ImPACT Version 4 is intended for use as a computer-based neurocognitive test battery to aid in the assessment and management of concussion. ImPACT Version 4 is a neurocognitive test battery that provides healthcare professionals with objective measure of neurocognitive functioning as an assessment aid and in the management of concussion in individuals ages 12-80.
Device Story
ImPACT Version 4 is a computer-based neurocognitive test battery; used by healthcare professionals to assess concussion-related cognitive impairment. Input: test-taker responses to stimuli (reaction time, memory, attention, spatial processing) via mouse, trackpad, or iPad touchscreen. Operation: software presents 6 modules (Word/Design Memory, X's and O's, Symbol Matching, Color Match, Three Letter Memory); records speed and accuracy; compares results against normative databases. Output: raw scores, composite scores, and validity indexes. Context: used in supervised or unsupervised settings; results interpreted by qualified professionals to assist in clinical management. Benefits: provides objective data to support concussion assessment; does not provide direct diagnosis or treatment recommendations.
Clinical Evidence
Prospective clinical investigation (n=1495, ages 12-59) conducted to standardize the iPad test and construct a normative database. A subset (n=116) was used to assess test-retest reliability over a 7-21 day interval. Reliability was measured using Pearson's Product-Moment Correlation coefficients and intra-class correlation coefficients (ICCs) for composite and factor scores. Results demonstrated that iPad-based reliability is consistent with the predicate device's mouse/trackpad-based performance.
Technological Characteristics
Stand-alone software application; runs on general-purpose COTS hardware (desktops, laptops, iPads). Connectivity: internet-based access to remote central database. Software architecture: HTML5 web-based or native iPadOS application. Standards: ISO 14971 (risk management), IEC 62304 (software lifecycle).
Indications for Use
Indicated for individuals ages 12-80 to provide healthcare professionals with an objective measure of neurocognitive functioning as an aid in the assessment and management of concussion.
Regulatory Classification
Identification
The computerized cognitive assessment aid for concussion is a prescription device that uses an individual's score(s) on a battery of cognitive tasks to provide an indication of the current level of cognitive function in response to concussion. The computerized cognitive assessment aid for concussion is used only as an assessment aid in the management of concussion to determine cognitive function for patients after a potential concussive event where other diagnostic tools are available and does not identify the presence or absence of concussion. It is not intended as a stand-alone diagnostic device.
Special Controls
*Classification.* Class II (special controls). The special controls for this device are:(1) Software, including any proprietary algorithm(s) used by the device to arrive at its interpretation of the patient's cognitive function, must be described in detail in the software requirements specification (SRS) and software design specification (SDS). Software verification, validation, and hazard analysis must be performed.
(2) Clinical performance data must be provided that demonstrates how the device functions as an interpretation of the current level of cognitive function in an individual that has recently received an injury that causes concern about a possible concussion. The testing must:
(i) Evaluate device output and clinical interpretation.
(ii) Evaluate device test-retest reliability of the device output.
(iii) Evaluate construct validity of the device cognitive assessments.
(iv) Describe the construction of the normative database, which includes the following:
(A) How the clinical workup was completed to establish a “normal” population, including the establishment of inclusion and exclusion criteria.
(B) Statistical methods and model assumptions used.
(3) The labeling must include:
(i) A summary of any clinical testing conducted to demonstrate how the device functions as an interpretation of the current level of cognitive function in a patient that has recently received an injury that causes concern about a possible concussion. The summary of testing must include the following:
(A) Device output and clinical interpretation.
(B) Device test-retest reliability of the device output.
(C) Construct validity of the device cognitive assessments.
(D) A description of the normative database, which includes the following:
(
*1* ) How the clinical workup was completed to establish a “normal” population, including the establishment of inclusion and exclusion criteria.(
*2* ) How normal values will be reported to the user.(
*3* ) Representative screen shots and reports that will be generated to provide the user results and normative data.(
*4* ) Statistical methods and model assumptions used.(
*5* ) Whether or not the normative database was adjusted due to differences in age and gender.(ii) A warning that the device should only be used by health care professionals who are trained in concussion management.
(iii) A warning that the device does not identify the presence or absence of concussion or other clinical diagnoses.
(iv) A warning that the device is not a stand-alone diagnostic.
(v) Any instructions technicians must convey to patients regarding the administration of the test and collection of cognitive test data.
In combination with the general controls of the FD&C Act, the Computerized Cognitive Assessment Aid for Concussion is subject to the following special controls:
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September 16, 2023
Image /page/0/Picture/1 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which consists of the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG" in blue, with the word "ADMINISTRATION" underneath.
