DeepRhythmAI

K253141 · Medicalgorithmics S.A. · DQK · Dec 11, 2025 · Cardiovascular

Device Facts

• Record ID: K253141
• Device Name: DeepRhythmAI
• Applicant: Medicalgorithmics S.A.
• Product Code: DQK · Cardiovascular
• Decision Date: Dec 11, 2025
• Decision: SESE
• Submission Type: Traditional
• Regulation: 21 CFR 870.1425
• Device Class: Class 2
• Attributes: AI/ML, Software as a Medical Device

Intended Use

DeepRhythmAI is a cloud-based software that utilizes AI algorithms to assess cardiac arrhythmias using a single- or two-lead ECG data from adult patients. It is intended for use by a healthcare solution integrator to build web, mobile or another types of applications to let qualified healthcare professionals review and confirm the analytic result. The product supports downloading and analyzing data recorded in the compatible formats from ECG devices such as Holter, Event recorder, Outpatient Cardiac Telemetry devices or other similar recorders when the assessment of the rhythm is necessary. The product can be electronically interfaced and perform analysis with data transferred from other computer-based ECG systems, such as an ECG management system. DeepRhythmAI can be integrated into medical devices. In this case, the medical device manufacturer will identify the indication for use depending on the application of their device. DeepRhythmAI is not for use in life-supporting or sustaining systems or ECG Alarm devices. Interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms and other diagnostic information.

Device Story

DeepRhythmAI is cloud-based software for automated ECG analysis. It accepts single- or two-lead ECG data via secure API from ambulatory recorders (Holter, Event, Telemetry) or ECG management systems. The device uses proprietary deep-learning (CNN and transformer) models to detect cardiac beats, arrhythmias, and intervals (QRS, heart rate, RR intervals, PVCs, AV blocks). It performs hierarchical clustering of PVCs by morphology. The device lacks a user interface; it integrates into third-party web/mobile applications used by healthcare professionals. Output is advisory, providing supportive information for clinical review. Physicians use these results alongside patient history and clinical context to inform diagnostic decisions. Benefits include automated, scalable arrhythmia detection and morphology grouping to assist clinicians in rhythm assessment.

Clinical Evidence

Bench testing only. Validation performed using a proprietary database (MDG validation db) containing large-scale recordings from the intended patient population, including various hardware configurations (single/two-lead recorders). Testing followed ANSI/AAMI/IEC 60601-2-47:2012/(R)2016 and AAMI/ANSI/EC57:2012. Software verification and validation (unit, integration, system level) conducted per ANSI/AAMI/IEC 62304 and FDA guidance. Cybersecurity testing confirmed no vulnerabilities.

Technological Characteristics

Cloud-based software; API-based integration. Utilizes CNN and transformer deep-learning models. Compatible with single- or two-lead ECG data. Standards: ANSI/AAMI/IEC 60601-2-47:2012/(R)2016, AAMI/ANSI/EC57:2012, ANSI/AAMI/IEC 62304.

Indications for Use

Indicated for adult patients requiring assessment of cardiac arrhythmias using single- or two-lead ECG data. Not for use in life-supporting/sustaining systems or ECG alarm devices.

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.

Predicate Devices

• DeepRhythmAI (K250932)

Submission Summary (Full Text)

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FDA U.S. FOOD & DRUG ADMINISTRATION

December 11, 2025

Medicalgorthmics S.A.
Agnieszka Romowicz
Product Compliance Manager
Aleje Jerozolimskie 81
Warsaw, 02-001
Poland

Re: K253141
Trade/Device Name: DeepRhythmAI
Regulation Number: 21 CFR 870.1425
Regulation Name: Programmable Diagnostic Computer
Regulatory Class: Class II
Product Code: DQK, DPS, QYX
Dated: September 25, 2025
Received: September 25, 2025

Dear Agnieszka Romowicz:

We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.

If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.

U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov

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K253141 - Agnieszka Romowicz
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).

Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).

Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.

All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.

Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-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/medical-devices/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-devices/device-advice-comprehensive-regulatory-

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K253141 - Agnieszka Romowicz
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assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email ([e-mail]) or phone [phone] or 301-796-7100).

