K212954 · G-Tech Medical · MYE · Jan 10, 2022 · Gastroenterology, Urology
Device Facts
Record ID
K212954
Device Name
G-Tech Wireless Patch System (WPS)
Applicant
G-Tech Medical
Product Code
MYE · Gastroenterology, Urology
Decision Date
Jan 10, 2022
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 876.1735
Device Class
Class 2
Attributes
Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K212954 · Jan 10, 2022
G-Tech Wireless Patch System (WPS)
G-Tech Medical
Peer-reviewed clinical literature; Clinical cohort data from postoperative patients
The sponsor provided four peer-reviewed publications as supplemental evidence to demonstrate the device's clinical utility, correlation with clinical markers of postoperative recovery, and long-term reproducibility of measurements in clinical populations.
Monitoring gastric myoelectric activity after pancreaticoduodenectomy for diet 'readiness'; Clinical cohort study
Adult patients undergoing pancreaticoduodenectomy
Not applicable for this study
Correlation between myoelectric activity and diet readiness
Colon myoelectric activity measured after open abdominal surgery with a noninvasive wireless patch system predicts time to first flatus; Clinical cohort study
Patients undergoing open abdominal surgery
Not applicable for this study
Prediction of time to first flatus
Cutaneous Patches to Monitor Myoelectric Activity of the Gastrointestinal Tract in Postoperative Pediatric Patients; Clinical cohort study
Postoperative pediatric patients
Not applicable for this study
Monitoring myoelectric activity in pediatric postoperative setting
Pilot Validation of a New Wireless Patch System as an Ambulatory, Noninvasive Tool That Measures Gut Myoelectrical Signals: Physiologic and Disease Correlations; Clinical cohort study; Follow-up/Duration: Multi-year
Ambulatory patients
Not applicable for this study
Reproducibility of myoelectrical profile and sensitivity to external stimulus
Indications for Use
The intended use for the G-Tech Patch System is to serve as a tool that provides gastrointestinal myoelectrical activity measurements to be used at the discretion of the Physician or Clinical User to aid in the diagnosis and evaluation of gastrointestinal disorders.
Device Story
Non-invasive wireless gastrointestinal monitoring system; uses wearable, single-use electrode patches to acquire electrical signals from abdominal skin surface; transmits data via Bluetooth to G-Tech Patch Monitor; monitor encrypts and uploads data to secure cloud server; patient interface on monitor allows manual entry of events (meals, bowel movements, pain, medications); computer-based algorithms process uploaded data to measure/report myoelectrical activity for stomach and intestines; output provided to physicians for clinical evaluation; aids in diagnosis/evaluation of GI disorders; used in hospital, clinic, or home settings under physician supervision.
Clinical Evidence
Evidence includes animal studies (Yucatan mini-pigs) comparing patch signals to serosal electrodes, demonstrating signal fidelity. Clinical evidence includes IRB-approved studies and case histories showing concordance between patch measurements and high-resolution manometry (antroduodenal/colonic) and Smart Pill data. Four peer-reviewed publications demonstrate correlation with clinical markers of postoperative recovery in adult and pediatric populations and reproducibility of myoelectrical profiles over multi-year periods.
Technological Characteristics
System includes wearable electrode patches, patch monitor, iOS app, and cloud server. Biocompatibility per ISO 10993-1 for up to 30 days. Connectivity via Bluetooth and cloud-based data transmission. Complies with IEC 60601-1, IEC 60601-1-11, IEC 60601-1-6, IEC 60601-1-2, and ANSI C63.27-2017. Software-based signal processing and analysis.
Indications for Use
Indicated for use by physicians or clinical staff in hospital, clinic, or office settings, and post-discharge, to aid in the diagnosis and evaluation of gastrointestinal disorders by measuring gastric and intestinal myoelectrical activity.
Regulatory Classification
Identification
An electrogastrography system (EGG) is a device used to measure gastric myoelectrical activity as an aid in the diagnosis of gastric motility disorders. The device system includes the external recorder, amplifier, skin electrodes, strip chart, cables, analytical software, and other accessories.
Special Controls
*Classification.* Class II (Special Controls). The special controls are as follows:(1) The sale, distribution and use of this device are restricted to prescription use in accordance with § 801.109 of this chapter.