ImPACT Applications, Inc. Michael Zagorski Director of Regulatory Affairs 2140 Norcor Ave.. Suite 115 Coralville, Iowa 52241
Re: K231688
Trade/Device Name: ImPACT Version 4 Regulation Number: 21 CFR 882.1471 Regulation Name: Computerized cognitive assessment aid for concussion Regulatory Class: Class II Product Code: POM Dated: August 17, 2023 Received: August 17, 2023
Dear Michael Zagorski:
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 medical devices and radiation-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.
# Jay R. Gupta -S
Jay Gupta Assistant Director DHT5A: Division of Neurosurgical, Neurointerventional and Neurodiagnostic Devices OHT5: Office of Neurological and Physical Medicine 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) K231688
Device Name ImPACT Version 4
#### Indications for Use (Describe)
ImPACT is intended for use as a computer-based neurocogntive test battery to aid in the assessment and management of concussion.
ImPACT is a neurocognitive test battery that provides healthcare professionals with objective measure of neurocognitive functioning as an assessment aid and in the management of concussion in individuals ages 12-80.
Type of Use (Select one or both, as applicable)
| <span style="font-family: Arial;"> <span style="font-size: 10pt;"> <span style="font-style: normal;"> <span style="font-variant: normal;"> <span style="font-weight: normal;"> <span> <span style="letter-spacing: normal;"> <span style="orphans: 2;"> <span style="text-transform: none;"> <span style="white-space: normal;"> <span style="widows: 2;"> <span style="word-spacing: 0px;"> <span style="display: inline !important; float: none; background-color: transparent;"> <input checked="true" type="checkbox"/> Prescription Use (Part 21 CFR 801 Subpart D) </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> |
|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <span style="font-family: Arial;"> <span style="font-size: 10pt;"> <span style="font-style: normal;"> <span style="font-variant: normal;"> <span style="font-weight: normal;"> <span> <span style="letter-spacing: normal;"> <span style="orphans: 2;"> <span style="text-transform: none;"> <span style="white-space: normal;"> <span style="widows: 2;"> <span style="word-spacing: 0px;"> <span style="display: inline !important; float: none; background-color: transparent;"> <input type="checkbox"/> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> </span> |
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Image /page/3/Picture/0 description: The image is a logo for ImPACT Applications, Inc. The logo features a stylized image of a human head in profile, with a brain depicted inside the head. To the right of the head is the text "ImPACT" in a sans-serif font, with the "Im" in a dark blue color and the "PACT" in a lighter blue color. Below the word "ImPACT" is the text "APPLICATIONS, INC." in a smaller, sans-serif font.
Prepared Date: June 08, 2023
#### Submitter Information:
| Company: | ImPACT Applications, Inc.<br>2140 Norcor Ave., Suite 115<br>Coralville, IA 52241 |
|------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|
| Contract Person: | Michael Zagorski<br>Director of Regulatory Affairs<br>ImPACT Applications, Inc.<br>Tel: 412-567-8400 ext. 939<br>Email: mzagorski@impacttest.com |
| Device Information: | |
| Trade Name: | ImPACT® Version 4 |
| Classification Name: | Computerized cognitive assessment aid for concussion |
| Device Classification: | Class II |
| Product Code: | POM, 21 CFR 882.1471 |
| Panel: | Neurology |
| Predicate Device: | ImPACT, K202485 |
| Reason for submission: | Device Modifications |
#### Indications for Use:
lmPACT Version 4 is intended for use as a computer-based neurocognitive test battery to aid in the assessment and management of concussion. ImPACT Version 4 is a neurocognitive test battery that provides healthcare professionals with objective measure of neurocognitive functioning as an assessment aid and in the management of concussion in individuals ages 12-80.
#### Device Description:
ImPACT® (Immediate Post-Concussion Assessment and Cognitive Testing) is a computer-based neurocognitive test battery that allows healthcare professionals to conduct a series of tests on individuals to gather data related to the neurocognitive functioning of the test subject. This test battery measures various aspects of neurocognitive functioning including reaction time, memory, attention, spatial processing speed, and records symptoms of a test subject. ImPACT Version 4 is similar to the paper-and-pencil neuropsychological tests that have long been used by psychologists to evaluate cognition, and memory related to a wide variety of disabilities.
The device is not intended to provide a direct diagnosis or a return-to-activity recommendation, it does not directly manage or provide any treatment recommendations, and any interpretation of the results should be made only by qualified healthcare professional. The neurocognitive assessment represents only one aspect of assisting healthcare professionals in evaluating and managing individuals with cognitive function impairment related to TBI (concussion).
