Historical clinical trial data (fetal ECG recordings)
Historical clinical trial data was used to create simulated electrophysiological signals to validate the data transfer and extraction performance of the Monica Novii Wireless Patch System against the predicate device.
Bench testing; Signal simulation; Historical clinical data
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Data Transfer and Extraction Validation; Bench testing using simulated clinical data
Laboring patients (historical data source); Sample Size: 10 data files
The Monica Novii Pod is an intrapartum maternal-fetal monitor that non-invasively measures and displays fetal heart rate (FHR), uterine activity (UA) and maternal heart rate (MHR). The Novii Pod acquires and displays the FHR tracing from abdominal surface electrodes that pick up the fetal ECG (fECG) signal. Using the same surface electrodes, the Pod also acquires and displays the UA tracing from the uterine electromyography (EMG) signal and the MHR tracing from the maternal ECG signal (mECG). The Pod is indicated for use on women who are at >36 completed weeks, in labor, with singleton pregnancies, using surface electrodes on the maternal abdomen. The Novii Patch is an accessory to the Novii Pod that connects directly to the Novii Pod and contains the surface electrodes that attach to the abdomen. The Novii Interface is an accessory to the Novii Pod which provides a means of interfacing the wireless output of the Novii Pod to the transducer inputs of a CTG Fetal monitor. The Novii Interface enables signals collected by the Novii Pod to be printed and displayed on a CTG Fetal Monitor and sent on to a central network, if connected. The Novii Pod maternal-fetal monitor and its accessories are intended for use by healthcare professionals in a clinical setting
Device Story
Ambulatory maternal-fetal monitor; uses 5-electrode patch on maternal abdomen to acquire electrophysiological signals (fECG, mECG, uterine EMG). Pod filters and processes signals in real-time to extract FHR, MHR, and UA. Data transmitted via Bluetooth to Novii Interface; Interface converts wireless output to analog signals for standard CTG fetal monitor inputs. Used by healthcare professionals in clinical settings. Enables continuous monitoring without energy emission into patient. Output displayed on CTG monitor/central network; assists clinicians in labor management. Benefits include non-invasive, wireless monitoring for laboring patients.
Clinical Evidence
Clinical study of 31 patients (30 min stage 1 labor, 30 min stage 2 labor) compared Novii Patch to AN24 predicate with Ambu electrodes. Study included 24 subjects across three BMI groups and 7 subjects with deliberately misplaced patches. Results demonstrated substantial equivalence in performance for FHR, MHR, and UA monitoring.
Technological Characteristics
Battery-powered electrophysiological monitor. 5-electrode disposable patch array. Passive sensing (no energy emission). Bluetooth connectivity to interface. Biocompatible materials (ISO 10993). Complies with IEC 60601-1 (electrical safety), IEC 60601-1-2 (EMC), and ANSI/AAMI EC12 (electrodes).
Indications for Use
Indicated for women >36 weeks gestation, in labor, with singleton pregnancies, for non-invasive monitoring of fetal heart rate, uterine activity, and maternal heart rate using abdominal surface electrodes.
Regulatory Classification
Identification
An external uterine contraction monitor (i.e., the tokodynamometer) is a device used to monitor the progress of labor. It measures the duration, frequency, and relative pressure of uterine contractions with a transducer strapped to the maternal abdomen. This generic type of device may include an external pressure transducer, support straps, and other patient and equipment supports.
{0}------------------------------------------------
Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is a stylized image of three human profiles facing to the right, stacked on top of each other.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
August 27, 2014
Monica Healthcare Carl Barratt CEO BioCity, Pennyfoot Street Nottingham, NG1, 1GF, UK
Re: K140862
> Trade/Device Name: Monica Novii Wireless Patch System Regulation Number: 21 CFR§ 884.2740 Regulation Name: Perinatal monitoring system and accessories Regulatory Class: II Product Code: HGM Dated: July 25, 2014 Received: July 28, 2014
Dear Carl Barratt,
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.
{1}------------------------------------------------
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 device-related 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.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR 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/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours.
# Herbert P. Lerner -S
for
Benjamin R. Fisher, Ph.D. Director Division of Reproductive, Gastro-Renal, and Urological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
Image /page/2/Picture/0 description: The image contains the logo for Monica Healthcare. The word "Monica" is written in a bold, red font. To the right of the word is a gray graphic of a pregnant woman. Below the word "Monica" is the word "Healthcare" in a smaller, gray font.
