K221904 · Ge Medical Systems Information Technologies, Inc. · MHX · Dec 20, 2022 · Cardiovascular
Device Facts
Record ID
K221904
Device Name
EK12 V2 Algorithm
Applicant
Ge Medical Systems Information Technologies, Inc.
Product Code
MHX · Cardiovascular
Decision Date
Dec 20, 2022
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.1025
Device Class
Class 2
Attributes
Software as a Medical Device, Pediatric
Indications for Use
EK12 v2 analyzes 10 or more seconds of a previously acquired electrocardiogram (ECG) from physiological ECG signal recording devices for rhythm and measurements. EK12 is used to create reports intended for use by a Qualified Medical Professional, including a trained ECG Technician operating within Independent Diagnostic Testing Facility (IDTF) requirements and performance standards for the review and assessment of an ECG. EK12 is indicated for use on adults and pediatric patients older than 2 years. The device is intended for use in an IDTF or a professional medical facility, such as a hospital, clinic, or physician's office.
Device Story
Software-only algorithm; analyzes 10+ seconds of previously acquired ECG signals; performs rhythm analysis and measurements; generates reports for qualified medical professionals/technicians. Used in IDTFs, hospitals, clinics, or physician offices. Operates as part of a host system; outputs include text files with pass/fail status, rhythm/measurement evaluations, event logs (arrhythmias/noise), and QRS detection annotations. Does not perform active patient monitoring; no real-time alarms or alerts. Benefits include automated ECG interpretation and standardized reporting to support clinical decision-making.
Clinical Evidence
No clinical studies were required. Substantial equivalence is supported by non-clinical bench testing, including software verification, performance testing, and compliance with AAMI/ANSI EC57:2012 for cardiac rhythm and ST-segment measurement algorithms.
Technological Characteristics
Software-only algorithm; utilizes 12SL ECG analysis technology. Inputs: ECG signal data (WFDB format), optional patient age/gender, optional lead names. Outputs: Tab-delimited text files and binary WFDB annotation files. Complies with AAMI/ANSI EC57:2012. Designed for integration into host ECG recording systems.
Indications for Use
Indicated for adults and pediatric patients older than 2 years requiring analysis of previously acquired ECG recordings for rhythm and measurements in professional medical facilities or IDTFs.
Regulatory Classification
Identification
The arrhythmia detector and alarm device monitors an electrocardiogram and is designed to produce a visible or audible signal or alarm when atrial or ventricular arrhythmia, such as premature contraction or ventricular fibrillation, occurs.
Special Controls
*Classification.* Class II (special controls). The guidance document entitled “Class II Special Controls Guidance Document: Arrhythmia Detector and Alarm” will serve as the special control. See § 870.1 for the availability of this guidance document.
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: a symbol on the left and the FDA name and title on the right. The symbol on the left is a stylized representation of a human figure, while the text on the right reads "FDA U.S. FOOD & DRUG ADMINISTRATION" in blue letters.
December 20, 2022
GE Medical Systems Information Technologies, Inc. Shlomi Deler Regulatory Affairs Director 9900 Innovation Drive Wauwatosa, Wisconsin 53226
Re: K221904
Trade/Device Name: EK12 V2 Algorithm Regulation Number: 21 CFR 870.1025 Regulation Name: Monitor, Physiological, Patient(With Arrhythmia Detection Or Alarms) Regulatory Class: Class II Product Code: MHX Dated: November 21, 2022 Received: November 22, 2022
Dear Shlomi Deler:
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.
{1}------------------------------------------------
You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting 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-regulatoryinformation/postmarketing-safety-reporting-combination-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,
Shruti N. Mistry -S
for
Jennifer Shih Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
## Indications for Use
510(k) Number (if known) K221904
Device Name EK12 V2 Algorithm
#### Indications for Use (Describe)
EK12 V2 analyzes 10 or more seconds of a previously acquired electrocardiogram (ECG) from physiological ECG signal recording devices for rhythm and measurements.
EK12 is used to create reports intended for use by a Qualified Medical Professional, including a trained ECG Technician operating within Independent Diagnosic Testing Facility (IDTF) requirements and performance standards for the review and assessment of an ECG.
