AI-powered detection and precision medicine for cardiology

AI technology, based on science

Trusted by leading Life Sciences and MedTech companies to drive innovation and better patient outcomes

AstraZeneca
Abbott
GE Healthcare
Medtronic
prevent-analysis

Bringing the power of AI to cardiac care

Idoven has developed the world’s first cardiology-as-a-service platform powered by artificial intelligence that augments a clinician’s ability to identify, triage and diagnose patients at scale.



Solutions

We are driving innovation and enhancing patient care across several areas of healthcare.

What makes Idoven’s platform so powerful

Database

Our AI models are trained on one of the most diverse and longest ECG databases, from both healthy individuals and diagnosed patients.
1.25 million

ECG hours in database, manually annotated for the sole purpose of AI training

hours in database
10,200+

Patients monitored in clinical trials

Patients monitored
17

Collaborators from leading EU and US research centres and industry partners on stroke and atrial fibrillation (MAESTRIA H2020)

AI technology, based on science

We have developed diagnostic and prediction machine learning models based on a deep knowledge and basic research of the human heart.
31

Publications in top-tier scientific journals

5

Prediction models targeting cardiovascular disease under development

22

Cardiac patterns detected automatically with AI

 patterns detected automatically

Willem ECG Analysis Platform certified as Medical Device Class IIa

Certified according to the Regulation (EU) 2017/745 on Medical Devices for the assessment of arrhythmias by qualified healthcare professionals using ECG data. Capable of detecting 22 cardiac patterns and 4 intervals (P Interval, PR Interval, QT Interval, and QRS duration) across various ECG recording device types:
Ambulatory ECG devices, including holter and patch
(1 and 2-lead)
Standard diagnostic resting ECG devices
(12-lead)
Insertable Cardiac Monitors (ICM)

CE marked - Class IIa
(EU MDR)

Security & data privacy

Our cloud-based infrastructure provides reliability, compliance and security.

Device neutrality & interoperability

Our solution is device neutral and made available to customer via API and non-API tools to enable bi-directional data exchange.
EDF, HL7, DICOM, JSON, XML, PDF...

Ingests data from standard and proprietary formats.

30 seconds to 30 days

Analyses ECGs of any duration, to deliver results in minutes.

ECGs, holters, patches, implantables, wearables
ECGs, holters, patches, implantables, wearables...

Works with any ECG device compliant with standards IEC 60601-2-25, IEC 60601-2-27 and IEC 60601-2-47

Our science

We are working with world-class research centres in cardiovascular research. Our R&D demonstrate scientific advances in cardiology and machine learning, published in high-impact factor journals such as Nature, Heart, European Heart Journal, Circulation and Europace.
Artificial intelligence cloud platform improves arrhythmia detection from insertable cardiac monitors to 25 cardiac rhythm patterns through multi-label classification
Current and Future Use of Artificial Intelligence in Electrocardiography
AI improved ICMs detection showing an overall accuracy of 95.4%
"ST-segment elevation (STE) not associated with acute cardiac necrosis - a study to improve patients classification with AI-powered ECG analysis"
Smart-IoT Business Process Management: A Case Study on Remote Digital Early Cardiac Arrhythmia Detection and Diagnosis
Cloud computing system offers near-90% accuracy for automatic classification of cardiac arrhythmias

Get the latest news and updates from Idoven!

We are working with leading pharmaceutical and medical device companies in 3 focus areas:

This is some text inside of a div block.
This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.This is some text inside of a div block.
Iker Casillas, Idoven investor & ambassador

Join Iker Casillas and pro athletes in donating your heartbeats for science

On May 1, 2019, Iker Casillas, World-cup winning goalkeeper and United Nations Goodwill ambassador, suffered a heart attack during training at the age of 38. Today, he relies on Idoven to care for his heart. Together with the Iker Casillas Foundation, Idoven is able to impact the lives of vulnerable groups at high risk of cardiovascular diseases.

Join Iker, olympic athletes and global tech organisations in the #donateyourheartbeats movement to advance research in the prevention of heart attacks, strokes and other cardiovascular diseases.

Help us build a healthier world

Idoven is at the very forefront of advancing AI technology in health and cardiovascular care to help doctors and patients all over the world. We'd like your help.

December 13, 2023

Idoven's AI Platform improves arrhythmia detection in ICMs from 4 to 25 cardiac rhythm patterns

December 5, 2023

Idoven Named to the 2023 CB Insights’ Digital Health 50 List

November 7, 2023

ASSIST Consortium: AI-Powered Early Diagnosis for Heart Attacks

1 The Willem™ ECG Analysis Platform 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.

Contact

Revolutionize cardiovascular care with Idoven. Discuss the possibilities with us.
Thank you!
We will get back to you within 5 days, please check your spam folder
Back to Idoven
Oops! Something went wrong while submitting the form.
Thank you!
We will get back to you within 5 days, please check your spam folder
Back to Idoven
Oops! Something went wrong while submitting the form.