Monica Healthcare Limited Biocity, Pennyfoot Street, Nottingham, NG1 1GF, UK +44 (0)115 912 4540 / F +44 (0)115 912 4289 / E info@monicahealthcare.com www.monicahealthcare.com
## Indications for Use Statement
510(k) Number (if known):
Device Name: Monica Novii Wireless Patch System
#### Indications For Use:
The Monica Novii Pod is an intrapartum maternal-fetal monitor that non-invasively measures and displays fetal heart rate (FHR), uterine activity (UA) and maternal heart rate (MHR). The Novii Pod acquires and displays the FHR tracing from abdominal surface electrodes that pick up the fetal ECG (fECG) signal. Using the same surface electrodes, the Pod also acquires and displays the UA tracing from the uterine electromyography (EMG) signal and the MHR tracing from the maternal ECG signal (mECG). The Pod is indicated for use on women who are at >36 completed weeks, in labor, with singleton pregnancies, using surface electrodes on the maternal abdomen.
The Novii Patch is an accessory to the Novii Pod that connects directly to the Novii Pod and contains the surface electrodes that attach to the abdomen.
The Novii Interface is an accessory to the Novii Pod which provides a means of interfacing the wireless output of the Novii Pod to the transducer inputs of a CTG Fetal monitor. The Novii Interface enables signals collected by the Novii Pod to be printed and displayed on a CTG Fetal Monitor and sent on to a central network, if connected.
The Novii Pod maternal-fetal monitor and its accessories are intended for use by healthcare professionals in a clinical setting
Prescription Use (Part 21 CFR 801 Subpart D) AND/OR Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
{3}------------------------------------------------
Image /page/3/Picture/0 description: The image shows the logo for Monica Healthcare. The word "Monica" is written in red, with the "i" replaced by a gray silhouette of a pregnant woman. Below the word "Monica" is the word "Healthcare" in gray.
Monica Healthcare Limited Biocity, Pennyfoot Street, Nottingham, NG1 1GF, UK T +44 (0)115 912 4540 / F +44 (0)115 912 4289 / E info@monicahealthcare.com www.monicahealthcare.com
## 510(k) Summary
#### Monica Novii Wireless Patch System
| Submitters Name: | Carl Barratt<br>Monica Healthcare Ltd<br>Biocity<br>Pennyfoot Street<br>Nottingham NG1 1GF<br>UK<br><br>Tel: +44 (0)115 912 4541<br>Email: carl.barratt@monicahealthcare.com |
|----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Name of Device: | Monica Novii Wireless Patch System |
| Manufactured by: | Monica Healthcare Ltd<br>Biocity<br>Pennyfoot Street<br>Nottingham NG1 1GF<br>UK |
| Date of Summary: | 25th July 2014 |
| Classification Name: | 21 CFR 884.270 System Monitoring Perinatal |
| Predicate Device: | Monica AN24 (K101801, K112390)<br>Monica IF24 (K112163)<br>Ambu Electrodes (K041026) |
#### Device Description:
The Monica Novii Pod Fetal-Maternal Monitor is designed as an ambulatory device for the monitoring of a pregnant mother. The monitor enables the abdominal electrophysiological signal to be picked up from three different positions on the maternal abdomen using the 5 electrodes on the Monica Novii Patch. The monitor filters the abdominal signals, converts the abdominal electrophysiological data into a digital format and then processes it in real time to extract the fetal heart rate, maternal heart rate and uterine activity. The result of the processing is transmitted via the Bluetooth connection to the Monica Novii CTG Interface device that is a Monica Approved accessory to the Monica Novii Pod.
{4}------------------------------------------------
Image /page/4/Picture/0 description: The image shows the logo for Monica Healthcare. The word "Monica" is written in red, with a stylized figure of a pregnant woman in gray forming part of the letter "i". Below "Monica" is the word "Healthcare" in a smaller, gray font. The logo is simple and modern, with a focus on the company's name and its association with women's health.