Sincerely,

JENNIFER W. SHIH -S

Jennifer Kozen
Assistant Director
Division of Cardiac Electrophysiology,
Diagnostics, and Monitoring Devices
OHT2: Office of Cardiovascular Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health

Enclosure

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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K253141 | ? |
| Please provide the device trade name(s). | | ? |
| DeepRhythmAI | | |
| Please provide your Indications for Use below. | | ? |
| DeepRhythmAI is a cloud-based software that utilizes AI algorithms to assess cardiac arrhythmias using a single- or two-lead ECG data from adult patients.

It is intended for use by a healthcare solution integrator to build web, mobile or another types of applications to let qualified healthcare professionals review and confirm the analytic result. The product supports downloading and analyzing data recorded in the compatible formats from ECG devices such as Holter, Event recorder, Outpatient Cardiac Telemetry devices or other similar recorders when the assessment of the rhythm is necessary.

The product can be electronically interfaced and perform analysis with data transferred from other computer-based ECG systems, such as an ECG management system. DeepRhythmAI can be integrated into medical devices. In this case, the medical device manufacturer will identify the indication for use depending on the application of their device.

DeepRhythmAI is not for use in life-supporting or sustaining systems or ECG Alarm devices. Interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms and other diagnostic information. | | |
| Please select the types of uses (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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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAl
510(k) Summary
K253141
September 25, 2025

# 510(k) Summary

## I. Submitter's name and address:

Medicalgorithmics S.A.
Aleje Jerozolimskie 81,
02-001 Warsaw, Poland

Contact Person:
Agnieszka Romowicz
Phone: [phone]
Mobile: [phone]
Email: [e-mail]

Date Prepared: 2025-09-25

## II. Device

Trade name: DeepRhythmAl
Common name: ECG Analysis System
Classification name: Programmable Diagnostic Computer/ Electrocardiograph/ Outpatient Cardiac Telemetry
Regulation number: 870.1425
870.2340
870.1025
Regulatory Class: Class II
Classification Product code: DQK, DPS, QYX

## III. Substantial Equivalence

The selected predicate device is:

1. DeepRhythmAl, K250932 (Predicate Device)

No reference devices were used in this submission.

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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAI
510(k) Summary
K253141

## IV. Device description

DeepRhythmAI is a cloud-based software utilizing CNN and transformer models for automated analysis of ECG data. It uses a scalable Application Programming Interface (API) to enable easy integration with other medical products. The main component of DeepRhythmAI is an automated proprietary deep-learning algorithm, which measures and analyzes ECG data to provide qualified healthcare professionals with supportive information for review. DeepRhythmAI can be integrated into medical devices. The product supports downloading and analyzing data recorded in compatible formats from ECG devices such as Holter, Event recorder, Outpatient Cardiac Telemetry devices or other similar recorders used when assessment of the rhythm is necessary.

The DRAI can also be electronically interfaced and perform analysis with data transferred from other computer-based ECG systems, such as an ECG management system. DeepRhythmAI doesn't have User Interface therefore it should be integrated with the external visualization software used by the ECG technicians for ECG visualization and analysis reporting.

DeepRhythmAI is not for use in life supporting or sustaining systems or ECG Alarm devices. Interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information.

## DRAI consists of:

1. An API which allows the client to upload single- or two-lead ECG data and allows to download the results of the ECG analysis.
2. The automated proprietary deep-learning algorithm, which measures and analyzes ECG data to provide qualified healthcare professional with supportive information for review.

## DRAI works in the following sequence:

1. Accept uploading digital ECG files via secure API;
2. Analyze the uploaded ECG data using a proprietary algorithm, which detects cardiac beats/arrhythmias and intervals including:
- QRS
- Heart rate determination
- RR Interval measurements
- Non-paced supraventricular rhythm and arrhythmia calls as specified by product's Instruction for Use
- Non-paced ventricular rhythm and arrhythmia calls: as specified by product's Instruction for Use

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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAI
510(k) Summary
K253141

- Atrioventricular blocks (second or third degree)
3. Analyze detected individual Ventricular ectopic beats also known as Premature Ventricular Contractions (PVCs) to form groups and subgroups of similar beat morphology if product is configured to do so.
4. The results of the ECG analysis can be downloaded via secure API by the external visualization software used by healthcare professionals for the ECG visualization and analysis reporting.

