Deep neural networks with adaptive filters and signal processing
Mean interval difference ≤ ± 20ms and standard deviation of interval difference ≤ 25ms
—
Training: >750K ECGs from >250K patients. Validation: Dataset 1 (>34K ECGs) and Dataset 2 (226 ECGs).
—
—
—
Indications for Use
AliveCor QT Service analyses 30 seconds of a previously acquired electrocardiogram (ECG) from AliveCor designed 6-Lead ambulatory ECG devices analyzed as normal sinus rhythm for QT interval measurements. AliveCor QT Service is intended for use in a professional medical facility, such as a hospital, clinic, or doctor's office by a qualified health care professional, including trained ECG technician. AliveCor QT Service is indicated for use on adult patients (older than 18 years). The device has not been tested for and is not intended for pediatric use. The service is not intended for use in life supporting, or sustaining systems, or continuous ECG monitors, or cardiac alarm devices, or OTC use only devices.
Device Story
Cloud-based SaMD; inputs 30-second ECG segments from AliveCor 6-Lead ambulatory devices (e.g., KardiaMobile 6L); integrates KardiaAI (K201985) to confirm Normal Sinus Rhythm; utilizes adaptive filters, signal processing, and deep neural networks (DNN) to compute QT and heart-rate corrected QTc intervals (Bazett/Fridericia formulas); accessed by healthcare professionals via REST-based API from MDDS or clinical software; output provides interval measurements to assist clinicians in cardiac assessment; intended for professional clinical settings; does not provide real-time monitoring or alarms.
Clinical Evidence
No clinical testing was required. Bench testing only: validated algorithm performance using >750K ECGs from >250K patients for training, and >34K ECGs for validation. Performance verified against expert-annotated 12-lead ECG reference intervals, achieving mean interval difference ≤ ±20ms and standard deviation ≤ 25ms.
Technological Characteristics
Cloud-based SaMD; utilizes adaptive filtering, signal processing, and deep neural networks (DNN). Computes QT and QTc (Bazett/Fridericia) intervals. Connectivity via REST-based API. Software-only form factor; no direct patient interface. Operates on previously recorded ECG data.
Indications for Use
Indicated for adult patients (older than 18 years) to analyze 30 seconds of previously acquired ECGs from AliveCor 6-Lead ambulatory devices, specifically those analyzed as normal sinus rhythm, to provide QT and QTc interval measurements. Not for pediatric use, life-supporting/sustaining systems, continuous monitoring, cardiac alarms, or OTC use.
Regulatory Classification
Identification
A programmable diagnostic computer is a device that can be programmed to compute various physiologic or blood flow parameters based on the output from one or more electrodes, transducers, or measuring devices; this device includes any associated commercially supplied programs.
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Image /page/0/Picture/0 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 is a blue square with the letters "FDA" in white. To the right of the square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
May 11, 2022
AliveCor, INC. % Prabhu Raghavan Principal Consultant MDQR, LLC 189 N. Bernardo Ave. Suite 100 Mountain View, California 94043
Re: K212662
Trade/Device Name: AliveCor QT Service Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable diagnostic computer Regulatory Class: Class II Product Code: DQK, DPS
Dear Prabhu Raghavan:
The Food and Drug Administration (FDA) is sending this letter to notify you of an administrative change related to your previous substantial equivalence (SE) determination letter dated April 26, 2022. Specifically, FDA is updating this SE Letter (e.g., typo in correspondent address) as an administrative correction.
Please note that the 510(k) submission was not re-reviewed. For questions regarding this letter please contact Jennifer Shih Kozen, OHT2: Office of Cardiovascular Devices, 301-796-5813, Jennifer.Shih(@fda.hhs.gov.
