The WSA Self-Fitting Hearing Aid Gen 2 is intended to amplify sound for individuals 18 years of age or older with perceived mild to moderate hearing impairment. It is adjusted by the user to meet the user's hearing needs through software tools. The device is intended for direct-to-consumer sale and use without the assistance of a hearing care professional. The SF-App is intended to support self-fitting and fine-tuning of the hearing aid.
Device Story
Self-fitting air-conduction hearing aid (ITE style) for mild-to-moderate hearing impairment; intended for direct-to-consumer use. Hardware includes earpieces, housing, circuit board, rechargeable Lithium-Ion battery, and antenna for near-field magnetic inductive wireless data exchange between left/right units. User performs acoustic profiling test via mobile app; system applies initial settings from 6 available 'clusters'. User fine-tunes gain parameters via app; app also functions as remote control for volume. Device communicates with app via acoustic technology. Benefits include independent customization of hearing settings without professional intervention.
ITE style; rechargeable Lithium-Ion battery; near-field magnetic inductive wireless link (inter-ear); acoustic communication (app-to-device). Standards: IEC 60601-1, IEC 60601-1-2, IEC 60601-1-11, IEC 60601-2-66, ANSI C63.27, ANSI/ASA S3.22, ANSI/CTA 2051, IEC 62304, IEC 62133-2, UL 1642, ISO 14971.
Indications for Use
Indicated for individuals 18+ with perceived mild to moderate hearing impairment. Intended for direct-to-consumer use without professional assistance.
Regulatory Classification
Identification
A self-fitting air-conduction hearing aid is a wearable sound amplifying device that is intended to compensate for impaired hearing and incorporates technology, including software, that allows users to program their hearing aids. This technology integrates user input with a self-fitting strategy and enables users to independently derive and customize their hearing aid fitting and settings. A self-fitting air-conduction hearing aid is subject to the requirements in § 800.30 or § 801.422 of this chapter, as applicable.
Special Controls
In combination with the general controls of the FD&C Act, the self-fitting air-conduction hearing aid is subject to the following special controls:
- 1. Clinical data must evaluate the effectiveness of the self-fitting strategy.
- 2. Electroacoustic parameters, including maximum output limits, distortion levels, selfgenerated noise levels, latency, and frequency response, must be specified and tested.
- 3. Performance data must demonstrate the electromagnetic compatibility (EMC), electrical safety, and thermal safety of the device.
- 4. Software verification, validation, and hazard analysis must be performed.
- 5. If the device incorporates wireless technology:
- (A) Performance testing must validate safety of exposure to non-ionizing radiation;
- (B)Performance data must validate wireless technology functions; and
- (C) Labeling must specify instructions, warnings, and information relating to wireless technology and human exposure to non-ionizing radiation.
- 6. Usability testing must demonstrate that users can correctly use the device as intended under anticipated conditions of use.
- 7. Patient labeling must include the following:
- (A)Information on how a patient can self-identify as a candidate for the device;
- (B) Information about when to seek professional help;
- (C) A warning about using hearing protection in loud environments;
- (D) A warning about staying alert to sounds around the user of the device;
- (E) Technical information about the device, including information about electromagnetic compatibility; and
- (F) Information on how to correctly use and maintain the device.
*Classification.* Class II (special controls). The special controls for this device are:(1) Clinical data must evaluate the effectiveness of the self-fitting strategy.
(2) Electroacoustic parameters, including maximum output limits, distortion levels, self-generated noise levels, latency, and frequency response, must be specified and tested.
(3) Performance data must demonstrate the electromagnetic compatibility (EMC), electrical safety, and thermal safety of the device.
(4) Software verification, validation, and hazard analysis must be performed.
(5) If the device incorporates wireless technology:
(i) Performance testing must validate safety of exposure to non-ionizing radiation; and
(ii) Performance data must validate wireless technology functions.
(6) Usability testing must demonstrate that users can correctly use the device as intended under anticipated conditions of use.
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Image /page/0/Picture/0 description: The image contains the logos of the Department of Health & Human Services and the Food and Drug Administration (FDA). The Department of Health & Human Services logo is on the left, and the FDA logo is on the right. The FDA logo includes the text "U.S. Food & Drug Administration" in blue.