#### Intended Use:
The Monica Novii Pod is an intrapartum maternal-fetal monitor that non-invasively measures and displays fetalheart rate (FHR), uterine activity (UA) and maternal heart rate (MHR). The Novii Pod acquires and displays the FHR tracing from abdominal surface electrodes that pick up the fetal ECG (fECG) signal. Using the same surface electrodes, the Pod also acquires and displays the UA tracing from the uterine electromyography(EMG) signal and the MHR tracing from the maternal ECG signal (mECG). The Pod is indicated for use on women who are at >36 completed weeks, in labor, with singleton pregnancies, using surface electrodes on the maternal abdomen.
The Novii Patch is an accessory to the Novii Pod that connects directly to the Novii Pod and contains the surface electrodes that attach to the abdomen.
The Novii Interface is an accessory to the NoviiPod which provides a means of interfacing the wireless output of the Novii Pod to the transducer inputs of a CTG Fetal monitor. The Novii Interface enables signals collected by the Novii Pod to be printed and displayed on a CTG Fetal Monitor and sent on to a central network, if connected.
The Novii Pod maternal-fetal monitor and its accessories are intended for use by healthcare professionals in a clinical setting
#### Technology Characteristics:
The Monica Novii Pod is a small battery powered electrophysiological monitor for the measurement of Maternal heart rate (MHR), Fetal heart rate (FHR) & Uterine activity (UA).
The electrical signals are passively monitored using five electrodes placed on the pregnant abdomen in a fixed array. From these electrical signals the Fetal Heart Rate (FHR), Maternal Heart Rate (MHR) and Uterine Activity (UA) are continuously extracted and displayed in the same standard format as the predicate device.
The detection technology of the Monica Novii Pod is identical to the Monica AN24 predicate device in that it use the same electronic components, the same signal processing software and detects the electrical RR Intervals in the same way. Both devices produce the same output i.e. fetal heart rate (expressed as number of heart beats per minute), uterine activity and maternal heart rate.
For the actual detection of FHR, MHR and UA the Monica Novii Pod does not emit any energy into the patient, the same as the predicate device and hence the detection technology does not raise any new type of safety and effectiveness questions. In addition for FHR, MHR and uterine activity both the Monica Novii Pod and predicate device are external, skin contacting devices. The materials in contact with the patient are biocompatibility tested and comply with standards. To ensure clinical effectiveness the clinical performance data was collected as described in the "Clinical Study" section below. This study demonstrates that the Monica Novii Pod device is at least as accurate and reliable as the predicate device for monitoring FHR, MHR and UA.
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the logo for Monica Healthcare. The word "Monica" is written in a bold, red font. Below the word "Monica" is the word "Healthcare" in a smaller, gray font. To the right of the word "Monica" is a gray silhouette of a pregnant woman.
### Monica Healthcare Limited Biocity, Pennyfoot Street, Nottingham, NG1 1GF, UK T +44 (0)115 912 4540 / F +44 (0)115 912 4289 / E info@monicahealthcare.com www.monicahealthcare.com
## Clinical Testing
The Monica Novii Patch was tested in a clinical environment in direct comparison to the AN24 predicate devices using individually placed Ambu electrodes used in accordance with the indications for use and Monica's AN24 user manual.
The clinical study monitored the clinical performance of the Monica Novii Patch and the predicate device for equivalence in 31 patients using a 60 minute recording for each participant, consisting of 30 minutes of data in stage 1 labor and 30 minutes of data in stage 2 labor (or late stage 1/stage 2 when stage 2 was shorter than 30minutes segments were chosen without bias to the Novii Patch or AN24 performance. The clinical study was in two stages, 24 subjects recruited into three BMI groups and 7 subjects where the Novii Patch was deliberately misplaced.
The results demonstrated that the Monica Novii Patch is substantially equivalent to the Ambu electrodes attached to the Monica AN24 predicate device.
#### Non-Clinical Test Summary
Extensive bench testing of the Novii Pod, Interface and Patch was undertaken to establish their equivalence to the predicate devices and detailed reports are included in Appendix F. An overview covering the key elements of the bench testing is outlined below:
#### 트 Data Transfer Validation (Plan 107-TP-007 & Report 107-TP-007 01)
These tests confirm data transfer reliability and accuracy under normal conditions and for wireless coexistence using the following process, see Figure 1
Image /page/5/Figure/10 description: The image shows a block diagram of a fetal monitoring system. The system includes an MP3 player connected to an adaptor (100-EQ-065), which is connected to a Novii Pod. The Novii Pod is connected to a Novii Interface via Bluetooth. The Novii Interface is connected to a Fetal Monitor, which is connected to a computer via a serial link and a paper printout.