Sincerely,
# Jennifer W. Shih -S
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
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Image /page/1/Picture/0 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 is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
April 26, 2022
AliveCor, Inc. % Prabhu Raghavan Principal Consultant MDQR, LLC 444 Castro Street, Suite 600 Mountain View, California 94041
Re: K212662
Trade/Device Name: AliveCor QT Service Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable Diagnostic Computer Regulatory Class: Class II Product Code: DQK, DPS Dated: March 25, 2022 Received: March 28, 2022
Dear Prabhu Raghavan:
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.
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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 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device (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,
# Jennifer W. Shih -S
Jennifer Shih Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Ouality Center for Devices and Radiological Health
Enclosure
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#### Indications for Use
510(k) Number (if known) K212662
Device Name AliveCor QT Service
Indications for Use (Describe)
AliveCor QT Service analyses 30 seconds of a previously acquired electrocardiogram (ECG) from AliveCor designed 6-Lead ambulatory ECG devices analyzed as normal sinus rhythm for QT interval measurements.
Alive or OT Service is intended for use in a professional medical facility, such as a hospital, clinic, or doctor's office by a qualified health care professional, including trained ECG technician.
Alive Or OT Service is indicated for use on adult patients (older than 18 years). The device has not been tested for and is not intended for pediatric use. The service is not in life supporting, or sustaining systems, or continuous ECG monitors, or cardiac alarm devices, or OTC use only devices.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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## 510(k) Summary for K212662
Prepared in accordance with the requirements of 21 CFR 807.92
#### Submitter Information [807.92(a)(1)]
| Submitter/Applicant | AliveCor, Inc.<br>189 N. Bernardo Ave.<br>Mountain View, CA 94043<br>Phone: 650-396-8553<br>Fax: 650-282-7932 |
|--------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Primary Contact Person | Prabhu Raghavan<br>Regulatory Consultant for AliveCor<br>MDQR, LLC<br>189 N. Bernardo Ave.<br>Mountain View, CA 94043<br>Phone: 408-316-5707<br>Fax: 650-282-7932<br>Email: prabhu@mdqr.solutions |
| Submitter and<br>Secondary Contact Person | Susan Noriega<br>VP of Regulatory Affairs, Clinical Affairs and Quality<br>189 N. Bernardo Ave. Suite 100<br>Mountain View, CA 94043<br>Phone: 650-793-1966<br>Fax: 650-282-7932<br>Email: snoriega630@alivecor.com |
| Date Prepared | April 25, 2022 |
| Device Information [807.92(a)(2)] | |
| Trade Name<br>Common Name<br>Classification<br>Device Class<br>Product Code<br>Subsequent Product Code | AliveCor QT Service<br>Programmable diagnostic computer<br>21 CFR§870.1425<br>II<br>DQK, Computer, Diagnostic, Programmable<br>DPS, Electrocardiograph |
# Predicate Information [807.92(a)(3)]
| Predicate | K170155, GE EK12 Algorithm |
|------------------|----------------------------|
| Reference Device | K201985, AliveCor KardiaAI |
## Device Description [807.92(a)(4)]
AliveCor QT Service is a cloud-based Software as a Medical Device (SaMD) that is used to measure the QT and heart-rate corrected QT ("QTc") interval measurements from
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electrocardiograms (ECG) recorded from adult patients (older than 18 years) using AliveCordesigned 6-Lead ambulatory ECG devices. AliveCor QT Service provides QT and QTc interval measurements only on ECGs analyzed as Normal Sinus Rhythm by KardiaAI (K201985).
