K120833 · Ge Medical Systems, LLC · JAK · Jun 12, 2012 · Radiology
Device Facts
Record ID
K120833
Device Name
DISCOVERY CT750 HD
Applicant
Ge Medical Systems, LLC
Product Code
JAK · Radiology
Decision Date
Jun 12, 2012
Decision
SESE
Submission Type
Special
Regulation
21 CFR 892.1750
Device Class
Class 2
Attributes
Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K120833 · Jun 12, 2012
DISCOVERY CT750 HD
Ge Medical Systems, LLC
In-vivo patient scans (urinary tract stones)
Data from in-vivo patient scans were used to evaluate the performance of the GSI feature in characterizing urinary tract stones (uric acid vs. non-uric acid) compared to ex-vivo gold standard analysis.
Independent clinical study of GSI for urinary tract stone characterization; Retrospective/Observational analysis of patient scans
11 patients with urinary tract stones; Sample Size: 11 patients (subset of 59 total stones including phantom)
Ex-vivo analysis using polarized microscopy with infrared spectrophotometry
Sensitivity and accuracy in characterizing uric acid versus non-uric acid stones
Indications for Use
The Computed Tomography X-ray system is intended to produce cross-sectional images of the body by computer reconstruction of X-ray transmission data taken at different angles and planes, including Axial, Cine, Helical (Volumetric), Cardiac, Spectral, and Gated acquisitions for all ages. These images may be obtained either with or without contrast. This device may include signal analysis and display equipment, patient and equipment supports, components and accessories. This device may include data and image processing to produce images in a variety of trans-axial and reformatted planes. Further the images can be post processed to produce additional imaging planes or analysis results. The system is indicated for head, whole body, cardiac and vascular X-ray Computed Tomography applications for both single kV acquisitions and with the fast kV switching spectral imaging option (GSI). The device output is a valuable medical tool for the diagnosis of disease, trauma, or abnormality and for planning, guiding, and monitoring therapy. If the spectral imaging option is included on the system, the system can acquire CT images using different kV levels of the same anatomical region of a patient in a single rotation from a single source. The differences in the energy dependence of the attenuation coefficient of the different materials provide information about the chemical composition of body materials. This approach enables images to be generated at energies selected from the available spectrum to visualize and analyze information about anatomical and pathological structures. GSI provides information of the chemical composition of renal calculi by calculation and graphical display of the spectrum of effective atomic number. GSI Kidney stone characterization provides additional information to aid in the characterization of uric acid versus non-uric acid stones. It is intended to be used as an adjunct to current standard methods for evaluating stone etiology and composition.
Device Story
Discovery CT750 HD is a whole-body CT scanner comprising gantry, table, console, and computer. System acquires X-ray transmission data at multiple angles/planes; reconstructs cross-sectional images. Spectral imaging (GSI) option uses fast kV switching to acquire data at different energy levels in a single rotation; enables material decomposition and effective atomic number calculation. Used in clinical settings by trained professionals. Output includes standard CT images, monochromatic images, and material density maps. GSI feature aids in characterizing renal calculi composition (uric acid vs. non-uric acid). Clinicians use outputs to diagnose disease, trauma, or abnormalities and to plan/monitor therapy. Benefits include enhanced tissue visualization and improved characterization of specific pathologies like kidney stones.
Clinical Evidence
Clinical evaluation included 29 subjects for cardiac imaging, assessed by radiologists for diagnostic quality. Additionally, a study of 59 renal stones (20 phantom, 39 in-vivo) compared GSI material density (MD) algorithm results against polarized microscopy/infrared spectrophotometry gold standard. MD images showed 100% sensitivity/accuracy for uric acid vs. non-uric acid stone characterization. HU measurements alone showed 71% sensitivity and 69% accuracy.
Technological Characteristics
Whole-body CT scanner; X-ray source; fast kV switching for spectral imaging (GSI). Compliant with UL 60601-1, IEC 60601-1, 21CFR Subchapter J, and NEMA XR-25. Materials equivalent to existing marketed products. Software-based image reconstruction and material decomposition processing.
Indications for Use
Indicated for head, whole body, cardiac, and vascular CT imaging in patients of all ages. Used for diagnosis of disease, trauma, or abnormality and for therapy planning/monitoring. Spectral imaging (GSI) option indicated as an adjunct for characterizing renal calculi (uric acid vs. non-uric acid).