February 9, 2024
Wsaud A/s % John Smith Partner Hogan Lovells US LLP Columbia Square 555 Thirteenth Street. NW Washington, District of Columbia 20004
Re: K233464
Trade/Device Name: WSA Self-Fitting Hearing Aid Gen 2 Regulation Number: 21 CFR 874.3325 Regulation Name: Self-Fitting Air-Conduction Hearing Aid Regulatory Class: Class II Product Code: QUH Dated: October 23, 2023 Received: January 11, 2024
Dear John Smith:
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 (the 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 available 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.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
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(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review. the OS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 801); medical device reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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.
Shuchen Peng -S
Shu-Chen Peng, Ph.D. Assistant Director DHT1B: Division of Dental and ENT Devices OHT1: Office of Ophthalmic, Anesthesia, Respiratory, ENT and Dental Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
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# Indications for Use
Submission Number (if known)
K233464
Device Name
WSA Self-Fitting Hearing Aid Gen 2
#### Indications for Use (Describe)
The WSA Self-Fitting Hearing Aid Gen 2 is intended to amplify sound for individuals 18 years of age or older with perceived mild to moderate hearing impairment. It is adjusted by the user to meet the user's hearing needs through software tools. The device is intended for direct-to-consumer sale and use without the assistance of a hearing care professional.
The SF-App is intended to support self-fitting and fine-tuning of the hearing aid.
Type of Use (Select one or both, as applicable)
Prescription Use (Part 21 CFR 801 Subpart D)
X Over-The-Counter Use (21 CFR 801 Subpart C)
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## 510(k) Summary K233464
### 1. Submitter
WSAUD A/S Nymøllevej 6 DK-3540 Lynge Denmark Phone: 1561-785-9321 Contact Person: La-Shaunda Joseph, US Regulatory Affairs Manger Lashaunda.joseph@wsa.com
Date Prepared: February 9, 2024
### 2. Subject Device
| | Device Proprietary Name: | WSA Self-Fitting Hearing Aid Gen 2 |
|--|--------------------------|--------------------------------------------------------------------|
| | Common or Usual name: | Hearing Aid |
| | Classification Name: | Self-Fitting Air-Conduction Hearing Aid |
| | Regulatory Number: | 21 C.F.R. § 874.3325 |
| | Product Code: | QUH (Self-Fitting Air-Conduction Hearing Aid, Over The<br>Counter) |
| | Device Classification: | Class II |
### 3. Predicate Device:
WSAUD A/S's Vibe SF Self-Fitting Hearing Aid (K220403)
### 4. Device Description
The WSA Self-Fitting Hearing Aid Gen 2 ("SF Gen 2") is a self-fitting air conduction hearing aid that is intended to compensate for impaired hearing and incorporates technology, including software, that allows users to program their hearing aids. This technology integrates user input with a self-fitting strategy and enables users to independently derive and customize their hearing aid fitting and settings.
The SF Gen 2 hardware includes: Earpieces (sleeves), housing, circuit board including a chip set running embedded software, antenna for near-field magnetic inductive wireless connection for data exchange between the left and right hearing aids, rechargeable battery, and electroacoustic components. The instant fit in-the ear (ITE) style of the hearing aids uses sleeves in 4 different sizes to couple with the ear canal. The sleeves are available in vented and closed styles. The hearing aids are powered by built-in rechargeable Lithium-lon batteries. The device includes embedded software that communicates with the self-fitting software app.
The SF Gen 2 self-fitting system consists of: (a) a wireless hearing aid with a self-fitting feature, and (b) a software application to support hearing aid self-fitting and fine tuning. The subject device is fitted for bilateral use. Left and right hearing aids can communicate with
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each other over a magnetic inductive wireless link, and the hearing aids communicate with the self-fitting web application (the "self-fitting app") using acoustic technology.
The SF Gen 2 self-fitting app is run on an Internet browser that is integrated into a software app that is downloaded onto and accessed through the user's mobile device. The self-fitting strategy begins with an acoustic profiling test that the user performs while wearing the hearing aids. Based on the user's hearing profile, a "cluster" of initial settings is applied to each hearing aid, and users are then guided through fine-tuning of these settings to self-fit the hearing aids for their particular needs and comfort. The mobile app also allows the user to adjust audiological gain parameters and preferred settings on the hearing aid, and functions as a remote control for adjusting hearing aid volume during daily use.