AliveCor QT Service is a prescription (Rx) use only device intended for use by qualified healthcare professionals, including trained ECG technicians. Healthcare professionals can access AliveCor OT Service over the internet from patient management and ECG storage Medical Device Data Systems (MDDS), or from other prescription-use only medical data software devices. These devices provide a previously recorded ECG from an AliveCor-designed 6-Lead ambulatory ECG device, such as the KardiaMobile 6L (K210753), in a compatible format using the AliveCor QT Service's REST-based application program interface (API). REST or REpresentational State Transfer is a software methodology that defines rules for creating web services to access resources over Hypertext Transfer Protocol (HTTP). AliveCor QT Service responds to the analysis request with the following measurements:
- QT interval, measured from the first 30 seconds of the ECG
- Heart-rate corrected QT (QTc) interval based on the Bazett's formula and the Fridericia's ● formula
AliveCor QT Service utilizes various internal algorithms including deep neural networks (DNN) to analyze an ECG to compute the QT interval. AliveCor QT Service also includes algorithms to compute the RR-interval, which is used to provide both the Bazett's and Fridericia corrected OTc intervals. These algorithms were trained and validated on datasets with ECGs from patients representative of the device's intended use. The training included more than 750K ECGs from over 250K patients. The training dataset included more than 200K ECGs with approximately 49% data from females, approximately 70% from subjects who were reported as whites, 3% nonwhites, and 27% from those who did not report their race The validation was conducted on two datasets. The first dataset included more than 34K ECGs with approximately 51% data from females, approximately 80% from subjects who were reported as whites, 3.6% non-whites, and 1 7% from those who did not report their race. The second dataset included 226 ECGs with approximately 60% data from females, approximately 87% from subjects who were reported as whites, 3.2% non-whites, and 10% from those who did not report their race.
### Indications for use [807.92(a)(5)]
AliveCor QT Service analyses 30 seconds of a previously acquired electrocardiogram (ECG) from AliveCor designed 6-Lead ambulatory ECG devices analyzed as normal sinus rhythm for QT interval measurements.
AliveCor OT Service is intended for use in a professional medical facility, such as a hospital, clinic, or doctor's office by a qualified health care professional, including trained ECG technician.
AliveCor QT Service is indicated for use on adult patients (older than 18 years). The device has not been tested for and is not intended for pediatric use. The service is not intended for use in life supporting, or sustaining systems, or continuous ECG monitors, or cardiac alarm devices, or OTC use only devices.
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510(k) Summary for K212662, AliveCor QT Service AliveCor, Inc.
#### Substantial Equivalence
The Substantial Equivalence utilizes one predicate device and one reference device, namely:
- 1. Predicate: K170155, EK12 Algorithm, that analyzes ECGs to provide rhythm and measurements including QT interval measurements.
- 2. Reference Device: K201985, KardiaAI, which is an API library that analyzes ECGs from AliveCor-designed ECG devices and provides rhythm analysis. The reference device, like the subject device is used to analyze ECGs recorded from AliveCordesigned ambulatory ECGs including the K210753, KardiaMobile 6L, an AliveCordesigned 6-Lead ambulatory ECG device that the subject device is compatible with. The subject device also incorporates this reference device internally to perform rhythm analysis to determine if the provided ECG is Normal Sinus Rhythm.
AliveCor QT Service has the same intended use as the predicate device, K170155, GE EK12 Algorithm. Both devices analyze prerecorded multi-lead ECG signals and measure the QT and heart-rate corrected OT intervals. Both devices are intended to be used by qualified health care professional, including trained ECG technicians. The subject device additionally shares key safety and technological characteristics with the predicate device: both devices are SaMDs that may not be used for active patient monitoring and do not provide any time sensitive information, continuous display of information, alarms, or alerts intended to alert a caregiver to take an immediate clinical action. Both devices do not directly interface with the patient, and both are provided digital ECG samples and output digital information containing the requested analysis. Both devices are provided in the form of a service. The predicate is additionally provided as a compiler linked library and as a command-line interface application.
The subject device utilizes a mix of algorithms that utilize adaptive filters, and features extracted using signal processing to compute a representative ECG beat, which is then used by a deep neural network to compute the QT interval measurement1. The predicate computes a representative beat and uses ECG signal processing, pattern recognition, regression methods, as well as modeling of cardiac action potentials to establish the key time points in the overall ECG and thus compute the QT interval2. Both devices account for poor T-waves in the ECG. Any differences between the technological characteristics of the interval measurement algorithms have been evaluated through performance testing and do not raise different questions of safety or effectiveness. Differences between the subject device and the predicate have been tested to ensure that the device meets its intended use. Therefore, AliveCor QT Service is substantially equivalent to the predicate device.