## V. Indications for use

DeepRhythmAI is a cloud-based software that utilizes AI algorithms to assess cardiac arrhythmias using a single- or two-lead ECG data from adult patients.

It is intended for use by a healthcare solution integrator to build web, mobile or another types of applications to let qualified healthcare professionals review and confirm the analytic result. The product supports downloading and analyzing data recorded in the compatible formats from ECG devices such as Holter, Event recorder, Outpatient Cardiac Telemetry devices or other similar recorders when the assessment of the rhythm is necessary.

The product can be electronically interfaced and perform analysis with data transferred from other computer-based ECG systems, such as an ECG management system. DeepRhythmAI can be integrated into medical devices. In this case, the medical device manufacturer will identify the indication for use depending on the application of their device.

DeepRhythmAI is not for use in life-supporting or sustaining systems or ECG Alarm devices. Interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms and other diagnostic information.

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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAl
510(k) Summary
K253141

# VI. Comparison to predicate device

The following table provide a comparison of the detection features of DeepRhythmAl and the predicate device.

Detection Features comparison:

| Device functionality | Subject device (K253141) | Predicate device (K250932) |
| --- | --- | --- |
| | DeepRhythmAl | DeepRhythmAl |
| QRS detection | YES | YES |
| Heart rate determination for non-paced adult | YES | YES |
| R-R interval detection | YES | YES |
| Non-paced arrhythmias interpretation | YES | YES |
| Non-paced ventricular arrhythmias calls | YES | YES |
| Atrial fibrillation detection | YES | YES |
| Cardiac beats detection (Ventricular ectopic beats, Supraventricular ectopic beats) | YES | YES |
| PVC Morphology grouping | YES | NO |
| Patient populations | Adult | Adult |

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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAI
510(k) Summary
K253141

The following table provides a comparison of the intended use and device characteristics of the proposed DeepRhythmAI device and predicate device:

| Device functionality | Subject device K253141 | Predicate device (K250932) | Similarities/ Differences |
| --- | --- | --- | --- |
| | DeepRhythmAI (DRAI) | DeepRhythmAI (DRAI) | |
| Manufacturer | Medicalgorithmics S.A. | Medicalgorithmics S.A. | N/A |
| 510(k) Number | --- | K250932 | N/A |
| Classification | Class II | Class II | Equivalent |
| Regulation Number(s) | 21 CFR §870.1425
21 CFR §870.2340
21 CFR §870.1025 | 21 CFR §870.1425
21 CFR §870.2340
21 CFR §870.1025 | Equivalent |
| Classification name | Programmable Diagnostic Computer, Electrocardiograph, Outpatient Cardiac Telemetry | Programmable Diagnostic Computer, Electrocardiograph, Outpatient Cardiac Telemetry | Equivalent |
| Product Code | DQK, DPS, QYX | DQK, DPS, QYX | Equivalent |
| Indications for Use | DeepRhythmAI is a cloud-based software for the assessment of cardiac arrhythmias using two lead ECG data in adult patients.
It is intended for use by a healthcare solution integrator to build web, mobile or another types of applications to let qualified healthcare professionals review and confirm the analytic result. The product supports downloading and analyzing data recorded in the compatible formats from dedicated ambulatory ECG devices such as Holter, event recorder, Outpatient Cardiac Telemetry devices or other similar recorders when the assessment of the rhythm is necessary. The product can be electronically interfaced and perform analysis with | DeepRhythmAI is a cloud-based software for the assessment of cardiac arrhythmias using two lead ECG data in adult patients.
It is intended for use by a healthcare solution integrator to build web, mobile or another types of applications to let qualified healthcare professionals review and confirm the analytic result. The product supports downloading and analyzing data recorded in the compatible formats from dedicated ambulatory ECG devices such as Holter, event recorder, Outpatient Cardiac Telemetry devices or other similar recorders when the assessment of the rhythm is necessary. The product can be electronically interfaced and perform analysis with | Equivalent |