(2) The labeling must include specific instructions:
(i) To describe proper patient set-up prior to the start of the test, including the proper placement of electrodes;
(ii) To describe how background data should be gathered and used to eliminate artifact in the data signal;
(iii) To describe the test protocol (including the measurement of baseline data) that may be followed to obtain the EGG signal; and
(iv) To explain how data results may be interpreted.
(3) The device design should ensure that the EGG signal is distinguishable from background noise that may interfere with the true gastric myoelectric signal.
(4) Data should be collected to demonstrate that the device has adequate precision and the EGG signal is reproducible and is interpretable.
In addition to the general controls of the act, the 3CPM EGG Machine is subject to the following special controls: (1) The sale, distribution and use of this device are restricted to prescription use in accordance with 21 CFR 801.109. (2) The labeling must include specific instructions (a) to describe proper patient set-up prior to the start of the test, including the proper placement of electrodes; (b) to describe how background data should be gathered and used to eliminate artifact in the data signal; (c) to describe the test protocol (including the measurement of baseline data) which may be followed to obtain the EGG signal; and (d) to explain how data results may be interpreted. (3) The device design should ensure that the EGG signal is distinguishable from background noise that may interfere with the true gastric myoelectric signal. (4) Data should be collected to demonstrate that the device has adequate precision and the EGG signal is reproducible and is interpretable.
Polygram Net Electrogastrography Application Software, Model 9043S0151; Polygraf Id, Model 9043G0102 (K014269)
Reference Devices
Smartpill GI Monitoring System, Version 2.0 (K092342)
Submission Summary (Full Text)
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January 10, 2022
G-Tech Medical Steve Axelrod President and CEO 2495 Hospital Drive, Suite 300 Mountain View, CA 94040
Re: K212954
Trade/Device Name: G-Tech Wireless Patch System (WPS) Regulation Number: 21 CFR 876.1735 Regulation Name: Electrogastrography System Regulatory Class: Class II Product Code: MYE Dated: September 14, 2021 Received: September 16, 2021
Dear Steve Axelrod:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
for
Shanil P. Haugen, Ph.D. Assistant Director DHT3A: Division of Renal, Gastrointestinal, Obesity and Transplant Devices OHT3: Office of GastroRenal, ObGyn, General Hospital and Urology Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K212954
Device Name The G-Tech Wireless Patch System (WPS)
Indications for Use (Describe)
The intended use for the G-Tech Patch System is to serve as a tool that provides gastrointestinal myoelectrical activity measurements to be used at the discretion of the Physician or Clinical User to aid in the diagnosis and evaluation of gastrointestinal disorders.
| Type of Use (Select one or both, as applicable) | |
|----------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------|
| <span style="font-family: Arial, sans-serif;"> <input checked="true" type="checkbox"/> Prescription Use (Part 21 CFR 801 Subpart D) </span> | <input type="checkbox"/> Over-The-Counter Use (21 CFR 801 Subpart C) |
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K212954 Page 1 of 4
## 510(k) Summary
This summary of the 510(k) premarket notification for the G-Tech Patch System is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR§807.92.