Regulatory Classification
Identification
A computed tomography x-ray system is a diagnostic x-ray system intended to produce cross-sectional images of the body by computer reconstruction of x-ray transmission data from the same axial plane taken at different angles. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
{0}------------------------------------------------
JUN 1 2 2012
Image /page/0/Picture/1 description: The image shows a sequence of handwritten digits and letters. The sequence starts with the letters 'K1', followed by the numbers '20833'. The handwriting style is somewhat cursive, with some connections between the characters.
GE Medical Systems, LLC (GE Healthcare)
3000 N. Grandview Blvd. W-1140 Waukesha, WI 53188
# 510(k) SUMMARY OF SAFETY AND EFFECTIVENESS
This 510(k) summary of Safety and Effectiveness information is submitted in accordance with the requirement of 21 CFR Part 807.87(h).
Date:
June 7, 2012
Submitter:
Primary Contact:
3000 N. Grandview Blvd., W-1140 Waukesha, WI 53188
GE Medical Systems, LLC (GE Healthcare)
John Jaeckle Chief Regulatory Affairs Strategist GE Medical Systems, LLC Tel: 262-424-9547 e-mail: john.jaeckle@ge.com
#### Secondary Contact:
Helen Peng Regulatory Affairs Leader, RAC GE Medical Systems, LLC Tel: 262-548-5091 e-mail: hong.peng@med.ge.com
# PRODUCT IDENTIFICATION
Device Trade Name:
Common/Usual Name:
Classification Name:
Product Code:
Manufacturer / Design Location:
Manufacturing Location(s):
Distributor:
Discovery CT750 HD
Computed Tomography X-ray System
Computed Tomography X-ray System per 21CFR892.1750
90-JAK
GE Medical Systems, LLC (GE Healthcare) 3000 N. Grandview Blvd. Waukesha, WI 53188
GE Medical Systems, LLC (GE Healthcare) 3000 N. Grandview Blvd. Waukesha, WI 53188
GE Medical Systems, LLC (GE Healthcare) 3000 N. Grandview Blvd.
{1}------------------------------------------------
3000 N. Grandview Blvd. W-1140 Waukesha, WI 53188
Waukesha, WI 53188
# Marketed Devices:
The Discovery CT750 HD with GSI Cardiac Option is of comparable type and substantially equivalent to GE Medical Systems' currently marketed Computed Tomography X-ray Systems that comply with the same standards. In addition, the system has similar intended use as other GE Computed Tomography X-ray Systems and the same intended use as the unmodified device. However the modified device's indications for use have been revised to match the system capabilities as substantiated in the engineering and clinical testing provided. The system is labeled as the Discovery CT750 HD.
### Predicate (unmodified) Device(s):
K081105 - Discovery CT750 HD
#### DEVICE DESCRIPTION
The Discovery CT750 HD CT Scanner System with GSI Cardiac Option is composed of a gantry, patient table, operator console, computer, and PDU and includes image acquisition hardware, image acquisition and reconstruction software, associated accessories and connections/interfaces to accessories.
The Discovery CT750 HD CT Scanner System with GSI Cardiac Option is intended to be a head and whole body CT system incorporating the same basic fundamental operating principles and the same indications for use as the predicate device. Materials and construction are equivalent to our existing marketed products, which are compliant with UL 60601-1, IEC 60601-1 and associated collateral and particular standards, 21CFR Subchapter J, and NEMA XR-25. It has been developed under the same GE quality system and has successfully completed all design controls, including risk management, verification, and validation.
#### Indications for Use:
The Computed Tomography X-ray system is intended to produce cross-sectional images of the body by computer reconstruction of X-ray transmission data taken at different angles and planes, including Axial, Cine, Helical (Volumetric), Cardiac, Spectral, and Gated acquisitions for all ages. These images may be obtained either with or without contrast. This device may include signal analysis and display equipment, patient and equipment supports, components and accessories.
This device may include data and image processing to produce images in a variety of transaxial and reformatted planes. Further the images can be post processed to produce additional imaging planes or analysis results.
The system is indicated for head, whole body, cardiac and vascular X-ray Computed Tomography applications for both single kV acquisitions and with the fast kV switching spectral imaging option (GSI).
{2}------------------------------------------------
3000 N, Grandview Blvd. W-1140 Waukesha, Wi 53188
The device output is a valuable medical tool for the diagnosis of disease, trauma, or abnormality and for planning, guiding, and monitoring therapy.
