-lead resting electrocardiograph; acquires, displays, analyzes, stores ECG signals from adult patients via body surface electrodes. Operated by trained healthcare professionals in hospitals/clinics. Input: 12-lead ECG signals (3000 samples/s). Processing: proprietary measurement algorithm generates data/graphical presentations and measurements (P, QRS, T amplitudes/intervals; heart rate; axes). Output: ECG reports via external/network printers; optional export to SD card/FTP/shared directory. Patient info entry via optional USB barcode/magnetic card scanner. Device provides advisory data for physician interpretation; not for cardiac monitoring. Benefits: facilitates diagnostic decision-making based on physical exam and clinical findings.
Clinical Evidence
Bench testing only. Performance validated against IEC 60601-2-25 standards using IEC calibration ECGs and CSE database biological ECGs. Metrics included mean and standard deviation for PR-interval, QRS-duration, and QT-interval. Results demonstrated compliance with established specifications and substantial equivalence to predicate devices.
Indicated for adult patients to acquire, display, record, analyze, and store 12-lead ECG waveforms via body surface electrodes. Used by trained healthcare professionals in hospitals and physician offices. Not intended for use as a cardiac monitor.
Regulatory Classification
Identification
An electrocardiograph is a device used to process the electrical signal transmitted through two or more electrocardiograph electrodes and to produce a visual display of the electrical signal produced by the heart.
{0}------------------------------------------------
Image /page/0/Picture/1 description: The image shows the logo for the Department of Health & Human Services - USA. The logo consists of a circular border with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" written around it. Inside the circle is an emblem that resembles an abstract caduceus, with three stylized human profiles forming the staff and a serpent-like shape winding around them.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
August 9, 2016
ACME Portable Machines, Inc. James Cheng General Manager 1330 Mountain View Circle Azusa, California 91702
Re: K152135
Trade/Device Name: Ouantitative Electrocardiographic Detector (OED 2000) Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II Product Code: DPS Dated: July 7, 2016 Received: July 11, 2016
Dear James Cheng:
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 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.
{1}------------------------------------------------
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 yours,
# Brian D. Pullin -S
for Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Section 4 - Indications for Use Statement
DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
### Indications for Use
510(k) Number (if known) K152135
Device Name Quantitative Electrocardiographic Detector (QED2000)
Indications for Use (Describe) Intended Use:
The intended use of the QED2000 is to record 12-lead ECG signals from patient's heart activity through body surface ECG electrodes. This device can acquire, display, record, analyze, and store these ECG signals from adult patients for review by the user. Analysis of the ECG signals is accomplished with algorithms that provide data presentations, graphical presentations, and measurements. These are presented for review and interpretation by a trained physician or clinician in determining a diagnosis based upon knowledge of the result of physical examination, and other clinical findings.
The QED2000 is intended to be used in hospital and general physician's office by trained healthcare professionals.
Indications for Use:
The QED2000 is intended to be used to acquire, display, record, analyze, and store 12-lead ECG waveforms from adult patients through body surface ECG electrodes. Using algorithms to generate data presentations, graphical presentations, and measurements for review and interpretation by a trained physician in determining a diagnosis based upon knowledge of the patient, the result of physical examination, and other relevant clinical findings.
The QED2000 is intended to be used in hospital and general physician's office by trained healthcare professionals. The QED2000 is not intended to be used as a cardiac monitor.
Type of Use (Select one or both, as applicable)
> 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."
FORM FDA 3881 (8/14)
Page 1 of 1
PSC Publishing Services (301) 443-6740 EF
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement below
{3}------------------------------------------------
## Section 5 – 510(k) Summary
### 1. Submitter
ACME Portable Machines, Inc.
1330 Mountain View Circle, Azusa, California 91702
### 2. Contact Person
Karen Ngai, specialist
### Phone: (626) 610-1888
Email: karen@acmeportable.com
#### Date Prepared ന്
April 22, 2015
#### 4. Trade Name
Quantitative Electrocardiographic Detector (QED 2000)
#### Classification 5.
Class II
Electrocardiograph
21 CFR 870.2340
### 6. Product Code DPS
### 7. Predicate Device(s)
The subject device is equivalent to the following devices:
K113144: "Pagewriter TC 20, 30, 50, 70"; Philips Medical Systems
K110266: "MAC 5500 HD, MAC 3500"; GE Medical Systems Information
Technologies, Inc.
### 8. Device Description
The Quantitative Electrocardiographic Detector (QED2000) is a 12-lead resting electrocardiograph. It is a device for acquiring, displaying, analyzing and storing the 12-lead electrocardiogram.
The device can print the resting ECG report via the external printer including USB printer and network printer. The device has optional removable storage to store resting ECG records. The device also can export the resting ECG record to SD card/shared directory/FTP server as an optional function. An optional USB barcode reader and magnetic card scanner to enter patient information is also available.
