The ScanView System is an automated scanning microscope and image analysis system. It is intended for in vitro diagnostic use as an aiding tool to the pathologist or cytogeneticist in the detection, classification and enumeration of cells of interest based on color, intensity, size, pattern, and shape. The ScanView is indicated as an accessory to the following FDA cleared/approved devices to detect the following cell types: 1. CEP® X Spectrum Orange™/CEP® Y Spectrum Green™ DNA Probe Kit and is limited to the analysis of CEP XY probes via high magnification capture and analysis of interphase nuclei. CEP XY is indicated for use to assess the effectiveness of bone marrow transplantation in opposite-sex transplants. 2. Human breast cancer containing the HER-2/neu gene labeled in Red and the centromere of chromosome 17 labeled in Green via fluorescence in situ hybridization (FISH) in interphase nuclei from formalin-fixed, paraffin embedded human breast cancer tissue specimens with Vysis® PathVysion™ HER-2 DNA Probe kit. Results from the PathVysion™ Kit are intended for use as an adjunct to existing clinical and pathologic information used as prognostic factors in stage II, node-positive breast cancer patients. The PathVysion™ kit is further indicated as an aid to predict disease-free and overall survival in patients with stage II, node positive breast cancer, treated with adjuvant cyclophosphamide, doxorubicin, and 5-fluorouracil (CAF) chemotherapy. 3. Cells in urine specimens, stained by fluorescence in situ hybridization (FISH) using Vysis UroVysion™ Bladder Cancer Kit to detect aneuploidy for chromosomes 3, 7, 17, and loss of the 9p21 locus, from persons with hematuria suspected of having bladder cancer. The results are intended for use, in conjunction with and not in lieu of current standard diagnostic procedures, as an aid for initial diagnosis of bladder carcinoma in patients with hematuria and subsequent monitoring for tumor recurrence in patients previously diagnosed with bladder cancer. The ScanView System is to be used as an adjunctive automated enumeration tool in conjunction with manual visualization.
Device Story
System comprises motorized microscope, multi-slide stage, camera, and workstation. Acquires brightfield and fluorescent images of cells; performs automated Z-axis motion and X-Y stage movement. Enables identification, classification, and enumeration of cells based on color, intensity, size, pattern, and shape. Used by pathologists/cytogeneticists in clinical settings as an adjunctive tool to manual visualization. Enhances, retrieves, and prints images to assist in clinical decision-making for FISH-based diagnostic tests (e.g., bladder cancer, breast cancer, bone marrow transplant assessment).
Clinical Evidence
Bench testing only. Performance test data demonstrate the device meets required specifications for automated scanning and image analysis.
Technological Characteristics
Integrated digital imaging system: motorized microscope, multi-slide stage, CCD camera, workstation. Detection method: Fluorescence in situ hybridization (FISH). Resolution: 1280 x 1024. Software-controlled image acquisition, enhancement, and automated cell counting/classification. Operates via brightfield and fluorescent illumination with motorized filter turret. Standalone workstation architecture.
Indications for Use
Indicated for use by pathologists/cytogeneticists as an aid in detecting, classifying, and enumerating cells in urine specimens (for bladder cancer/recurrence monitoring), bone marrow (post-transplant assessment), and breast cancer tissue (HER-2/neu status).
Regulatory Classification
Identification
An automated FISH enumeration system is a device that consists of an automated scanning microscope, image analysis system, and customized software applications for FISH assays. This device is intended for in vitro diagnostic use with FISH assays as an aid in the detection, counting and classification of cells based on recognition of cellular color, size, and shape, and in the detection and enumeration of FISH signals in interphase nuclei of formalin-fixed, paraffin-embedded human tissue specimens.
Special Controls
The device is classified as Class II under regulation 21 CFR 866.4700 with special controls. The special control guidance document " Class II Special Controls Guidance Document: Automated Fluorescence in situ Hybridization (FISH) Enumeration Systems" is available at www.fda.gov/cdrh/oivd/guidance/1550.pdf.
