Collaborative research

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

Explore our consortia

Augmenting Heart Failure Detection in Primary Care with AI ECG Platform

The FAITHFUL Consortium, powered by Willem, Idoven's AI platform, aims to redefine heart failure detection in Primary Care, enhancing early detection to improve patient prognosis and anticipate a 40% reduction in hospitalizations, leading to significant healthcare cost savings.

Backed by €1.7 million from EIT Health Spain, an EU agency, and led by Idoven with support from AstraZeneca, this project involves the collaboration of 14 leading international institutions.

Heart Failure

2024-2025

Discover more

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

Discover more

“

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 web Cómo

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

Discover more

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

Discover more

Building a Multinational Data Platform and AI Solutions for Chronic Disease Management

The ARISTOTELES Consortium aims to develop trustworthy AI tools to predict the risk and progression of chronic diseases, enhancing patient care and management, with an initial focus on tackling the complexities of atrial fibrillation.

Funded with a €6 million grant from Horizon Europe 2022, the consortium is coordinated by Professors Giuseppe Boriani (University of Modena) and Gregory Y.H. Lip (University of Liverpool), Medical Advisor of Idoven, and includes 18 partners from 10 European countries.

Chronic Diseases

Atrial Fibrillation

Discover more

Idoven main Consortiums and clinical studies

FAITHFUL

2024-2025

Spain, France, Sweden, Estonia

To redefine heart failure detection in Primary Care by integrating Willem, Idoven’s AI cardiology platform, into clinical practice. Funded by EIT Health with €1.7M.

Heart Failure

2.545 Patients

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, Netherlands, Sweden, Switzerland

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

ARISTOTELES

2023-2027

Italy, UK, Spain, Belgium, Norway, Others

To develop trustworthy AI tools to predict the risk of chronic diseases and their progression. Funded by Horizon Europe Health 2022 with €6M.

Chronic diseases

1.200 Patients

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.

Our publications

Collaborative research

Augmenting Heart Failure Detection in Primary Care with AI ECG Platform

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

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

AI ECG Analysis for High-Risk Cardiac Patients

Building a Multinational Data Platform and AI Solutions for Chronic Disease Management

Idoven main Consortiums and clinical studies

FAITHFUL

ASSIST

WILLEM

ARISTOTELES

MAESTRIA

REDO-FIRM

UMBRELLA

Our science

Contact