Summary:
The FAITHFUL innovation project consortium, spearheaded by the Spanish startup Idoven and supported by EIT Health, in collaboration with the ICOMEM Foundation, has embarked on developing a technological solution aimed at preventing 4 out of 10 hospitalizations due to heart failure (HF) in Europe.
The project is based on the use of advanced algorithms and artificial intelligence applied to electrocardiograms (ECGs) to detect early signs of heart failure in primary care. By providing a disease score based on ECG results, this innovative approach provides crucial information to healthcare professionals in primary care centers to make informed decisions about patient treatment and management, potentially referring them earlier to a cardiologist. The project will recruit over 2,500 European patients with risk factors associated with heart failure to demonstrate the reliability of its algorithm in early detection of decompensations caused by this disease.
Heart failure affects 770,000 people in Spain and over 15 million in Europe. Additionally, it is the leading cause of hospitalization in individuals over 65 and of unplanned hospital readmissions. Studies also indicate that hospitalizations for HF will increase by 50% in the next 25 years, primarily due to the progressive aging of the population and an increasing prevalence of cardiovascular risk factors such as hypertension, diabetes, hypercholesterolemia, or obesity, among others
EIT Health, a part of the European Institute of Innovation and Technology (EIT), an EU body, has chosen this project led by the Spanish startup Idoven, with a funding of 1.7 million euros until the end of 2025.
Article written by IMMédico
16/04/2024
Source:
IMMMédico
https://www.immedicohospitalario.es/noticia/45495/la-ia-en-electrocardiogramas-podria-reducir-un-40-las-hospitalizacio.html