*Classification.* Class II (special controls). The special control is FDA's guidance document entitled “Class II Special Controls Guidance Document: Automated Fluorescence*in situ* Hybridization (FISH) Enumeration Systems.” See § 866.1(e) for the availability of this guidance document.
Predicate Devices
ScanView (k101291)
Duet System (k050840)
Submission Summary (Full Text)
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k110345
B. Purpose for Submission:
Modification of the intended use of ScanView system to include the detection and enumeration of the cells in urine specimens for chromosomes 3, 7, 17 and 9p21 locus stained by fluorescence *in situ* hybridization (FISH) with Vysis UroVysion™ Bladder Cancer Kit.
C. Manufacturer and Instrument Name:
Applied Spectral Imaging Ltd., ScanView System
D. Type of Test or Tests Performed:
Automated FISH detection and enumeration of the cells for chromosomes 3, 7, 17, and 9p21 locus in urine specimens from subjects with transitional cell carcinoma of the bladder.
E. System Descriptions:
1. Device Description:
The ScanView System is an integrated digital imaging system constructed of an external microscope, motorized multi slide stage, camera, and a workstation. It is designed to acquire images of cells and enable identification and examination of cells of interest. Pathologists can view and scan cells and record the image, using both bright field and fluorescent illumination. The acquired images can be enhanced, archived, retrieved and printed. The automated microscope enables Z motion of the slide and the motorized stage enables its X-Y motions. The microscope also includes motorized filter turret containing fluorescence filters.
2. Principles of Operation:
The ScanView System is a software controlled system that includes features such as: acquisition of images, views, editing, relocation, enhancement capabilities, automatic/manual counting, classification and printing. The ScanView System can also scan each field of view with several fluorescent filters, each in multiple focal planes, generating and displaying a combined image. The ScanView System works with fluorescence *in situ* hybridization (FISH) on urine samples stained by FISH using the Vysis UroVysion™ Bladder Cancer Kit. The system automatically captures cells from predefined regions and classifies the cells according to predefined cell categories. After the scanning, each cell is presented in a gallery and the pathologist can approve, modify or reject the call for each cell. The result is updated accordingly, saved in the database and optionally printed out in a report.
3. Modes of Operation:
Semi-automated; manual capture of selected regions with computer-assisted interpretation
4. Specimen Identification:
Manual keyboard entry into the Case Data Manager
5. Specimen Sampling and Handling:
{1}
Standardized cell preparations of urine specimens are applied to microscope slides and then hybridized with the Vysis UroVysion™ Bladder Cancer Kit.
6. Calibration:
Calibration is prepared at the time of installation.
7. Quality Control:
The accuracy of the system depends on the laboratory following the quality control instructions as recommended by the manufacture of the Vysis UroVysion™ Bladder Cancer Kit. The control slides are tested on the ScanView System according to the same procedure as patient slides. It is the responsibility of the pathologist to assure that the control slides meet quality acceptance criteria.
8. Software:
FDA has reviewed applicant’s Hazard Analysis and Software Development processes for this line of product types:
Yes ☐ X ☑ or No ☐
F. Regulatory Information:
1. Regulation section:
21 CFR §866.4700 – Automated fluorescence *in situ* hybridization (FISH) enumeration systems
2. Classification:
Class II
3. Product code:
NTH – System, Automated scanning microscope and image analysis for fluorescence *in situ* hybridization (FISH) assays
4. Panel:
Immunology (82)
G. Intended Use:
1. Indication(s) for Use:
The ScanView System is an automated scanning microscope and image analysis system. It is intended for *in vitro* diagnostic use as an aiding tool to the pathologist or cytogeneticist in the detection, classification and enumeration of cells of interest based on color, intensity, size, pattern, and shape. The ScanView is indicated as an accessory to the following FDA cleared/approved devices to detect the following cell types:
1. CEP® X Spectrum Orange™/CEP® Y Spectrum Green™ DNA Probe Kit and is limited to the analysis of CEP XY probes via high magnification capture and analysis of interphase nuclei. CEP XY is indicated for use to assess the effectiveness of bone marrow transplantation in opposite-sex transplants.