<sup>1</sup> Giudicessi, Schram, et al. Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device. Circulation. 2021 Mar 30;143(13):1274-1286. doi: 10.1161/CIRCULATIONAHA.120.050231. Epub 2021 Feb 1.
<sup>2</sup> Xue J. Q. (2009). Robust QT interval estimation--from algorithm to validation. Annals of nominvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 14 Suppl 1(Suppl 1), S35-S41. https://doi.org/10.1111/j.1542-474X.2008.00264.x
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| Feature | AliveCor QT Service<br>(Subject Device) | K170155 EK12<br>Algorithm<br>(Predicate Device) | K201985 KardiaAI<br>(Reference Device) |
|----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | DQK, Computer,<br>Diagnostic, Programmable<br>DPS, Electrocardiograph | MHX, Monitor,<br>Physiological, Patient<br>(With Arrhythmia<br>Detection or<br>Alarms) | DQK, Computer,<br>Diagnostic, Programmable<br>DPS, Electrocardiograph |
| Regulation | 21 CFR§870.1425,<br>Programmable diagnostic<br>computer | 21 CFR 870.1025,<br>Arrhythmia detector and<br>alarm | 21 CFR§870.1425,<br>Programmable diagnostic<br>computer |
| Classifi-cation | II | II | II |
| Indications for<br>Use | AliveCor QT Service<br>analyses 30 seconds of a<br>previously acquired<br>electrocardiogram (ECG)<br>from AliveCor designed 6-<br>Lead ambulatory ECG<br>devices analyzed as normal<br>sinus rhythm for QT<br>interval measurements.<br>AliveCor QT Service is<br>intended for use in a<br>professional medical<br>facility, such as a hospital,<br>clinic, or doctor's office by<br>a qualified health care<br>professional, including<br>trained ECG technician.<br>AliveCor QT Service is<br>indicated for use on adult<br>patients (older than 18<br>years). The device has not<br>been tested for and is not<br>intended for pediatric use.<br>The service is not intended<br>for use in life supporting,<br>or sustaining systems, or | EK12 Algorithm analyzes<br>ten or more seconds of a<br>previously acquired<br>electrocardiogram (ECG)<br>from physiological ECG<br>signal recording devices<br>for rhythm and<br>measurements. EK12<br>Algorithm is used to create<br>reports intended for use by<br>a Qualified Medical<br>Professional, including a<br>trained ECG Technician<br>operating within<br>Independent Diagnostic<br>Testing Facility (IDTF)<br>requirements and<br>performance standards for<br>the review and assessment<br>of an ECG.<br>EK12 Algorithm is<br>indicated for use on adults<br>and pediatric patients older<br>than 2 years.<br>The device is intended for<br>use in an IDTF or a | KardiaAI is a software<br>analysis library intended to<br>assess ambulatory<br>electrocardiogram (ECG)<br>rhythms from adult<br>subjects (when prescribed<br>or used under the care of a<br>physician). The device<br>supports analyzing data<br>recorded in compatible<br>formats from any<br>ambulatory ECG devices<br>such as event recorders, or<br>other similar devices. The<br>library is intended to be<br>integrated into other device<br>software. The library is<br>not intended for use in life<br>supporting, or sustaining<br>systems, or ECG monitors,<br>or cardiac alarm devices,<br>or OTC use only devices.<br>The KardiaAI library<br>provides the following<br>capabilities:<br>●<br>Filtering ECG noise, |
| Feature | AliveCor QT Service<br>(Subject Device) | K170155 EK12<br>Algorithm<br>(Predicate Device) | K201985 KardiaAI<br>(Reference Device) |
| | continuous ECG monitors,<br>or cardiac alarm devices,<br>or OTC use only devices. | professional medical<br>facility, such as a hospital,<br>clinic, or doctor's office. | Reporting heart rate measurement from ECGs,Detecting noisy ECGs,Reporting ECG rhythm analysis for the presence of sinus rhythm, atrial fibrillation, bradycardia, and tachycardia; for ECGs detected as sinus rhythm, detecting normal sinus rhythm, sinus rhythm with wide QRS, sinus rhythm with premature ventricular contractions (PVC), and sinus rhythm with supraventricular ectopy,Detecting QRS complexes in an ECG,For ECGs detected as sinus rhythm, classifying individual beats as a PVC or non-PVC beat, andGenerating an average beat from an ECGThe device is not intended for use in patients who have pacemakers, ICDs, or other implanted electronic devices |