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Image /page/4/Picture/1 description: The image is a logo for ImPACT Applications, Inc. The logo features a stylized image of a human head with a brain inside, followed by the text "ImPACT" in blue, with "Applications, Inc." written in smaller letters below. The logo is simple and professional, and it is likely used to represent a company that specializes in brain-related products or services.
#### Device Modifications:
The New Device, ImPACT Version 4, is substantially equivalent to the Predicate Device (ImPACT Version 4) cleared under K202485. Both devices have the same intended use as a computerized neurocognitive test to aid in the assessment and management of concussion. They are also identical in terms of technological characteristics as both are stand-alone software applications using a general-purpose computing platform to electronically record objective performance measurements (speed and accuracy) as the test taker responds to stimuli presented on the screen via input devices. Further, there are no changes to the functionality or to the design of the neurocognitive test battery; all tasks, stimuli, and captured information remain identical to the predicate.
There are no changes to the intended use, use environment characteristics, or the conditions assessed.
The differences between the new device and the predicate include:
- 1. normative database for iPad for ages 12-59;
- 2. minor software modifications to support use of touchscreen devices, to improve maintainability, cybersecurity and enhance user experience.
| Table 1. Predicate Comparison. | | | |
|--------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------|
| Characteristic | Predicate Device: ImPACT Version 4<br>(K202485) | Reference Device: ImPACT<br>Quick Test (K170551) | New Device: ImPACT<br>Version 4 (rev 4.1) |
| Intended Use | ImPACT Version 4 is intended for use as a<br>computer-based neurocognitive test battery to<br>aid in the assessment and management of<br>concussion.<br><br>ImPACT Version 4 is a neurocognitive test<br>battery that provides healthcare professionals<br>with objective measure of neurocognitive<br>functioning as an assessment aid and in the<br>management of concussion in individuals ages<br>12-80. | ImPACT Quick Test is<br>intended for use as a<br>computerized cognitive test<br>to aid in the assessment and<br>management of concussion in<br>individuals ages 12-70. | Same as Predicate Device |
| Patient Population | 12-80 | 12-70 | Same as Predicate Device |
| Use Environment | Unsupervised and supervised environment for<br>baseline testing.<br>Supervised environment only for post-injury<br>testing. | Supervised environment only<br>for post-injury testing. | Same as Predicate Device |
| Neurocognitive test<br>battery | 1. Demographic data, (age, gender,<br>concussion history, relevant medical<br>information)<br>2. Symptoms list and questionnaires<br>3. Neurocognitive test battery consisting of 6<br>modules:<br>Module 1: Word Memory and Delayed<br>Memory Recognition Module 2: Design Memory and Delayed<br>Design Recognition Module 3: X's and O's Module 4: Symbol Matching Module 5: Color Match Module 6: Three Letter Memory | 1. Basic Demographic data,<br>(age, gender)<br>2. Observed Signs and<br>Reported Symptoms list<br>3. Neurocognitive test<br>consisting of 3 modules:<br>Module 1: Symbol<br>Match Module 2: Three<br>Letters Module 3: Eye<br>Tracker | Same as Predicate Device |
| Results | 1. Recording and scoring of symptoms<br>2. Raw Scores, Composite Scores, and<br>validity supporting indexes.<br>3. Normative data | 1. Recording and scoring of<br>symptoms<br>2. Composite Scores<br>3. Normative data | Equivalent.<br>Added normative database<br>for tests taken on an iPad |
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| | ImPACT Version 4.1 - Traditional 510(k) Summary | | |
|-------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|
| Suggest options or<br>treatment | No | No | Same as predicate |
| Platform | Stand-alone software running on general<br>purpose commercial off-the-shelf personal<br>computers (desktops, laptops), with a modern<br>web browser connected to the internet. | Apple iPad | Equivalent.<br>The new device adds option<br>to administer the test on an<br>iPad. |
| Software Technology | Software application, written in HTML5,<br>accessed via standard web browser | Software application native<br>to iPadOS | Equivalent.<br>On an iPad, the test can be<br>accessed through a web<br>browser (like the predicate)<br>or native iPadOS application |
| Stimulus presentation | Information and stimulus displayed on a<br>desktop or laptop computer screen | Information and stimulus<br>displayed on an iPad | New device adds option to<br>use iPad (stimulus displayed<br>on iPad screen) |
| Stimulus capture (test<br>taker response) | Device uses computer peripherals to capture te<br>taker's response | Device uses iPad touchscreen<br>to capture test taker's<br>response | Equivalent.<br>New device captures<br>responses via touchscreen |
| Data Storage | Remote central database | Remote central database | Same as predicate |
| Standards Used | ISO 14971 and IEC 62304 | ISO 14971 and IEC 62304 | Same as predicate |