2. Human breast cancer containing the HER-2/neu gene labeled in Red and the centromere of chromosome 17 labeled in Green via fluorescence *in situ* hybridization (FISH) in interphase nuclei from formalin-fixed, paraffin embedded human breast cancer tissue specimens with Vysis® PathVysion™ HER-2 DNA Probe kit. Results from the PathVysion™ Kit are intended for use as an adjunct to existing clinical and pathologic information used as prognostic factors in stage II, node-positive breast cancer patients. The
2
{2}
PathVysion™ kit is further indicated as an aid to predict disease-free and overall survival in patients with stage II, node positive breast cancer, treated with adjuvant cyclophosphamide, doxorubicin, and 5-fluorouracil (CAF) chemotherapy.
3. Cells in urine specimens, stained by fluorescence in situ hybridization (FISH) using Vysis UroVysion™ Bladder Cancer Kit to detect aneuploidy for chromosomes 3, 7, 17, and loss of the 9p21 locus, from persons with hematuria suspected of having bladder cancer. The results are intended for use, in conjunction with and not in lieu of current standard diagnostic procedures, as an aid for initial diagnosis of bladder carcinoma in patients with hematuria and subsequent monitoring for tumor recurrence in patients previously diagnosed with bladder cancer.
The ScanView System is to be used as an adjunctive automated enumeration tool in conjunction with manual visualization.
2. Special Conditions for Use Statement(s):
For Prescription Use Only.
H. Substantial Equivalence Information:
1. Predicate Device Name(s) and 510(k) numbers:
Duet™ System, k050840
ScanView System, k101291
2. Comparison with Predicate Device:
| Similarities and Differences | | | |
| --- | --- | --- | --- |
| Item | Device ScanView System | Predicate | |
| | | Duet™ System k050840 | ScanView System k101291 |
| Indications for Use | To detect interphase nuclei CEP XY for use to assess the effectiveness of bone marrow transplantation in opposite-sex transplants using CEP® X Spectrum Orange™/CEP® Y Spectrum Green™ DNA Probe kit. | Not applicable | Same |
| Indications for Use | To detect human breast cancer containing the HER-2/neu gene labeled in Red and the centromere of chromosome 17 labeled in Green via fluorescence in situ hybridization (FISH) in interphase nuclei from formalin-fixed, paraffin embedded human breast | Not applicable | Same |
{3}
| Similarities and Differences | | | |
| --- | --- | --- | --- |
| Item | Device
ScanView System | Predicate | |
| | | Duet™ System
k050840 | ScanView System
k101291 |
| | cancer tissue specimens with Vysis® PathVysion™ HER-2 DNA Probe kit | | |
| Indications for Use | To detect aneuploidy for chromosomes 3, 7, 17, and loss of the 9p21 locus via fluorescence *in situ* hybridization (FISH) using Vysis UroVysion™ Bladder Cancer Kit in urine specimens from persons with hematuria suspected of having bladder cancer or from patients previously diagnosed with bladder cancer. | Same | Not applicable |
| Probe Kit | Vysis® PathVysion™ HER-2 DNA Probe kit | Not applicable | Same |
| Probe Kit | CEP® X Spectrum Orange™/CEP® Y Spectrum Green™ DNA Probe kit | Not applicable | Same |
| Probe Kit | Vysis UroVysion™ Bladder Cancer Kit | Same | Not applicable |
| Device Components | Automated microscope, PC, keyboard and control panel, color monitor, CCD Camera, and motorized stage | Same | Same |
| Spatial resolution | 1280 x 1024 | Not known | Same |
| Detection Method | FISH | Same | Same |
I. Special Control/Guidance Document Referenced (if applicable):
Class II Special Controls Guidance Document: Automated Fluorescence *in situ* Hybridization (FISH) Enumeration Systems, 23 May 2005.