EK 12 V2 is indicated for use on adults and pediatric patients older than 2 years. The device is intended for use in an IDTF or a professional medical facility, such as a hospital, clinic, or physician's office.
Type of Use (Select one or both, as applicable)X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
Image /page/3/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' in a stylized script, enclosed within a circular frame. The frame has wave-like designs on the top and bottom, giving it a dynamic appearance. The logo is presented in a blue color.
## 510(k) Summary
| | In accordance with 21 CFR 807.92 the following summary of information is provided: |
|----------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Date: | 20-June-2022 |
| Submitter: | GE Medical Systems Information Technologies, Inc. |
| | 9900 Innovation Drive |
| | Wauwatosa, WI 53226 |
| Primary Contact Person: | Shlomi Deler |
| | Regulatory Affairs Director |
| | GE Medical Systems Information Technologies, Inc. |
| | Phone: +(972) 544301056 |
| | |
| Secondary Contact Person: | Michael Petrini |
| | Regulatory Affairs Executive |
| | GE Medical Systems Information Technologies, Inc. |
| | Phone: +1(414)581-8987 |
| Device Trade Name: | EK12 V2 Algorithm |
| Common/Usual Name: | Arrhythmia Detection Algorithm |
| Classification Names: | Monitor, Physiological, Patient (With Arrhythmia Detection or<br>Alarms) |
| Product Code: | MHX , 21 CFR 870.1025 |
| Predicate Device(s): | Ek12 Algorithm (K170155) |
| Reference Device: | 12SL ECG Analysis Program (K141963) |
| Device Description: | EK12 V2 algorithm is a software only product that provides<br>computerized measurements from the ECG parameter data<br>acquired by the host device. EK12 V2 analyzes ECG recordings for<br>rhythm and measurements that is deployed as part of a host<br>system used to generate ECG reports |
| Intended Use: | EK12 v2 analyzes 10 or more seconds of a previously acquired<br>electrocardiogram (ECG) from physiological ECG signal recording<br>devices for rhythm and measurements.<br>EK12 is used to create reports intended for use by a Qualified<br>Medical Professional, including a trained ECG Technician operating<br>within Independent Diagnostic Testing Facility (IDTF) requirements<br>and performance standards for the review and assessment of an<br>ECG.<br>EK12 is indicated for use on adults and pediatric patients older than<br>2 years.<br>The device is intended for use in an IDTF or a professional medical<br>facility, such as a hospital, clinic, or physician's office. |
| Technology: | The EK12 V2 Algorithm employs the same fundamental scientific<br>technology as its predicate and the reference devices. |
| Determination of Substantial<br>Equivalence: | The EK12 V2 Algorithm is substantially equivalent to the predicate<br>Ek12 Algorithm (K170155) and the reference device 12SL ECG<br>Analysis Program (K141963) as described in the table below: |
{4}------------------------------------------------
Image /page/4/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' intertwined in a stylized script, enclosed within a blue circle. There are three water droplet-like shapes evenly spaced around the circle's perimeter, giving the logo a distinctive and recognizable appearance.
{5}------------------------------------------------
Image /page/5/Picture/1 description: The image shows the logo for General Electric (GE). The logo is a blue circle with the letters "GE" in white inside. The letters are stylized and connected, and the circle has a white border with a swirling pattern. The logo is simple and recognizable, and it is associated with a well-known company.
