Clinician reviews Philips Cardiologs Holter data on his computer.
Ambulatory monitoring and diagnostics

Cardiologs ECG analysis

Reinventing cardiology diagnostics with medical-grade AI and cloud technology

Our innovative software solutions utilize clinically validated AI to help reduce the burden of ECG analysis. We aim to make cardiology diagnostics scalable and accessible to everyone. We provide tools for clinicians and service providers across the globe to face the increased demand for cardiological diagnosis.

Two clinicians review ECG data to determine the next step in care.

Pioneering the development of medical-grade AI [1]

Our Holter Platform is the first FDA-cleared ECG analysis solution powered by deep learning technology. With over 20 publications and abstracts, four patents and more than 200 million ECGs processed, our platform helps diagnose over two million patients per year.
Learn more about our medical-grade AI and clinical validation.
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A clinician reviews Cardiologs Holter data on a laptop between consults.
Clinically validated AI you can trust
Learn how our AI technology can help alleviate the burden of redundant ECG analysis tasks. Click ‘Read more’ to discover the robust validation behind our algorithms and gain access to our full list of publications.
A clinician analyzes ECG data using Philips Cardiologs Holter

By leveraging Cardiologs Holter, we were able to triple our Holter activity in 2 years, delivering faster diagnoses to more patients.

Dr. Laurent Fiorina
Dr. Laurent Fiorina
Cardiac Electrophysiologist
Institut Cardiovasculaire Paris-Sud (ICPS)
A clinician reviews ECG data using Cardiologs Holter.

Documentation

The role of Artificial Intelligence in transforming cardiac diagnostics 
PDF|(1.39 MB)
Footnotes
  1. The Cardiologs Platform interpretation results are not intended to be the sole means of diagnosis. They are 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.
Disclaimer
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. Results in other cases may vary.