The Access EPO assay is a paramagnetic particle, chemiluminescent immunoassay for the quantitative determination of erythropoietin levels in human serum and plasma (heparin) using the Access Immunoassay Systems. This assay is intended as an aid in the diagnosis of anemias and polycythemias.
Device Story
Access EPO is a paramagnetic particle, chemiluminescent immunoassay for quantitative erythropoietin (EPO) measurement in human serum/plasma. Used on Dxl 9000 Access Immunoassay Analyzer; operated by laboratory personnel. Principle: two-site immunoenzymatic ('sandwich') assay. Sample added to reaction vessel with mouse monoclonal anti-EPO coated paramagnetic particles, blocking reagent, and alkaline phosphatase conjugate. After incubation, magnetic field holds bound materials while unbound materials are washed away. Chemiluminescent substrate added; light production measured by luminometer. Light intensity directly proportional to EPO concentration. Analyte concentration automatically calculated from stored multi-point calibration curve. Results assist clinicians in diagnosing anemias and polycythemias.
Clinical Evidence
No clinical studies performed. Analytical performance established via bench testing. Method comparison study (N=152) between DxI 9000 and predicate (Access 2) showed slope 0.99 (95% CI: 0.97, 1.00), intercept -0.040, and R=1.00. Precision studies (within-lab and instrument-to-instrument) met acceptance criteria with %CVs generally <7.5%. Linearity established across 0.6–750 mIU/mL. LoB, LoD, and LoQ determined to be 0.6 mIU/mL.
Indicated for the quantitative determination of erythropoietin levels in human serum and plasma (heparin) as an aid in the diagnosis of anemias and polycythemias.
Regulatory Classification
Identification
A erythropoietin assay is a device that measures the concentration of erythropoietin (an enzyme that regulates the production of red blood cells) in serum or urine. This assay provides diagnostic information for the evaluation of erythrocytosis (increased total red cell mass) and anemia.
Special Controls
*Classification.* Class II. The special control for this device is FDA's “Document for Special Controls for Erythropoietin Assay Premarket Notification (510(k)s).”
Predicate Devices
Access EPO (k052223)
Submission Summary (Full Text)
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FDA U.S. FOOD & DRUG ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY ONLY
## I Background Information:
A 510(k) Number
K240182
B Applicant
Beckman Coulter Inc.
C Proprietary and Established Names
Access EPO
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| GGT | Class II | 21 CFR 864.7250 - Erythropoietin Assay | HE - Hematology |
## II Submission/Device Overview:
A Purpose for Submission:
Modification of the previously cleared device
B Measurand:
Erythropoietin (EPO)
C Type of Test:
Quantitative, chemiluminescent immunoassay
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
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## III Intended Use/Indications for Use:
### A Intended Use(s):
See Indications for Use below.
### B Indication(s) for Use:
The Access EPO assay is a paramagnetic particle, chemiluminescent immunoassay for the quantitative determination of erythropoietin levels in human serum and plasma (heparin) using the Access Immunoassay Systems. This assay is intended as an aid in the diagnosis of anemias and polycythemias.
### C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
### D Special Instrument Requirements:
DxI 9000 Access Immunoassay Analyzer (K221225)
## IV Device/System Characteristics:
### A Device Description:
The Access EPO assay consists of the reagent pack and calibrators. The reagent pack consists of three specific reagents:
- Paramagnetic particles coated with goat anti-mouse IgG: mouse anti-recombinant human EPO monoclonal antibody, bovine serum albumin (BSA), 0.1% sodium azide and 0.17% ProClin 300.
- Chicken anti-recombinant mouse EPO alkaline phosphatase (bovine) conjugate, BSA, 0.1% sodium azide and 0.17% ProClin 300.
- TRIS saline buffer containing BSA, proteins (chicken, bovine, mouse), <0.1% sodium azide and 0.17% ProClin 300.
Each Access EPO reagent kit contains two packs, 50 tests per pack, for one hundred assay determinations.
Other items needed but not supplied with reagent kit include:
Access EPO Calibrators: at zero and approximately 5, 25, 125, 375 and 750 mIU/mL
Quality Control (QC) materials: commercial control material
Substrate: Lumi-Phos PRO
UniCel DxI Wash Buffer II
Access Sample Diluent A (optional)
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The modification of the Access EPO assay includes:
- to replace the substrate (Lumi-Phos 5530) of the Access EPO with a new substrate (Lumi-Phos PRO) and
- to run the assay on the DxI 9000 Access Immunoassay Analyzer.