| Feature /<br>Function | Proposed Device<br>EK12v2 | Predicate Device<br>EK12v1 (K170155) | Change Explanation /<br>Notes |
|-------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------|
| Intended Use | EK12 analyzes 10 or more seconds of a<br>previously acquired electrocardiogram (ECG)<br>from physiological ECG signal recording<br>devices for rhythm and measurements.<br><br>EK12 is used to create reports intended for<br>use by a Qualified Medical Professional,<br>including a trained ECG Technician operating<br>within Independent Diagnostic Testing Facility<br>(IDTF) requirements and performance<br>standards for the review and assessment of<br>an ECG.<br><br>EK12 is indicated for use on adults and<br>pediatric patients older than 2 years.<br><br>The device is intended for use in an IDTF or a<br>professional medical facility, such as a<br>hospital, clinic, or physician's office. | EK12 analyzes ten or more seconds of a<br>previously acquired electrocardiogram (ECG)<br>from physiological ECG signal recording<br>devices for rhythm and measurements.<br><br>EK12 is used to create reports intended for<br>use by a Qualified Medical Professional,<br>including a trained ECG Technician operating<br>within Independent Diagnostic Testing Facility<br>(IDTF) requirements and performance<br>standards for the review and assessment of<br>an ECG.<br><br>EK12 is indicated for use on adults and<br>pediatric patients older than 2 years.<br><br>The device is intended for use in an IDTF or a<br>professional medical facility, such as a<br>hospital, clinic, or doctor's office. | Identical |
| Indications for<br>Use | EK12 is software algorithm that analyzes ECGs<br>for rhythm and measurements that is<br>deployed as part of a system used to generate<br>ECG reports / findings. | EK12 is software algorithm that analyzes ECGs<br>for rhythm and measurements that is<br>deployed as part of a system used to generate<br>ECG reports / findings. | Identical |
| Contraindications | EK12 cannot be used for active patient<br>monitoring since it can only analyze<br>prerecorded ECG signals that are at least 10<br>seconds long. It does not provide any time-<br>sensitive information, continuous display of<br>information, alarms, or alerts intended to<br>alert a caregiver to take an immediate clinical<br>action. | EK12 cannot be used for active patient<br>monitoring since it can only analyze<br>prerecorded ECG signals that are at least 10<br>seconds long. It does not provide any time-<br>sensitive information, continuous display of<br>information, alarms, or alerts intended to<br>alert a caregiver to take an immediate clinical<br>action. | Identical |
| Patient<br>Population | EK12 is indicated for use on adults and<br>pediatric patients older than 2 years. | EK12 is indicated for use on adults and<br>pediatric patients older than 2 years. | Identical |
| Use Environment | The device is intended for use in an IDTF or a<br>professional medical facility, such as a<br>hospital, clinic, or physician's office. | The device is intended for use in an IDTF or a<br>professional medical facility, such as a<br>hospital, clinic, or doctor's office. | Identical |
| Result | An output text file containing the pass/fail<br>status (result) of the analysis | An output text file containing the pass/fail<br>result of the analysis | Identical |
| Final report | An output text file containing the final<br>evaluation results for rhythms,<br>measurements, and other information. | An output text file containing the final<br>evaluation results for rhythms,<br>measurements, and other information. | Identical |
| Event log<br>detected<br>arrhythmias,<br>noise) | A column-oriented tab-delimited output text<br>file annotating the beginning and end of all<br>detected rhythm and noise events. | A column-oriented tab-delimited output text<br>file annotating the beginning and end of all<br>detected rhythm and noise events. | Identical |
| QRS detections | Two output files:<br>1. A column-oriented tab-delimited output<br>text file listing annotations of QRS detection<br>times and beat classification. | Two output files:<br>1. A column-oriented tab-delimited output<br>text file listing annotations of QRS detection<br>times and beat classification. | Identical |
| Feature / Function | Proposed Device<br>EK12v2 | Predicate Device<br>EK12v1 (K170155) | Change Explanation / Notes |
| | 2. A binary file in the WFDB annotation file<br>format containing QRS detection times and<br>beat classification. | 2. A binary file in the WFDB-format<br>annotation file format containing QRS<br>detection times and beat classification. | |
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' intertwined in a stylized script, enclosed within a circular border. The color of the logo is a light blue.
