Collaborative research

At Idoven, we are at the forefront of global research, collaborating in international consortia and pioneering transformative scientific studies.

Building AI-based ECG analysis solution for early and accurate heart attack diagnosis

The ASSIST Consortium, powered by Willem, Idoven's AI platform, aims to swiftly and accurately diagnose suspected heart attacks in emergency units. This initiative focuses on reducing mortality, optimizing healthcare efficiency, and improving overall patient care.

Backed by €1.5 million from EIT Health Spain, an EU agency, and led by Idoven, this project involves the collaboration of 14 leading international institutions.
Heart attacks
2023-2025
We believe this project will truly change clinical practice in the future. Early diagnosis is crucial for patients with acute coronary syndrome, and with this project, we will be able to provide prompt, improved treatment.”
Quote from Dr. Manuel Martínez-Sellés, Clinical Chief of Cardiology at Hospital Gregorio Marañón & President of Ilustre Colegio Oficial de Médicos de Madrid (ICOMEM).Sitio webCómo

The world's first machine learning platform for atrial cardiomyopathy diagnosis

The MAESTRIA Consortium aims to develop the first diagnostic digital platform for atrial cardiomyopathy, enhancing care management and identifying novel therapeutic targets for personalized medicine in cases of atrial fibrillation (AF) and stroke.

Funded with a €14 million grant from the Horizon 2020 European Commission, it unites Oxford University, Massachusetts General Hospital, and 15 other top-tier research institutions.
Atrial Fibrillation & Stroke
2021-2025

AI ECG Analysis for High-Risk Cardiac Patients

Explore WILLEM, Idoven's multicenter study validating our AI-powered ECG platform for early diagnosis and prediction of cardiac abnormalities in patients admitted to cardiovascular units.

Collaborating with Sociedad Española de Cardiología and CIBER, our study aims to enhance automatic classification and prediction of cardiac issues, potentially preventing harmful treatments and lowering the risk of severe events.
Multiple cardiac diseases
2023-2025

Idoven main Consortiums and clinical studies

ASSIST

2023-2025
Spain, Netherlands, America 
To swiftly and accurately diagnose suspected heart attacks in emergency units using Willem, Idoven's AI-powered ECG analysis platform. Funded by EIT Health.
Heart attacks
10.340 Participants

WILLEM

2023-2025
Spain
To validate the use of AI software to analyse EGM and ECG to identify cardiac patterns at a cardiologist-level.
Multiple Cardiac Diseases
40.000 Participants

MAESTRIA

2021-2025
Spain, Netherlands, Switzerland
To develop the world's first machine learning platform for atrial cardiomyopathy diagnosis, aiming to enhance care management, and identify novel therapeutic targets for personalized medicine in atrial fibrillation and stroke cases.
Atrial Fibrillation
660 Participants

REDO-FIRM

2016-2020
US, Belgium, Netherlands, Germany
To evaluate the safety and effectiveness of FIRM-guided procedures in conventional "redo" RF ablation for atrial fibrillation, partnering with Abbott.
Atrial Fibrillation
269 Participants

UMBRELLA

2011-2017
Spain
To assess the prediction of paroxysmal to persistent atrial fibrillation, conducted across 51 centers for ICD/CRT-D and 2 centers for pacemakers, partnering with Medtronic.
Atrial Fibrillation
4.648 Participants

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.

Contact

Revolutionize cardiovascular care with Idoven. Discuss the possibilities with us.
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