## B Principle of Operation:
The Access EPO assay is a two-step “sandwich” assay, where a sample is added to a reaction vessel along with the paramagnetic particles coated with mouse monoclonal anti-EPO, blocking reagent and the alkaline phosphatase conjugate. After incubation, materials bound to the solid phase are held in a magnetic field while unbound materials are washed away. Then, the chemiluminescent substrate is added to the reaction vessel and light generated by the reaction is measured with a luminometer. The light production is directly proportional to the concentration of the analyte in the sample. Analyte concentration is automatically determined from a stored calibration.
## V Substantial Equivalence Information:
### A Predicate Device Name(s):
Access EPO
### B Predicate 510(k) Number(s):
K052223
### C Comparison with Predicate(s):
| Device & Predicate Device(s): | K240182 | K052223 |
| --- | --- | --- |
| Device Trade Name | Access EPO | Access EPO |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | The Access EPO assay is a paramagnetic particle, chemiluminescent immunoassay for the quantitative determination of erythropoietin levels in human serum and plasma (heparin) using the Access Immunoassay Systems. This assay is intended as an aid in the diagnosis of anemias and polycythemias. | The Access EPO assay is a paramagnetic particle, chemiluminescent immunoassay for the quantitative determination of erythropoietin levels in human serum and plasma (heparin) using the Access Immunoassay Systems. This assay is intended as an aid in the diagnosis of anemias and polycythemias. With the |
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| | | advent of the administration of recombinant erythropoietin as a biologic therapy to increase red blood cell mass, an erythropoietin assay may be used also to aid in the prediction and monitoring of response to recombinant erythropoietin treatment in persons with anemias. The Access EPO calibrators are intended to calibrate the Access EPO assay for the quantitative determination of EPO levels in human serum and plasma (heparin) using the Access Immunoassay Systems. |
| --- | --- | --- |
| Assay technology | Two-step chemiluminescent immunoenzymatic sandwich | same |
| Calibrators | Access EPO calibrators, 0, 5, 25, 125, 375, 750 mIU/mL | same |
| Measuring interval | 0.6–750 mIU/mL | same |
| Quality Control (QC) | Commercial control material | same |
| Storage conditions | Reagent stored at 2–10°C | |
| Expected range | 2.59–18.50 mIU/mL | same |
| Traceability | WHO Second IRP (67/343) | same |
| Calibration frequency | 28 days | same |
| Sample type | Serum and plasma (heparin) | same |
| **General Device Characteristic Differences** | | |
| Substrate | Lumi-Phos pro substrate | Access substrate |
| Instrument | DxI 9000 Access Immunoassay Analyzer | Access Immunoassay system ((Access, Access 2, Synchron LXi 725, |
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UniCel DxI 800, UniCel DxC 600i)
VI Standards/Guidance Documents Referenced:
CLSI EP05-A3: Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline – Third Edition
CLSI EP06-2nd Edition: Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline
CLSI EP17-A2: Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline – Second Edition
CLSI EP09c 3rd Edition: Measurement Procedure Comparison and Bias Estimation Using Patient Samples; Third Edition
VII Performance Characteristics (if/when applicable):
A Analytical Performance
All results presented below met the manufacturer’s pre-determined acceptance criteria.
1. Precision/Reproducibility:
a. Within-Laboratory Precision
Precision studies were performed at a single site on three DxI 9000 Immunoassay analyzers using three reagent lots and three calibrator lots based on CLSI EP 05-A3. Five samples were run in duplicate, two runs per day over 20 or more days. The five samples tested were one sample pool of native and stripped serum sample, two samples were a pool of native serum samples, and two samples were a pool of serum spiked with purified EPO antigen. Repeatability (within-run), between-run, between-day, between-lot/instrument and within-laboratory were evaluated. The mean (mIU/mL), standard deviation (SD) and percent coefficient of variation (%CV) are summarized below.
| Sample | N | Mean (mIU/mL) | Within-Run | | Between-Run | | Between-Day | | Between-Lot /Instrument | | Within-Lab | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 1 | 240 | 1.8 | 0.04 | 2.1 | 0.02 | 0.8 | 0.04 | 2.0 | 0.06 | 3.5 | 0.08 | 4.6 |
| 2 | 240 | 18 | 0.3 | 1.5 | 0.2 | 0.9 | 0.3 | 1.8 | 1.2 | 6.8 | 1.3 | 7.2 |
| 3 | 240 | 79 | 1.4 | 1.8 | 0.2 | 0.3 | 1.5 | 1.9 | 4.2 | 5.3 | 4.7 | 6.0 |
| 4 | 240 | 231 | 5.4 | 2.3 | 1.2 | 0.5 | 4.2 | 1.8 | 11.3 | 4.9 | 13.2 | 5.7 |
| 5 | 240 | 582 | 12.8 | 2.2 | 0 | 0.0 | 14.4 | 2.5 | 34.5 | 5.9 | 39.5 | 6.8 |
Precision was repeated with additional native samples at additional concentrations spanning the assay analytical measuring range. A panel of three individual native serum samples, a native serum pool of individual samples of similar concentrations (sample 4) and a native serum pool supplemented with EPO antigen (sample 5) were tested. The
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study was run on one analyzer using one reagent lot and one calibrator lot. Samples were tested in duplicate with two runs per day over 20 days.