If the spectral imaging option is included on the system can acquire CT images using different kV levels of the same anatomical region of a patient in a single rotation from a single source. The differences in the energy dependence of the attenuation coefficient of the different materials provide information about the chemical composition of body materials. This approach enables images to be generated at energies selected from the available spectrum to visualize and analyze information about anatomical and pathological structures.
GSI provides information of the chemical composition of renal calculation and graphical display of the spectrum of effective atomic number. GSI Kidney stone characterization provides additional information to aid in the characterization of uric acid versus non-uric acid stones. It is intended to be used as an adjunct to current standard methods for evaluating stone etiology and composition.
### Technology:
The Discovery CT750 HD with GSI Cardiac Option employs the same fundamental scientific technology as the unmodified device.
### Adverse Effects on Health:
Potential electrical, mechanical, and radiation hazards are identified in risk management including hazard analysis and controlled by:
- · System verification and validation to ensure performance to specifications, Federal Regulations, and user requirements.
- · Adherence and certification to industry and international standards. (UL/CSA and IEC60601-1 Ed.3 and associated collateral and particular standards for CT).
- · Compliance to applicable CDRH 21CFR subchapter J requirements.
- · Compliance to NEMA XR-25
The device is designed and manufactured under the Quality System Regulations of 21CFR 820.
### Determination of Substantial Equivalence:
The Discovery CT750 HD with GSI Cardiac Option has completed testing and is in compliance with IEC 60601-1 Ed. 3 and its associated collateral and particular standards, 21CFR Subchapter J, and NEMA XR-25. The device has successfully completed all testing per our quality system as well as comparison testing to the unmodified device. It was designed and is manufactured under the Quality System Regulations of 21CFR 820 and ISO 13485. The following quality assurance measures were applied to the development of the system:
- · Risk Analysis
- · Required Reviews
- · Design Reviews
- Testing on unit level (Module verification)
{3}------------------------------------------------
3000 N. Grandview Blvd. W-1140 Waukesha, WI 53188
- · Integration testing (System verification)
- Performance testing (Verification)
- · Safety testing (Verification)
- Simulated use testing (Validation) .
### Summary of Additional Testing
In addition to the verification and validation testing successfully completed as required by GE Healthcare's quality system, additional engineering and clinical performance testing was performed to provide the requisite data to substantiate performance claims, revised indications, safety and efficacy, and ultimately substantial equivalence.
#### Engineering Testing
The bench testing used two custom designed phantoms to simulate the cardiac imaging tasks. The test scan techniques used were selected to align with clinically used protocols for cardiac scanning. Statistical analysis of the results demonstrated the significance of the findings.
For coronary plaque modeling the material hydroxyapatite (HAP) was selected because of publications demonstrating that it closely matches the composition of calcified plaques in coronary arteries. To evaluate coronary lumen and plaque visualization, dilute lodine-filled vessels contained in an in-house custom phantom with HAP inserts was used to demonstrate the enhanced assessment capabilities when using GSI cardiac including its material separation capability.
Additionally, three actual clinical cases with an lodine and Calcium MD images and wide range of monochromatic images were shown for comparison.
Testing was also performed to demonstrate the ability for the GSI acquisition to reduce beam hardening artifact in a simulated cardiac environment, and thereby improve CT number accuracy which is important for accurate perfusion calculations. For this test another custom cardiac phantom was utilized. This polyurethane phantom was designed to mimic two heart chambers, an aorta, and a small "myocardial ischemic" defect. The chambers and aorta were filled with water and/or varving concentrations of iodine.
#### Clinical Testing
Sample clinical images were obtained from 29 subjects at 3 sites using the GSI cardiac option under IRB and informed consent. Two radiologists at each site independently assessed, using a Likert scale, the diagnostic quality of the images and additional information from of the output of the GSI cardiac feature (monochromatic + material density images).
The patient population consisted of any patient with known or suspected abnormality involving the heart scheduled for a physician ordered CT exam or who recently had a routine CT scan or cardiac cath procedure within the past 30 days. This patient data was representative of a wide range of heart rates and patient sizes.
{4}------------------------------------------------
3000 N. Grandview Blvd. W-1140 Waukesha, WI 53188
The results demonstrated that the output of the GSI cardiac feature (monochromatic + material density images) provide diagnostic images and include additional information related to material composition obtained as a result of GSI scanning.