| Date: | Jan 7, 2022 |
|-------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Applicant: | G-Tech Medical, Inc.<br>2495 Hospital Drive, Suite # 300<br>Mountain View, CA 94040<br>Phone: 650-269-1479<br>Fax: N/A |
| Applicant<br>Contact Person: | Steve Axelrod, PhD<br>President and CEO, G-Tech Medical, Inc.<br>2495 Hospital Drive, Suite # 300<br>Mountain View, CA 94040<br>Phone: 650-269-1479<br>Fax: N/A<br>Email: steve.axelrod@gtechhealth.com |
| Device<br>Information | Trade Name: The G-Tech Wireless Patch System (WPS)<br>Generic/Common Name: Gastrointestinal myoelectrical activity measurement<br>system<br>Regulation: 21 CFR 876.1735<br>Classification: Electrogastrography (EGG) system<br>Product Code: MYE |
| Predicate<br>Device(s) | Primary predicate device #1: DEN990005 / K984637, THE 3CPM EGG<br>MACHINE<br>Predicate device #2: K014269, Polygram Net Electrogastrography Application<br>Software, Model 9043S0151; Polygraf Id, Model 9043G0102<br>Reference device: K092342, Smartpill GI Monitoring System, Version 2.0. |
| Intended Use | The intended use for the G-Tech Patch System is to serve as a tool that provides<br>gastric and intestinal myoelectrical activity measurements to be used at the<br>discretion of the Physician or Clinical User to aid in the diagnosis and evaluation<br>of gastrointestinal disorders. |
| Device<br>Description | The G-Tech System is a non-invasive wireless gastrointestinal monitoring system<br>for use by the physician or staff in the hospital setting, clinic, or physician's<br>office. The device is intended for use while the patient is under direct supervision |
| | (e.g., in hospital or clinic) as well as after discharge to home or to intermediate<br>setting. |
| | The device is for prescription use only. |
| | The device consists of the G-Tech Patch, the G-Tech Patch Monitor, an iOS<br>application, a secure cloud storage server and computer-based data analysis<br>algorithms. |
| | The G-Tech Patch is a single use, wearable electrode patch that reads the<br>electrical signals of the gastrointestinal tract from the abdominal skin surface. The<br>Patch transmits the acquired electrical signals via Bluetooth to the G-Tech Patch<br>Monitor. |
| | The G-Tech Patch Monitor receives the raw data, encrypts it, and periodically<br>uploads it to a secure cloud server. Additionally, the Patch Monitor has a patient<br>interface to allow the patient to manual enter events such as meals, bowel<br>movements, pain or the taking of medications. |
| | Data analysis algorithms process the uploaded data to measure and report<br>myoelectrical activity for the stomach and intestines. These measurements are<br>made available to physicians for aid in clinical evaluation of their patient. |
| Determination of<br>Substantial<br>Equivalence: | <b>Indications for Use:</b> The G-Tech Wireless Patch System and the predicate device<br>have the same indications for use and same intended population. |
| | <b>Technology:</b> The G-Tech WPS operates on the same fundamental principal as the<br>predicate system by measuring myoelectrical activity with cutaneous electrodes at<br>the abdominal skin surface. Technological improvements in the G-Tech WPS<br>that improve on the predicate system have been evaluated to ensure that the safety<br>and efficacy profile of the predicate device is maintained for the G-Tech Patch<br>System. |
| | <b>Electrical safety and electromagnetic compatibility (EMC):</b> Electrical safety<br>and EMC testing were conducted on the G-Tech Wireless Patch System. The G-<br>Tech Wireless Patch System complies with the following standards |
| | • IEC 60601-1:2005 |
| | • IEC 60601-1-11:2015 |
| | • IEC 60601-1-6:2010 |
| | • IEC 60601-1-2:2014 |
| | • ANSI C63.27-2017 |
| | <b>Biocompatibility:</b> The biocompatibility of the G-Tech Patch System was<br>assessed by evaluating the results of the testing recommended by ISO 10993-<br>1:2009, Biological evaluation of medical devices -- Part 1: Evaluation and testing<br>within a risk management. The G-Tech Patch has been assessed to be compliant<br>for contact with intact skin for up to 30 days. |
## 510(k) Notification K212954
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Software Verification and Validation Testing: The G-Tech Patch System uses software to acquire and process the myoelectrical signals and generate a report for the Physician. Software documentation for the G-Tech Patch System was developed in consideration of FDA's guidance documents, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" and "Content of Premarket Submissions for the Management of Cybersecurity in Medical Devices" and is provided.
Mechanical Strength Testing: Mechanical Strength testing that includes wear adhesion test and tensile strength test are presented. Additionally, impact test, drop test and shock and vibration tests, conducted for compliance to 60101-1-11 that assesses requirements of medical electrical equipment for Home Healthcare, is presented. The testing demonstrates that the G-Tech Wireless Patch System device should perform as intended in the specified use conditions and maintain the safety profile of the predicate system.
Bench Performance Study: Functional bench testing performed to demonstrate the performance and efficiency of the patch system and algorithms that calculate myoelectrical activity of the Stomach and Intestines are presented. Known signals that have realistic background, artifact and noise characteristics to the system were applied to the system both directly and through a phantom, to assess how the system will perform when the signals are real and not known a priori. The study demonstrated that the G-Tech Patches are reliable and provide consistent electrical measurement devices, and that the data processing algorithms are efficient engines for extracting rhythmic motor activity signals.