| Sample | N | Mean (mIU/mL) | Within-Run | | Between-Run | | Between-Day | | Within Laboratory | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 1 | 80 | 267 | 4.9 | 1.8 | 1.2 | 0.4 | 3.8 | 1.4 | 6.3 | 2.4 |
| 2 | 80 | 2.0 | 0.05 | 2.3 | 0.02 | 1.0 | 0.06 | 2.8 | 0.07 | 3.8 |
| 3 | 80 | 105 | 2.2 | 2.2 | 1.0 | 1.0 | 1.4 | 1.4 | 2.8 | 2.7 |
| 4 | 80 | 18 | 0.2 | 1.2 | 0.1 | 0.5 | 0.5 | 2.7 | 0.5 | 3.0 |
| 5 | 80 | 548 | 9.3 | 1.7 | 0.0 | 0.003 | 18.1 | 3.3 | 20.4 | 3.7 |
b. Instrument-to-Instrument Reproducibility
Reproducibility was performed based on CLSI EP05-A3. Five samples at different concentrations were run on three analyzers across three reagent lots and one calibrator lot on each instrument with five replicates per run and one run per day over five days. The five samples were prepared as follows: Sample 1 is a pool of two individual native serum samples and one ultrafiltered sample, Sample 2 is a pool of two individual native serum samples of similar concentration, Sample 3 is a pool of individual native serum samples, Sample 4 and Sample 5 are both a pool of two individual native serum samples supplemented with purified recombinant human EPO antigen. The data was used to calculate between-run, between-day, between-lot, between-instrument, and reproducibility (total precision). The mean (mIU/mL), standard deviation (SD) and percent coefficient of variation (%CV) are summarized below.
| Sample | N | Mean mIU/mL | Within-Run | | Between-Day | | Between-Lot | | Between-Instrument | | Reproducibility | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 1 | 225 | 1.9 | 0.03 | 1.7 | 0.02 | 1.2 | 0.03 | 1.5 | 0.02 | 1.1 | 0.05 | 2.8 |
| 2 | 225 | 19 | 0.3 | 1.8 | 0.2 | 1.0 | 1.3 | 6.7 | 0.4 | 2.2 | 1.4 | 7.4 |
| 3 | 225 | 80 | 1.5 | 1.9 | 0.9 | 1.1 | 4.1 | 5.2 | 1.8 | 2.3 | 4.8 | 6.1 |
| 4 | 225 | 236 | 4.8 | 2.0 | 4.1 | 1.7 | 6.7 | 2.8 | 5.7 | 2.4 | 10.8 | 4.6 |
| 5 | 225 | 594 | 13.8 | 2.3 | 12.3 | 2.1 | 21.3 | 3.6 | 15.5 | 2.6 | 32.2 | 5.4 |
An additional instrument-to-instrument reproducibility was repeated with additional native samples at additional concentrations spanning the assay analytical measuring range. A panel of three individual native serum samples, a native serum pool of individual samples of similar concentrations (sample 4) and a native serum pool supplemented with EPO antigen (sample 5) were tested. The study was run on three analyzers using one reagent lot and one calibrator lot. Samples were tested in replicates of five per run, with one run per day over five days on each instrument.
| Sample | N | Mean mIU/mL | Within-Run | | Between-Day | | Between-Instrument | | Reproducibility | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 1 | 75 | 265 | 5.5 | 2.1 | 2.3 | 0.9 | 3.3 | 1.3 | 6.8 | 2.6 |
| 2 | 75 | 2.1 | 0.04 | 1.9 | 0.16 | 8.0 | 0.02 | 1.0 | 0.17 | 8.3 |
| 3 | 75 | 102 | 2.0 | 2.0 | 0.9 | 0.9 | 1.7 | 1.7 | 2.8 | 2.7 |
| 4 | 75 | 17 | 0.3 | 1.7 | 0.2 | 1.4 | 0.4 | 2.3 | 0.6 | 3.2 |
| 5 | 75 | 569 | 16.7 | 2.9 | 16.2 | 2.8 | 15.3 | 2.7 | 27.9 | 4.9 |
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c. Lot-to-lot Calibrator Precision
The study was performed with a panel of three native serum samples at concentrations spanning the Access EPO analytical measuring range. All samples were tested on one DxI 9000 instrument, across three Access EPO calibrator lots, and one Access EPO reagent lot. Three calibrations were performed on each calibrator lot. Each sample was tested in replicates of two per run with two runs per day over 15 days. Three quality controls were run in duplicate on each day to ensure systems were in control.