| Target<br>population | Adults (over 18) | Adults and pediatric<br>patients older than 2 years | Adults (over 18) |
| Feature | AliveCor QT Service<br>(Subject Device) | K170155 EK12<br>Algorithm<br>(Predicate Device) | K201985 KardiaAI<br>(Reference Device) |
| Indicated Use<br>Method | Prescription Use | Prescription Use | Prescription Use |
| Form Factor | Software only | Software only | Software only |
| Compatible<br>ECG Leads | Lead-I and Lead-II from<br>AliveCor-designed six-lead<br>ambulatory ECG | 12-lead or any subset of<br>12-leads | Lead-I from AliveCor-<br>designed ambulatory ECG |
| Technology | Software algorithm | Software algorithm | Software algorithm |
| ECG Analysis | QT and heart-rate<br>corrected QT intervals | Rhythm and measurement<br>analysis including QT and<br>heart-rate corrected QTc<br>intervals | Rhythm analysis |
| Technological<br>characteristics | Adaptive filtering, signal<br>processing, deep neural<br>networks | Adaptive filtering, signal<br>processing, regression<br>models | Adaptive filtering, signal<br>processing, deep neural<br>networks |
## Comparison of Technological Characteristics with the Predicate Device [807.92(a)(6)]
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# Comparison of Technological Characteristics with the Predicate Device [807.92(a)(6)]
{9}------------------------------------------------
# Comparison of Technological Characteristics with the Predicate Device [807.92(a)(6)]
### Performance Data [807.92(b)]
All necessary testing was conducted on AliveCor QT Service to support a determination of substantial equivalence to the predicate device.
### Nonclinical Testing Summary [807.92(b)(1)]
AliveCor conducted bench performance testing of the subject device to validate that the device meets its performance specifications and to demonstrate that, in light of the technological differences between AliveCor OT Service and its predicate, the subject device is at least as safe and as effective as the predicate device for the same intended use.
Nonclinical testing was conducted to assess algorithm performance and to verify that the AliveCor QT Service estimated QT and heart-rate corrected QT intervals have a mean interval difference ≤ ± 20ms and a standard deviation of interval difference ≤ 25ms when compared to an expert annotated reference interval from a supine. diagnostic bandwidth, 12-lead ECG. Algorithm performance was evaluated using standards-based and AliveCor proprietary ECG databases. The databases were selected or developed to demonstrate that the QT interval measurement is accurate and can be used to measure the interval on ECGs recorded from AliveCor designed six-lead ECG devices by adults. Additionally, the subject device and the predicate were comparatively evaluated against appropriate databases to demonstrate substantially equivalent performance.
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#### 510(k) Summary for K212662, AliveCor QT Service AliveCor, Inc.
In summary, the results of the nonclinical testing demonstrate that AliveCor QT Service performs to its specifications, meets its intended use with substantially equivalent performance to that of the predicate device and does not raise different questions of safety or effectiveness.
#### Clinical Testing Summary [807.92(b)(2)]
No clinical testing was required to establish substantial equivalence.
#### Conclusions [807.92(b)(3)]
AliveCor QT Service has the same intended use as the predicate device, and the labeling differences do not raise different questions of safety or effectiveness. Therefore, AliveCor QT Service 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.