#### Intended Use 9.
The intended use of the QED2000 is to record 12-lead ECG signals from patient's heart activity through body surface ECG electrodes. This device can acquire, display, record, analyze, and store these ECG signals from adult patients for review by the user. Analysis of the ECG signals is accomplished with algorithms that provide data presentations, graphical presentations, and measurements. These are presented for review and interpretation by a trained physician or clinician in determining a diagnosis based upon knowledge of the result of physical examination, and other clinical findings.
The QED2000 is intended to be used in hospital and general physician's office by trained healthcare professionals.
### 10. Non-clinical Testing In Support of Substantial Equivalence Determination
Non-clinical tests were conducted to verify that the proposed device meets all design specifications as is substantially equivalent to the predicate device. The test results demonstrated that the proposed device complies with the following standards:
IEC 60601-1:2005 + CORR.1(2006) + CORR.2(2007) +AM1(2012), Medical electrical equipment - Part 1: General requirements for basic safety and essential performance.
EN 60601-1-2:2007+AC:2010, Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility -Requirements and tests.
{4}------------------------------------------------
IEC 60601-2-25:2011, Medical electrical equipment - Part 2-25: Particular requirements for the basic safety and essential performance of electrocardiographs.
IEC 60601-2-27:2011, Medical electrical equipment - Part 2-27: Particular requirements for the safety, including essential performance of electrocardiographic monitoring equipment.
Software Verification Test was performed to verify the software functions against its intended use.
The collective results of the non-clinical testing demonstrate that the QED2000 meets the established specifications and complies with the aforementioned standards.
### 11. Substantially Equivalent (SE) Conclusion
| Characteristic | ACME<br>QED2000 | GE<br>MAC® 5500 HD | Philips<br>PageWriter ® |
|---------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 510(k) Number | | K110266 | K113144 |
| 510(k)<br>Decision Date | | 04/29/2011 | 04/03/2012 |
| Manufacturer | Acme Portable<br>Machine, Inc. | GE Medical Systems<br>Information Technologies,<br>Inc. | Philips Medical Systems |
| Classification | Electrocardiograph | Electrocardiograph | Electrocardiograph |
| Product Code | DPS | DPS | DPS |
| Regulation | 870.2340 | 870.2340 | 870.2340 |
| Indications for<br>Use | The QED2000 is<br>intended to be used to<br>acquire, display,<br>record, analyze, and<br>store 12-lead ECG<br>waveforms from adult<br>patients through body<br>surface ECG<br>electrodes. Using<br>algorithms to generate<br>data presentations,<br>graphical<br>presentations, and<br>measurements for<br>review and<br>interpretation by a<br>trained physician or<br>clinician in determining<br>a diagnosis based<br>upon knowledge of the<br>patient, the result of<br>physical examination,<br>and other relevant<br>clinical findings.<br>The QED2000 is<br>intended to be used in<br>hospital and general<br>physician's office by<br>trained healthcare<br>professionals. The<br>QED2000 is not | MAC 5500 HO: The MAC<br>5500 HD ECG Analysis<br>System is intended to<br>acquire, analyze, display,<br>and record<br>electrocardiographic<br>information from adult<br>and pediatric populations.<br>Basic systems deliver 3;<br>6, 12, or 15 lead ECGs;<br>interpretive analysis,<br>vector loops. and can be<br>upgraded to provide<br>software analysis options<br>such as high resolutions<br>signal averaging of QHS<br>and P wave portions of<br>the electrocardiogram.<br>Transmission and<br>reception of ECG data to<br>and from a central ECG<br>cardiovascular<br>information system is<br>optional. The MAC 5500<br>HD is intended to be used<br>under the direct<br>supervision, of a licensed<br>healthcare practitioner, by<br>trained operators in a<br>hospital or medical<br>professional's facility. | To acquire multi-channel<br>EGG signals from adult<br>and pediatric patients<br>from body surface<br>electrodes and to record,<br>display, analyze and<br>store these EGG signals<br>for review by the user.<br>To be used in healthcare<br>facilities by trained<br>healthcare<br>professionals. Analysis<br>of the EGG signals is<br>accomplished with<br>algorithms accomplished<br>with algorithms that that<br>provide measurements,<br>data presentations,<br>graphical presentations<br>and interpretations for<br>review by the user.<br>The interpreted EGG<br>with measurements and<br>interpretive statements<br>is offered to the clinician<br>on an advisory basis<br>only. It is to be used in<br>conjunction with<br>conjunction with the<br>clinician's knowledge of<br>the patient, the results of |
| | intended to be used as<br>a cardiac monitor. | | the physical<br>examination, the EGG<br>tracings, and other<br>clinical findings. A<br>qualified physician is<br>asked to over read and<br>validate (or change)<br>computer generated<br>ECG interpretation. |
| Data<br>Acquisition:<br>Sampling Rate | 3000 sample/s | 4000 sample/s | 2000 sample/s |
| ECG Leads | 12 leads | 12 leads | 12 leads |
| Data Entry<br>Interface | Touch Display | Keyboard | Keyboard |
| Gain Settings | 5, 10, 20 mm/mV | 2.5, 5, 10, 20 mm/mV | 2.5, 5, 10, 20 mm/mV |
| Time base<br>Settings | 25, 50 mm/s | 5, 25, 50 mm/s | 25, 50 mm/s |
| Filter<br>Frequency | 0.067 Hz<br>40,100,150 Hz | 0.04 Hz<br>40,100,150 Hz | 0.05 Hz<br>40,100,150 Hz |
| Algorithms | ACME 12-lead ECG<br>measurement<br>algorithm | Marquette 12SL ECG<br>analysis program | Phillips 12-lead ECG<br>algorithm |
| Display Type | Color TFT | Color TFT | Color TFT |
| Display Pixel<br>Resolution | 1920 x 1080 | 800 x 480 | 640 x 480 |
| Electrical<br>Safety | Comply with IEC<br>60601-1 | Same | Same |
| EMC | Comply with IEC<br>60601-1-2 | Same | Same |
| Particular<br>requirements | Comply with IEC<br>60601-2-25 | Same | Same |
Table 1 Comparison with Predicate Devices
{5}------------------------------------------------
### Note:
- 1. The proposed device provides different sampling rate with those of the predicate devices. This difference will not affect the safety and effectiveness of the proposed devices.