| Sample | N | Mean mIU/ mL | Within-Run | | Between-Day | | Between-Run | | Between-Lot | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 1 | 540 | 2.0 | 0.04 | 2.2 | 0.05 | 2.4 | 0.04 | 1.8 | 0.04 | 2.0 | 0.085 | 4.2 |
| 2 | 540 | 108 | 2.16 | 2.0 | 1.12 | 1.0 | 1.83 | 1.7 | 2.39 | 2.2 | 3.87 | 3.6 |
| 3 | 540 | 277 | 5.36 | 1.9 | 3.44 | 1.2 | 3.70 | 1.3 | 7.58 | 2.7 | 10.57 | 3.8 |
2. Linearity:
A linearity study was performed based on CLSI EP06, 2nd Edition. A low sample was obtained from a single native sample that was specifically depleted of EPO antigen using paramagnetic particles. A high sample consisting of a pool of seven native serum samples with similar concentration was prepared to represent the upper end of the measuring interval. A panel of seven samples were prepared using the high and low samples. The low sample was run in replicates of eight, all other samples were run in replicates of four. The study was run on one analyzer using one reagent lot and one calibrator lot. Three quality controls were run in replicates of two.
An additional verification study was performed to evaluate linearity of the low end of the measuring range. A low sample was obtained from a single native sample that was specifically depleted of EPO antigen using paramagnetic particles. A high individual native sample at a concentration of approximately 100 mIU/mL was also acquired. Eight samples were prepared for testing. The low sample was run in replicates of eight, all other samples were run in replicated of four.
Linearity was established for the analytical measuring interval of 0.6–750 mIU/mL.
3. Analytical Specificity/Interference:
Refer to K052223.
4. Assay Reportable Range:
0.6–750 mIU/mL
5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
Traceability and stability of Access EPO were established in K052223.
The shelf-life claims and on-board (DxI 9000 Access Immunoassay analyzer) stability claims of Lumi-Phos PRO substrate were established in K221225.
K240182 - Page 7 of 9
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6. Detection Limit:
CLSI guideline EP17-A2 was followed to determine the Limit of Blank (LoB), Limit of Detection (LoD) and Limit of Quantitation (LoQ) for the Access EPO.
LoB: Samples were run on two analyzers with two reagent lots and one calibrator lot. Five unique individual native serum samples from which EPO antigen was depleted using paramagnetic particles were tested over three days, one run per day, five replicates per run, for each pack lot. Three QC samples in replicates of two were run each day. The LoB was calculated for each reagent lot based on a non-parametric approach. The claimed LoB for the Access EPO assay on the DxI 9000 Access Immunoassay analyzer is 0.6 mIU/mL.
LoD: Samples were run on three analyzers with three reagent lots and one calibrator lot. Six serum samples containing low levels of EPO analyte were tested over five days with one run per day and nine replicates per run for each pack lot. The claimed LoD for the Access EPO assay on DxI 9000 Access Immunoassay Analyzer is 0.6 mIU/mL.
LoQ: Samples were run on three analyzers with three reagent lots and one calibrator lot. Thirteen serum samples containing low levels of EPO analyte were measured. Samples were testing in replicates of nine per run with one run per day and five total days on each pack lot and instrument. The claimed LoQ for the Access EPO assay on DxI 9000 Access Immunoassay Analyzer is 0.6 mIU/mL.
7. Assay Cut-Off:
Not applicable.
B Comparison Studies:
1. Method Comparison with Predicate Device:
The method comparison study was performed to compare the Access EPO assay on the DxI 9000 Immunoassay analyzer to the predicate device, the Access EPO assay on the Access 2 Immunoassay System. A total of 152 samples were evaluated, of which 133 were native serum samples, 8 were pools of native serum samples, and 11 were native serum samples supplemented with EPO antigen. The study was run on three DxI 9000 Access Immunoassay analyzers and three Access 2 analyzers with three reagent pack lots and three calibrator lots. Two commercial quality controls were run in duplicate each day. The comparison between paired measurements was analyzed using Passing-Bablok method. The study met pre-defined acceptance criteria.
| N | Range (mIU/mL) | Slope (95% CI) | Intercept (95% CI) | R |
| --- | --- | --- | --- | --- |
| 152 | 0.73–680 | 0.99 (0.97, 1.00) | -0.040 (-0.19, 0.22) | 1.00 |
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2. Matrix Comparison:
Refer to K052223
C Clinical Studies:
1. Clinical Sensitivity:
Not applicable
2. Clinical Specificity:
Not applicable
3. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):
Not applicable
D Clinical Cut-Off:
Not applicable
E Expected Values/Reference Range:
Refer to K052223
VIII Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
IX Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
K240182 - Page 9 of 9
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.