Animal Study: Data from a study undertaken to compare simultaneous measurements between G-Tech Wireless Patches and multi-element electrodes sutured to serosal surfaces of stomach, small intestine, and colon of adolescent Yucatan mini-pigs is presented. The data demonstrate that the slow wave signals associated with the three major GI organs as observed with internal electrodes are detectable at the skin surface with the G-Tech Wireless Patches and have fidelity to the internally measured signals in frequency and spectral shape.
Clinical Studies: G-Tech Medical has studied its technology under several nonsignificant risk IRB-approved studies and well-documented case histories. These studies have focused on understanding the measurement capabilities and potential clinical utility of the technology.
The primary evidence includes simultaneous measurements between G-Tech Wireless Patches and antroduodenal and colonic manometry that demonstrates that the non-invasive patch system records signals that can be identified as being from the Stomach, Duodenum/Jejunum and Colon by the concordance with frequency and time, of spectral analysis of high-resolution manometry data. Similarly, concordance in frequency and time observed between G-Tech Wireless Patch measurements and Smart Pill measurements is presented that corroborates the findings from the manometry study.
The supplemental evidence provided are four peer-reviewed publications listed below. Three of these demonstrate correlation between the G-Tech Wireless Patch Measurements and clinical markers of postoperative recovery in adult and
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| | pediatric populations. A fourth peer reviewed publication demonstrates<br>reproducibility of the gastric and intestinal myoelectrical profile over multi-year<br>periods and the sensitivity of the measurements to in external stimulus in specific<br>examples. |
|-------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | 1. Dua, M.M., Navalgund, A., Axelrod, S., Axelrod, L., Worth, P.J., Norton,<br>J.A., Poultsides, G.A., Triadafilopoulos, G. and Visser, B.C., 2018.<br>Monitoring gastric myoelectric activity after pancreaticoduodenectomy<br>for diet "readiness”. <i>American Journal of Physiology-Gastrointestinal<br/> and Liver Physiology</i> , 315(5), pp. G743-G751. |
| | 2. Navalgund, A., Axelrod, S., Axelrod, L., Singhal, S., Tran, K., Legha, P.,<br>& Triadafilopoulos, G. (2019). Colon myoelectric activity measured after<br>open abdominal surgery with a noninvasive wireless patch system<br>predicts time to first flatus. <i>Journal of Gastrointestinal Surgery</i> , 23(5),<br>982-989. |
| | 3. Taylor, J.S., de Ruijter, V., Brewster, R., Navalgund, A., Axelrod, L.,<br>Axelrod, S., Dunn, J.C. and Wall, J.K., 2019. Cutaneous Patches to<br>Monitor Myoelectric Activity of the Gastrointestinal Tract in<br>Postoperative Pediatric Patients. <i>Pediatric gastroenterology, hepatology<br/> & nutrition</i> , 22(6), pp.518-526. |
| | 4. Axelrod, L., Axelrod, S., Navalgund, A. and Triadafilopoulos, G., 2020.<br>Pilot Validation of a New Wireless Patch System as an Ambulatory,<br>Noninvasive Tool That Measures Gut Myoelectrical Signals: Physiologic<br>and Disease Correlations. <i>Digestive Diseases and Sciences</i> , pp.1-11. |
| Conclusion: | The G-Tech Patch System and the predicate device have the same indications for<br>use. Technological improvements in the G-Tech WPS that expand the utility of<br>the predicate device have been evaluated to ensure that the safety and efficacy<br>profile of the predicate device is maintained for the G-Tech Patch System.<br>The biocompatibility, electrical and electromagnetic testing and hardware testing<br>support the safety of the device. The clinical data supports the safety and the<br>ability of the G-Tech Wireless Patch System to measure not just gastric but also<br>intestinal myoelectrical activity. The bench testing, hardware and software<br>verification and validation demonstrate that the G-Tech Wireless Patch System<br>device should perform as intended in the specified use conditions. Therefore, it is<br>the conclusion of G-Tech Medical that the G-Tech Patch System is substantially<br>equivalent to the predicate device. |
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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.