### Summary of Performance Testing:
#### Software Verification and Validation.
lmPACT Version 4 software was developed, validated, and documented in accordance with IEC 62304 and FDA Guidance "General Principles of Software Validation." Software verification activities including code reviews, design reviews, evaluations, analyses, traceability assessment, and manual testing were performed in accordance with standards and guidance documents to demonstrate device performance and functionality. All tests met the required acceptance criteria:
- Code reviews: peer review of all modified code performed by software developers.
- . Walkthroughs and design reviews of mock-ups and prototypes by a cross-functional team including Developers, Quality Assurance, Regulatory Affairs function, Clinical experts, Company Management, and other stakeholders.
- Software Verification and Validation testing including automated and manual testing.
- Regression Testing: Comprehensive end testing of the test battery to verify that the modifications ● did not affect the existing functionality.
#### Risk Management:
Risk Management activities were conducted in accordance on ISO 14971 assure that all risk related to use of computerized neurocognitive test, including use related risks and cybersecurity risks, are appropriately controlled. All control measures were verified and found to be effective. All individual risk is acceptable. The new device has the same safety characteristics as the Predicate Device and same risk profile.
#### Clinical Data:
The 510(k) included the results of clinical studies. The results of these studies demonstrate the New Device provides a reliable measure of cognitive function to aid in assessment and management of concussion and is therefore substantially equivalent to the Predicate Device.
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To support the test administration on iPad and to provide a normative database, a prospective clinical investigation was conducted to collect data to: (i) standardize the test and construct the normative database for tests performed on iPad; and (ii) demonstrate test-retest reliability.
#### i. Standardization and Normative sample
The normative sample 1495 subjects ages 12-59 (670 males, 825 females) was collected prospectively from 4 different sites with study participants across the US. Data collection took place in 2022 and 2023. The sites were approved to collected data by two ethics boards, Advarra IRB Services (for supervised testing) and St. Joseph's University in Philadelphia (for unsupervised remote testing). All subjects met theappropriate inclusion criteria, which are the same as those used for creating normative tables for the mouse and trackpad in the predicate device. Data for the new sample was conducted in mixed environment including supervised and unsupervised testing to best approximate the real-world performance.
All subjects had to meet the following inclusion criteria to be eligible: (i) test administered on iPad; (ii) age: 12-59; (iii) primary English speaking or fluent in English; (iv) not suffering from a concussion or being treated for a concussion in the past 6 months; (v) no known physical, neurological, behavioral or psychological impairment that would affect their ability to perform the test; (vi) hearing or vision impairments that have been corrected outside of normal limits (e.g. prescription glasses, hearing aid), and (vii) a signed IRB approved consent form.
#### ii. Test-retest Reliability
Over the years, there have been a sizeable body of literature that has documented the reliability of ImPACT. In general, ImPACT has been found to be highly reliable across time. As the items of the test and the six modules have not changed, this literature is relevant to this version of ImPACT as well as all previous version (predicates). Summary of these studies is provided in the device labeling.
The test-retest reliability was also calculated in a sample of participants using the iPad version of the test. Test takers were 116 individuals ages 12-59 from the standardization sample who completed an initial baseline assessment using an iPad, and a second baseline with a between test interval ranging of 7 to 21 days (mean=12.7 days) SD=4.3 days). Test-takers were 40 males (34.5%, mean age 26.6, SD=14.2 years) and 76 females (65.5%, mean age 28.9, SD=14.4 years), with no significant age difference between based on gender (p=.40). Test-retest reliability was calculated Pearson's Product-Moment Correlation coefficients as well as intra-class correlation coefficients (ICCs) for the ImPACT Composite Scores as well as Two Factor Scores. Pearson's correlations and ICCs are consistent with those from the test-retest coefficients obtained using Mouse and Trackpad inputs of the predicate device.
## Substantial Equivalence Conclusion:
The differences between the two devices described above do not affect the safety or effectiveness of ImPACT Version 4.1 for its intended use and do not raise new questions of safety and effectiveness, which was demonstrated through risk management and performance testing including software verification and validation, clinical investigations and non-clinical assessments. Therefore, ImPACT Version 4.1 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.