Additionally, data from an independent clinical study using GSI to characterize urinary tract stones in a simulated abdominal phantom and with in-vivo patient scans, was submitted.
Twenty stones of pure crystalline composition [Uric acid (UA), struvite, cystine, and calcium oxalate monohydrate (COM)] were assessed in a phantom as well as 11 patients with urinary tract stones were evaluated. UA and non-UA stones were defined using a two-material decomposition (MD-lodine/Water) algorithm. The stone HU was also studied to determine its performance in predicting the composition. Ex-vivo analysis of the stone using polarized microscopy with infrared spectrophotometry served as the gold standard.
Of the 59 verified stones (phantom=20 and patients=39, mean size- 6 mm) there were 16 UA and 43 non-UA type. The material density (MD) images were 100% sensitive and accurate in characterizing UA versus non-UA stones. In patients, Effective Z identified 83% of calcium stones (n=24) and in stones of mixed type it accurately identified the dominant composition. The HU measurements alone were 71% sensitive and 69% accurate in characterizing the UA stones. The results demonstrate that GSI can provide accurate adjunct information that may predict UA and from non-UA stone composition in-vitro and invivo.
#### Substantial Equivalence Conclusion:
Based on the conformance to standards, development under our quality system, and the engineering and clinical testing provided. GE Medical Systems believes that the Discovery CT750 HD with GSI Cardiac Option is as safe and effective, and performs in a substantially equivalent manner to the predicate device Discovery CT750 HD (K081105).
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo features a stylized eagle with three stripes representing the three levels of government: federal, state, and local. The eagle is enclosed in a circle with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" around the perimeter.
# DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
JUN 1 2 2012
Mr. John Jaeckle Chief Regulatory Affairs Strategist GE Medical Systems, LLC 3000 N. Grandview Blvd., W - 1140 WAUKESHA WI 53188
Re: K120833
Trade/Device Name: Discovery CT750 HD Regulation Number: 21 CFR 892.1750 Regulation Name: Computed tomography x-ray system Regulatory Class: II Product Code: JAK Dated: March 16, 2012 Received: March 19, 2012
#### Dear Mr. Jaeckle:
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 class II (Special Controls), it may be subject to such additional controls. Existing major regulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. 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 Parts 801 and 809); medical device reporting (reporting of
{6}------------------------------------------------
medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). 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 Parts 801 and 809), please contact the Office of In Vitro Diagnostic Device Evaluation and Safety at (301) 796-5450. 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 Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely Yours,
Janine M. Morris
Acting Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
{7}------------------------------------------------
# Indications for Use
# 510(k) Number (if known): K120833
# Device Name: Discovery CT750 HD
## Indications for Use:
The Computed Tomography X-ray system is intended to produce cross-sectional images of the body by computer reconstruction of X-ray transmission data taken at different angles and planes, including Axial, Cine, Helical (Volumetric), Cardiac, Spectral, and Gated acquisitions for all ages. These images may be obtained either with or without contrast. This device may include signal analysis and display equipment, patient and equipment supports, components and accessories.
This device may include data and image processing to produce images in a variety of trans-axial and reformatted planes. Further the images can be post processed to produce additional imaging planes or analysis results.
The system is indicated for head, whole body, cardiac and vascular X-ray Computed Tomography applications for both single kV acquisitions and with the fast KV switching spectral imaging option (GSI).
The device output is a valuable medical tool for the diagnosis of disease, trauma, or abnormality and for planning, guiding, and monitoring therapy.
If the spectral imaging option is included on the system, the system can acquire CT images using different kV levels of the same anatomical region of a patient in a single rotation from a single source. The differences in the energy dependence of the attenuation coefficient of the different materials provide information about the chemical composition of body materials. This approach enables images to be generated at energies selected from the available spectrum to visualize and analyze information about anatomical and pathological structures.
GSI provides information of the chemical composition of renal calculi by calculation and graphical display of the spectrum of effective atomic number. GSI Kidney stone characterization provides additional information to aid in the characterization of uric acid versus non-uric acid stones. It is intended to be used as an adjunct to current standard methods for evaluating stone etiology and composition.
Over-The-Counter Use Prescription Use X AND/OR (Part 21 CFR 801 Subpart D) (21 CFR 801 Subpart C) (PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of In Vitro Diagnostic Devices (OIVD)
Division Sign-Off Office of In Vitro Diagnostic Device Evaluation and Safety
K120833
510(k)
Page 1 of
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.