### 5. Indications for Use
The WSA Self-Fitting Hearing Aid Gen 2 is intended to amplify sound for individuals 18 years of age or older with perceived mild to moderate hearing impairment. It is adjusted by the user to meet the user's hearing needs through software tools. The device is intended for directto-consumer sale and use without the assistance of a hearing care professional.
The SF-App is intended to support self-fitting and fine-tuning of the hearing aid.
### 6. Comparison of Technological Characteristics
Both the subject and predicate devices are self-fitting hearing aids indicated for individuals 18 years of age and older with perceived mild to moderate hearing impairment. The same fundamental technology is present in both hearing aids to allow the user to control and customize the device to the user's hearing needs. Both devices are instant fit in-the ear (ITE) hearing aids designed for all-day wear. At a high level, the subject and predicate devices are based on the following same technological elements:
- o Self-fit hearing aid.
- Home healthcare environment use. o
- Software to support self-fitting and fine-tuning of the hearing aid. ●
- Software platform compatibility (iOS, Android).
Both devices use the same communication technology, including near-field magnetic inductive wireless link for data exchange between the left and right hearing aid, and acoustic technology for communication between the hearing aids and the self-fitting app. Additionally, both employ the same self-fitting strategy, which is implemented using a web-based application (the "self-fitting app").
The main design differences between the subject and predicate devices are:
- o The self-fitting app is accessed through a web browser embedded in a dedicated mobile app for the hearing aid, rather than through a standalone web browser.
- 0 Change in the number of clusters that can be applied as a starting point for the user's own fine-tuning, from 4 clusters in the predicate to 6 in the subject device.
- Subject device is powered by rechargeable Lithium-lon batteries, whereas the predicate device used disposable Zinc-Air hearing aid batteries.
- . Subject device uses an updated chip set and updated embedded software.
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- Subject device conforms to new labeling requirements for OTC hearing aids under . 21 CFR 800.30.
A table comparing the key features of the SF Gen 2 to the predicate is provided below.
| Property | Subject Device:<br>WSA Self-Fitting Hearing<br>Aid Gen 2 | Predicate Device<br>Vibe SF Self-Fitting<br>Hearing Aid (K220403) | Comparison |
|------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|
| Product Code | QUH | QDD | Supports substantial<br>equivalence ("SE") given<br>change in hearing aid<br>regulations since<br>clearance of predicate. |
| Classification<br>Regulation | 21 CFR 874.3325 | 21 CFR 874.3325 | Same |
| Indications for<br>use | The WSA Self-Fitting<br>Hearing Aid Gen 2 is<br>intended to amplify sound<br>for individuals 18 years of<br>age or older with perceived<br>mild to moderate hearing<br>impairment. It is adjusted by<br>the user to meet the user's<br>hearing needs through<br>software tools. The device<br>is intended for Direct-to-<br>consumer sale and use<br>without the assistance of a<br>hearing care professional.<br>The SF-App is intended to<br>support self-fitting and<br>fine-tuning of the hearing<br>aid. | The Vibe SF self-fitting<br>hearing aid is intended to<br>amplify sound for<br>individuals 18 years of age<br>or older with perceived mild<br>to moderate hearing<br>impairment. It is adjusted by<br>the user to meet the user's<br>hearing needs through<br>software tools. The device<br>is intended for direct-to-<br>consumer sale and use<br>without the assistance of a<br>hearing care professional.<br>The EasyFit self-fitting<br>web application is<br>intended to support self-<br>fitting and fine-tuning of<br>the Vibe SF hearing aid. | Same |
| Power Source | Built-in Lithium-Ion<br>rechargeable battery | Disposable zinc-air battery | Supports SE. Testing<br>shows rechargeable<br>battery is safe. |