#### Figure 1: Data Transfer Validation
An MP3 player is used to simulate abdominal electrophysiological data on labouring patients. The simulated data is based upon data collected in a trial of the predicate Monica AN24 device (K101801). The audio MP3 output is fed into an adaptor (resistor network) to downsize the signals to microvolt levels in line with typical signal amplitudes recorded on the maternal abdomen. The Novii Pod detects the electrophysiological abdominal data and extracts FHR, MHR and Uterine Activity before transmitting it via Bluetooth to the Novii Interface. A Micro-SD card is fitted to the Novii Pod printed circuit board so that the Pod
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image shows the logo for Monica Healthcare. The word "Monica" is written in red, with the "o"s stylized. Above the "i" in Monica is a gray figure of a pregnant woman. Below the word "Monica" is the word "Healthcare" in a smaller font.
Monica Healthcare Limited Pennyfoot Street, Nottingham, NG1 1GF, UK 115 912 4540 / F +44 (0)115 912 4289 / E info@monicahealthcare.com www.monicahealthcare.com
can store the extracted data locally for later comparison with the transmitted signal. The transmitted Bluetooth data is converted back to analogue signals upon collection by the Novii Interface and fed into a fetal monitor through its standard DECG, MECG and TOCO inputs. The fetal monitor sends the data to its serial interface in the normal way, where it is collected in real time by a computer. At the end of the test the data stored on the micro-SD memory card is downloaded to the computer and compared to the transmitted data collected in real time from the serial COM port of the fetal monitor. Reliability and accuracy of the data transfer is confirmed in this way by demonstrating it meets pre-set thresholds i.e. a bias difference less of than 1 BPM for fetal heart rate and a maximum loss of transmitted to recorded data of 2%
#### ■ Data Extraction Validation (Plan 107-TP-004, Report 107-TR-001 and App A 107-TR-001)
The real time patient data extraction is verified by comparing the output of the predicate Monica AN24 device to the output of the Novii Pod in respect of FHR, MHR and UA data using simulated electrophysiological data.
In the test, both devices are connected to the sound card of a computer using a resistor Bridge to reduce the voltage of the audio output of the PC soundcard down to the same level of amplitude recorded on the maternal abdomen. The data played through the PC sound card is simulated data based on data collected from the maternal abdomen in previous fetal ECG trials.
Ten (10) data files are then played into the inputs of both devices simultaneously and the results of the extracted data is then compared to demonstrate equivalence by statistical analysis including; Positive Percent Agreement (PPA), Percentage Equivalence and Sensitivity
#### ■ Other Bench Validation
In addition, testing was also undertaken to validate;
- > Interface software functionality, including pairing with and charging the Novii pods
- > Hardware for both the Pod & Interface to demonstrate size, weight, connection, IP rating and other aspects of the physical design.
- > Patch Validation Testing was carried out in accordance with the ANSI/ AAMI EC12 standard for disposable electrodes, covering; Peel & Tact, patch aging & storage, transportation and electrical performance such as internal noise
#### . 3″d Party Testing
In addition, the full Monica Novii Wireless Patch system was demonstrated to comply with voluntary standards at accredited independent test facilities in the following areas:
- Electrical Safety (IEC60601-1) .
- EMC (IEC60601-1-2 & FCC CFR 47)
{7}------------------------------------------------
Image /page/7/Picture/0 description: The image shows the logo for Monica Healthcare. The word "Monica" is written in red, with the "M", "o", and "n" in a bold, sans-serif font. The "i" is replaced by a stylized, silver-colored figure of a pregnant woman. Below the word "Monica" is the word "Healthcare" in a smaller, light gray font.
Monica Healthcare Limited Biocity, Pennyfoot Street, Nottingham, NG1 1GF, UK T +44 (0)115 912 4540 / F +44 (0)115 912 4289 / E info@monicahealthcare.com www.monicahealthcare.com
- = IP (BSEN 60529)
- Cleaning (Testing procedure is based on Ph Eur 2.6.13 / USP<61>)
- . Biocompatibility (ISO10993)
## Conclusion
The conclusions drawn from the non-clinical tests and clinical study demonstrate that the Monica Novii Wireless Patch System is as safe, as effective and performs as safely and effectively as the legally marketed predicate device.
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.