Guidance for Industry and FDA Staff: “Statistical Guidance on Reporting Results from Studies Evaluating Diagnostic Tests”; March 2007.
Guidance for the Content of Premarket Submission for Software Contained in Medical Device, CDRH, May 2005.
J. Performance Characteristics:
1. Analytical Performance:
a. Accuracy:
{4}
A method comparison study was conducted at four clinical sites: 35 slides from site 1, 129 slides from site 2, 11 slides from site 3 and 20 slides from site 4 for a total of 195 slides. Measurements of the 195 slides using results obtained from the ScanView System were compared to the manual method.
The manual evaluation through the microscope eyepieces was performed in accordance with the instructions stated in the Vysis UroVysion™ Bladder Cancer Kit protocol. For each slide, the first 25 morphologically abnormal cells were analyzed. If ≥4 of the 25 cells were observed with gains for 2 or more chromosomes (3, 7 or 17) in the same cell, or >12 of the 25 cells were detected with zero 9p21 signals, the analysis was stopped and the case was considered positive. If no positive cell in the first 25 cells was detected, the analysis continued until 4 cells with multiple chromosomes were detected, or 12 cells with zero 9p21 signals, or until the whole slide had been analyzed.
For ScanView System, each slide was scanned using automatic scan method on hybridization region. The system scanned slide, detected the cells, reported the counts of the red (CEP 3), green (CEP 7), aqua (CEP 17) and gold (9p21) signals for each cell and classified the cells to normal and abnormal classes. After scanning, an image gallery of the analyzed cells along with their signal count and the relevant statistic was presented to the pathologist who would review the resultant cells and make decision on reject or modify the classification of each cell. The results interpretation criteria used for manual method according to instruction of UroVysion™ Bladder Cancer Kit protocol was followed for the ScanView Bladder FISH System to determine the positive/negative result for each sample.
The results of comparison study by evaluating 195 slides with the ScanView Bladder FISH System and with the manual method are summarized below:
| | Manual Method | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| ScanView Method | Positive | 41 | 0 | 41 |
| | Negative | 1 | 153 | 154 |
| | Total | 42 | 153 | 195 |
Positive Agreement: 97.6% (95% CI: 87.7% - 99.6%)
Negative Agreement: 100.0% (95% CI: 97.6% - 100.0%)
Overall Agreement: 99.5% (95% CI: 97.2% - 99.9%)
b. Precision/Reproducibility:
A total of six (6) patient slides stained with UroVysion™ Bladder Cancer Kit were tested to examine the precision and reproducibility of the performance of the automatic system. The slides were scanned and reviewed according to ScanView operating instructions. The slides were selected to cover the range
{5}
of the intended use and include three positive slides (two positives near the cutoffs), and three negative slides. Each slide was scanned and examined for three runs per day for three different days at three different locations with different systems and different operators. The results of repeatability and reproducibility of within run/within instrument, between days and between instruments (systems) based on cell classification are presented below:
| Slide | Cells (manual) | Within Run/Day | | | Between Days | | | Between Systems | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | Mean | Std | %CV | Mean | Std | %CV | Mean | Std | %CV |
| 1 | Normal | 66 | 58.3 | 8.6 | 14.8 | 68.0 | 10.2 | 14.9 | 77.0 | 4.4 | 6.7 |
| | Abnormal | 7 | 7.7 | 1.2 | 15.1 | 8.3 | 2.1 | 25.0 | 7.7 | 1.5 | 19.9 |
| 2 | Normal | 45 | 52.7 | 3.5 | 6.7 | 52.0 | 3.6 | 6.9 | 51.3 | 7.2 | 14.1 |
| | Abnormal | 15 | 15.7 | 1.5 | 9.8 | 16.0 | 1.0 | 6.3 | 17.0 | 1.0 | 5.9 |
| 3 | Normal | 116 | 127.0 | 15.9 | 12.5 | 132.0 | 10.2 | 7.7 | 127.7 | 5.9 | 4.6 |
| | Abnormal | 18 | 19.0 | 2.6 | 13.9 | 17.7 | 3.1 | 17.3 | 16.3 | 0.6 | 3.5 |
| 4 | Normal | 113 | 141.3 | 10.1 | 7.0 | 133.0 | 7.0 | 5.3 | 142.0 | 22.1 | 15.5 |
| | Abnormal | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5 | Normal | 62 | 78.0 | 11.5 | 14.8 | 76.0 | 7.0 | 9.2 | 75.7 | 3.5 | 4.6 |
| | Abnormal | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 6 | Normal | 201 | 187.3 | 11.0 | 5.9 | 189.0 | 7.0 | 4.8 | 203.7 | 15.3 | 7.5 |
| | Abnormal | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
The reproducibility was also analyzed based on signal distributions of CEP 3, CEP 7, CEP 17, and LSI 9p21 for each slide. All negative slides showed a signal distribution of below the recording criteria, e.g. record the chromosomal pattern only if there is a gain (i.e., 3 or more signals) of two or more of CEP 3, 7, 17 or there is a loss of LSI 9p21. The results of signal distribution of four probes in 3 positive slides are summarized in the table below.
| Slide | Probe | Within Run/Day | | | Between Days | | | Between Systems | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | Mean | Std | %CV | Mean | Std | %CV | Mean | Std | %CV |
| 1 | CEP 3 | 5.5 | 1.3 | 24.5 | 5.3 | 1.2 | 22.5 | 5.2 | 1.2 | 22.7 |
| | CEP 7 | 4.4 | 0.8 | 17.8 | 4.3 | 0.8 | 17.7 | 4.2 | 0.7 | 17.6 |
| | CEP 17 | 3.8 | 1.0 | 25.7 | 4.0 | 0.9 | 21.7 | 3.8 | 0.9 | 23.9 |
| | LSI9p21 | 4.7 | 1.1 | 23.0 | 4.6 | 1.0 | 21.6 | 4.4 | 1.1 | 24.7 |
| 2 | CEP 3 | 4.7 | 1.2 | 26.0 | 4.7 | 1.1 | 23.7 | 4.6 | 1.1 | 22.9 |
| | CEP 7 | 4.4 | 0.8 | 17.8 | 4.5 | 1.1 | 23.4 | 4.4 | 1.0 | 22.2 |
| | CEP 17 | 4.3 | 1.2 | 27.4 | 4.4 | 1.1 | 25.3 | 4.4 | 1.1 | 25.6 |
| | LSI9p21 | 2.2 | 0.8 | 37.6 | 2.2 | 0.8 | 37.5 | 2.2 | 0.8 | 35.6 |
| 3 | CEP 3 | 2.0 | 0.4 | 22.7 | 1.9 | 0.4 | 22.7 | 1.9 | 0.4 | 22.0 |
| | CEP 7 | 2.0 | 0.4 | 18.9 | 2.0 | 0.4 | 19.0 | 2.0 | 0.4 | 19.9 |
| | CEP 17 | 2.0 | 0.4 | 21.4 | 2.0 | 0.4 | 20.6 | 1.9 | 0.4 | 19.4 |
| | LSI9p21 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
{6}
To assess the variation in observed signal values, the data were further analyzed with additional statistical models. Results indicated that the large variation (%CV) observed in the signal distribution is due to the heterogeneity of differences within each slide and not from measurement error of the device.
c. Linearity:
Not applicable.
d. Carryover:
Not applicable.
e. Interfering Substances:
Not applicable.
2. Other Supportive Instrument Performance Data Not Covered Above:
Not applicable
K. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
L. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.