| Labelling | Includes applicable<br>requirements of 21 CFR<br>800.30. | Includes applicable<br>requirements of 21 CFR<br>801.420 and 801.421. | Supports SE given<br>change in hearing aid<br>regulations since<br>clearance of predicate. |
| Acoustic<br>Characteristics | Max OSPL 90: 114 dB<br>SPL<br>Fitted OSPL 90: 99 dB<br>SPL<br>Full-on gain: 44 dB | Max OSPL 90: 114 dB<br>SPL<br>Fitted OSPL 90: 103 dB<br>SPL<br>Full-on gain: 45 dB | Supports SE. Both are<br>adequate for fitting<br>moderate hearing loss<br>(55 dB HL) as prescribed<br>by NAL-NL2. |
| Frequency<br>Range | 250 – 8000 Hz or 100-<br>9100 Hz (depending on<br>measurement method) | 100 – 8600 Hz | Supports SE. Both are<br>adequate for fitting<br>moderate hearing loss as<br>prescribed by NAL-NL2. |
| Input Noise | 23 dBA | 20 dBA | Supports SE. Both<br>comply to the required |
| Property | Subject Device:<br>WSA Self-Fitting Hearing<br>Aid Gen 2 | Predicate Device<br>Vibe SF Self-Fitting<br>Hearing Aid (K220403) | Comparison |
| | | | self-generated noise limit<br>of 32 dB A per 21 CFR<br>800.30(e)(2). |
| Clusters | 6 | 4 | Does not affect SE.<br>Change does not<br>significantly affect self-<br>fitting process. |
| Chip Platform: | Version D12+ with a<br>modified analog front-end<br>chip, digital signal<br>processing chip and<br>embedded software | Version D11 | Does not affect SE.<br>Testing confirms the<br>differences do not affect<br>self-fitting functionality. |
| Self-Fitting App | Web application running<br>on a browser integrated<br>into the mobile app | Web application running<br>on standard web browser<br>on mobile phone | Supports SE. Different<br>way of accessing the app<br>does not change<br>functionality. |
# Comparison of Subject and Predicate Devices
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## 7. Performance Testing
Performance testing, summarized below, was conducted to demonstrate that the SF Gen 2 is as safe and effective as the predicate.
WSAUD conducted a series of non-clinical tests on the SF Gen 2 to assess electrical safety, EMC, wireless coexistence, electroacoustic performance, biocompatibility, and software verification/validation. Device and application firmware and software have been validated per the same standards used to validate the predicate's device and application firmware and software. The results are summarized in the table below:
## Performance Testing
| Property | Test | Result |
|--------------------------------------------------------------|----------------------------------------|--------|
| IEC 60601-1 Ed. 3.2:2020 | EMC and Electrical Safety | Pass |
| IEC 60601-1-2 Ed. 4.1:2020 | | |
| IEC 60601-1-11 Ed. 2.1:2020 | | |
| IEC 60601-2-66 Ed. 3.0:2019 | | |
| AAMI TIR 69:2017<br>ANSI C63.27:2021 | Wireless Functionality and Coexistence | Pass |
| ANSI/ASA S3.22:2014<br>ANSI/CTA 2051:2017<br>21 CFR § 800.30 | Electroacoustic Performance | Pass |
| IEC 62304 A1:2016 | Software Verification / Validation | Pass |
| IEC 62133-2:2017<br>UL 1642:2014 | Battery Safety | Pass |
| ISO 14971:2019<br>AAMI TIR57:2016 | Risk Assessment | Pass |
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In all instances, the SF Gen 2 functioned as intended and results observed were as expected.
The self-fitting strategy is unchanged in the SF Gen 2 compared to the Vibe SF. Although the SF Gen 2 has a minor modification to the "clusters" of hearing aid settings that are applied after the user's hearing profile test, these clusters are not intended to provide final settings for users, but rather to provide a starting point for the user's own fine-tuning. Therefore, the modification to the clusters does not constitute a change in the self-fitting strategy, and no new clinical performance testing was required.
### 8. Conclusion
The WSA Self-Fitting Hearing Aid Gen 2 is as safe and effective as the predicate Vibe SF Self-Fitting Hearing Aid (K220403). The WSA Self-Fitting Hearing Aid Gen 2 has the same intended use indications for use, and similar technological characteristics and principles of operation as its predicate device. In addition, the minor technological differences between the subject and predicate devices raise no new issues of safety or effectiveness. Therefore, the SF Gen 2 is substantially equivalent to the 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.