# GE Healthcare 510(k) Premarket Notification Submission
### Substantial Equivalence to the reference device, 12SL ECG Analysis Program (K141963):
| Feature /<br>Function | Proposed:<br>EK12v2 | Reference device: 12SL ECG Analysis<br>Program (K141963) | Discussion of Differences |
|-----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Patient age and<br>gender | Optional inputs. If present, they<br>are contained within the WFDB<br>input record. When present,<br>they are validated and passed<br>directly to the 12SL analysis. If<br>not present, the value for<br>unknown age and/or gender are<br>provided to the 12SL analysis | Required inputs which are used in the ECG<br>interpretation.<br>Age is provided to the program in years,<br>an encoded value for age less than one<br>year, or an encoded value for age<br>unknown.<br>Gender is provided to the program as<br>one of male, female, or unknown. | Substantial equivalent<br>The proposed EK12 V2 adds support for the<br>optional input of patient age and/or gender. |
| Identification of<br>ECG leads | Lead names are an optional<br>component of the input WFDB<br>input record and are an optional<br>input of EK12 V2. Any input<br>signals containing a lead name<br>from the set {I, II, V1, V2, V3, V4,<br>V5, V6} will be treated as that<br>lead in the internal 12SL analysis | Assumes the first 8 channels are ECG<br>leads I, II, V1, V2, V3, V4, V5, V6.<br>Measurements are provided for leads<br>after the first 8 channels but are<br>otherwise not used in any interpretation<br>statements with the exception of lead<br>V4r, which if present, will be examined for<br>right ventricular involvement (ST<br>elevation) if an acute inferior infarct is<br>detected | Substantial equivalent<br>The proposed EK12 V2 adds support for the<br>optional identification of ECG leads. |
| 12SL rhythm<br>statement<br>trends | A column-oriented tab-delimited<br>text file that provides the 12SL<br>interpretation statement codes<br>for rhythm statements from each<br>10-second 12SL analysis at<br>intervals of every 5 seconds. That<br>is, each consecutive analysis has<br>5 seconds of overlapping<br>waveform.<br>The 12SL interpretation<br>statement codes are censored to<br>remove all statement codes not<br>related to rhythm interpretation. | All output is contained in an in-memory<br>data structure; the host product is<br>responsible for creation of the output<br>record and/or report. There is no concept<br>of "trends" in a single execution of the<br>12SL analysis.<br>The method of creating the 12SL<br>statements are identical to the reference<br>device for the "12SL interpretation<br>statement codes" as described above | Substantial equivalent<br>Interpretation statement codes forming the<br>overall ECG interpretation is identical to the<br>reference 12SL ECG Analysis Program<br>(K141963).<br>The proposed EK12 v2 adds the export of<br>the rhythm statement codes to an output<br>file. |
| Median<br>complex<br>waveform<br>trends | A column-oriented tab-delimited<br>text file that provides the median<br>complexes for each supplied lead<br>from each 10-second 12SL<br>analysis at intervals of every 5<br>seconds. That is, each<br>consecutive analysis has 5<br>seconds of overlapping<br>waveform | All output is contained in an in-memory<br>data structure; the host product is<br>responsible for creation of the output<br>record and/or report. There is no concept<br>of "trends" in a single execution of the<br>12SL analysis.<br>The method of creating the 12SL median<br>complexes are identical to the reference<br>device for the "12SL median complexes"<br>as described above | Substantial equivalent<br>Median complexes were formed as part of<br>the internal 12SL analysis and were the basis<br>for the per-lead measurements provided in<br>the predicate EK12 v1 (K170155). The<br>method for median waveform formation is<br>identical to the reference device 12SL ECG<br>Analysis Program (K141963).<br>The proposed EK12 v2 adds the export of<br>the median complexes to an output file. |
{7}------------------------------------------------
Image /page/7/Picture/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'g' and 'e' intertwined in a stylized script, enclosed within a blue circle. There are also several white teardrop shapes surrounding the circle, giving the impression of movement or energy.
| Performance standards: | The EK12 V2 Algorithm complies with the<br>voluntary consensus standard AAMI/ANSI EC57: 2012 –<br>Testing And Reporting Performance Results Of Cardiac<br>Rhythm and St-Segment Measurement Algorithms. |
|--------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Determination of<br>Substantial Equivalence:<br>tested | Summary of Non-Clinical Tests<br>The EK12 V2 Algorithm program was designed and<br>for compliance with applicable clauses of the following<br>voluntary standard:<br><br>AAMI/ANSI EC57: 2012 – Testing And Reporting<br>Performance Results Of Cardiac Rhythm and St-Segment<br>Measurement Algorithms. (Cardiovascular)<br><br>The following quality assurance measures were applied to<br>the development of the system:<br>- Risk Analysis<br>- Requirements Reviews<br>- Code Inspections<br>- Software Verification Testing<br>- Performance testing |
| Summary of Clinical Tests: | The subject of this premarket submission, EK12 V2<br>Algorithm, did not require clinical studies to support<br>substantial equivalence. |
| Conclusion: | GE Healthcare considers the EK12 V2 Algorithm to be as<br>safe, as effective, and performance is substantially<br>equivalent to the predicate device. |
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.