- 2. The proposed device provides a bandwidth slightly narrower than those of the predicate devices. This difference will not affect the safety and effectiveness of the proposed devices.
- The proposed device provides different gain and time base with those of the predicate 3. devices. This difference will not affect the safety and effectiveness of the proposed devices.
- The proposed device provides higher display resolution than those of the predicate devices. 4. This difference will not affect the safety and effectiveness of the proposed devices.
{6}------------------------------------------------
| Characteristic | ACME<br>QED2000 | GE<br>MAC® 5500HD | Philips<br>PageWriter ® |
|---------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Algorithms<br>Name | ACME 12-lead ECG<br>measurement algorithm | Marquette* 12SL* ECG<br>Analysis Program | Phillips 12-lead Algorithm |
| Analyze Data<br>Type | 12 leads 10 seconds<br>unfiltered ECG data with<br>1000 sampling rate | 12 leads 10 seconds<br>unfiltered ECG data with<br>500 sampling rate | 12 leads 10 seconds<br>unfiltered ECG data with<br>500 sampling rate |
| Measurement<br>parameters | All 12 leads P, QRS, T<br>amplitudes and intervals.<br>Global values with Heart<br>rate, P duration, PR<br>interval, QRS duration,<br>QT interval, QTc and P,<br>QRS, T axes. | All 12 leads P, QRS, T<br>amplitudes and<br>intervals. Global values<br>with Heart rate, P<br>duration, PR interval,<br>QRS duration, QT<br>interval, QTc and P,<br>QRS, T axes. | All 12 leads P, QRS, T<br>amplitudes and intervals.<br>Global values with Heart<br>rate, P duration, PR interval,<br>QRS duration, QT interval,<br>QTc and P, QRS, axes. |
| Table 2 Algorithms Comparison with Predicate Devices | | |
|------------------------------------------------------|--|--|
| | | |
| | Table 3 Comparison with Predicate Devices | | | |
|--|--------------------------------------------|--|--|--|
|--|--------------------------------------------|--|--|--|
| IEC calibration ECGs | | | | | | | | |
|-------------------------------|----------------------------|-----------------------|-----------------|-----------------------|---------------|-----------------------|-----------------|-----------------------|
| | IEC 60601-2-25<br>Standard | | ACME<br>QED2000 | | GE<br>MAC5500 | | Philips<br>TC30 | |
| | Mean | Standard<br>Deviation | Mean | Standard<br>Deviation | Mean | Standard<br>Deviation | Mean | Standard<br>Deviation |
| PR-interval<br>(ms) | ±10 | 8 | 4.5 | 5.4 | -6.8 | 1.7 | -4.9 | 2.8 |
| QRS-duration<br>(ms) | ±6 | 5 | -0.1 | 2.2 | 1.4 | 1.5 | 2.5 | 3.0 |
| QT-Interval<br>(ms) | ±12 | 10 | -0.8 | 1.1 | -0.2 | 5.1 | 2.2 | 3.2 |
| Biological ECGs: CSE Database | | | | | | | | |
| | Standard | | ACME<br>QED2000 | | GE<br>MAC5500 | | Philips<br>TC30 | |
| | Mean | Standard<br>Deviation | Mean | Standard<br>Deviation | Mean | Standard<br>Deviation | Mean | Standard<br>Deviation |
| PR-interval<br>(ms) | ±10 | 10 | 0.7 | 7.4 | -4.2 | 4.5 | 2.9 | 6.1 |
| QRS-duration<br>(ms) | ±10 | 10 | -0.3 | 8.3 | -5.6 | 5.2 | -3.2 | 3.8 |
| QT-Interval<br>(ms) | ±25 | 30 | 4.9 | 11.5 | 0.5 | 8.3 | 0.9 | 7.9 |
### 12. Conclusion
Based on the performance testing and comparison with predicate devices, the results of the nonclinical testing, technical and functional characteristics demonstrate that the QED 2000 is substantially equivalent to the predicate devices and as safe as effective as the predicates.
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.