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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAl
510(k) Summary
K253141

| Device functionality | Subject device
K253141 | Predicate device
(K250932) | Similarities/
Differences |
| --- | --- | --- | --- |
| | DeepRhythmAl
(DRAI) | DeepRhythmAl
(DRAI) | |
| | data transferred from other computer-based ECG systems, such as an ECG management system. DeepRhythmAl can be integrated into medical devices. In this case, the medical device manufacturer will identify the indication for use depending on the application of their device. | data transferred from other computer-based ECG systems, such as an ECG management system. DeepRhythmAl can be integrated into medical devices. In this case, the medical device manufacturer will identify the indication for use depending on the application of their device. | |
| | DeepRhythmAl is not for use in life-supporting or sustaining systems or ECG Alarm devices. Interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms and other diagnostic information. | DeepRhythmAl is not for use in life-supporting or sustaining systems or ECG Alarm devices. Interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms and other diagnostic information. | |
| Documentation Level Evaluation | Enhanced Documentation Level | Enhanced Documentation Level | Equivalent |
| Components | Software only:
1) A web API
2) An automated proprietary algorithm. | Software only:
1) A web API
2) An automated proprietary algorithm. | Equivalent |
| Interface | Web application programming interface (API) | Web application programming interface (API) | Equivalent |
| Part responsible for ECG signal analysis | The automated proprietary deep-learning algorithm, which measures and analyzes ECG data to provide qualified healthcare professional with | The automated proprietary deep-learning algorithm, which measures and analyzes ECG data to provide qualified healthcare professional with | Equivalent |

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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAI
510(k) Summary
K253141

| Device functionality | Subject device K253141 | Predicate device (K250932) | Similarities/ Differences |
| --- | --- | --- | --- |
| | DeepRhythmAI (DRAI) | DeepRhythmAI (DRAI) | |
| | supportive information for review. | supportive information for review. | |
| Display or Graphical User Interface (GUI) | No primary display or GUI | No primary display or GUI | Equivalent |

Device comparison summary:

Indications for Use in both predicate and subject device are the same. The automated proprietary deep-learning algorithm which is responsible for ECG signal analysis remains unchanged. The only difference is an additional feature added as the ability to cluster individual PVCs into groups of similar morphology.

The DRAI device's technological characteristics are like those of the cleared predicate device.

The subject device is considered substantially equivalent to the predicate device.

## VII. Summary of performance data

The DeepRhythmAI software for arrhythmia detection and automated analysis of ECG data has been subjected to performance testing according to the recognized consensus standards, ANSI/AAMI/IEC 60601-2-47:2012/(R)2016 and AAMI/ANSI/EC57:2012, Moreover, to enable robust device validation, the algorithm was tested against the proprietary database (MDG validation db) that includes a large number of recordings captured among the intended patient population. MDG validation database allowed for validation of additional compatible hardware configurations including two-leads recorders and single lead patch recorders located on the upper, mid/left chest. Moreover, the DeepRhythmAI has been subjected to performance validation testing for a hierarchical Premature Ventricular Contraction (PVC) clustering algorithm. It shows that PVC grouping algorithm meets predefined requirements for accuracy when clustering individual PVCs into groups of similar morphology from electrocardiogram (ECG) data.

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MEDICALgorithmics
INNOVATIVE SOLUTIONS IN MEDICINE
Traditional 510(k) Premarket Notification
DeepRhythmAI
510(k) Summary
K253141

Furthermore, Medicalgorithmics followed ANSI/AAMI/IEC 62304 and the FDA Guidance Document, "General Principles of Software Validation; Final Guidance for Industry and FDA Staff" (January, 2002) with respect to software development and validation. Unit, integration and system level testing conducted identified no residual anomalies during verification software tests. Cybersecurity testing was conducted in which no vulnerabilities were identified and all software requirements were satisfied. Overall, the software verification & validation testing was completed successfully and met all requirements. Testing demonstrated that the subject device performance was deemed to be acceptable.

## VIII. Conclusion

In conclusion, DeepRythmAI based on the Intended Use, Indications for Use, product technical information, performance evaluation, and standards compliance provided in this premarket notification, the DeepRythmAI has been shown to be substantially equivalent to the cited predicate.

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